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  Subjects -> METEOROLOGY (Total: 106 journals)
Showing 1 - 36 of 36 Journals sorted by number of followers
Journal of Atmospheric and Solar-Terrestrial Physics     Hybrid Journal   (Followers: 159)
Nature Climate Change     Full-text available via subscription   (Followers: 151)
Journal of the Atmospheric Sciences     Hybrid Journal   (Followers: 80)
Atmospheric Research     Hybrid Journal   (Followers: 73)
Atmospheric Environment     Hybrid Journal   (Followers: 72)
Climatic Change     Open Access   (Followers: 71)
Bulletin of the American Meteorological Society     Open Access   (Followers: 63)
Advances in Climate Change Research     Open Access   (Followers: 60)
Journal of Climate     Hybrid Journal   (Followers: 56)
Climate Policy     Hybrid Journal   (Followers: 53)
Climate Change Economics     Hybrid Journal   (Followers: 50)
Climate Dynamics     Hybrid Journal   (Followers: 45)
Advances in Atmospheric Sciences     Hybrid Journal   (Followers: 44)
Atmospheric Chemistry and Physics (ACP)     Open Access   (Followers: 43)
Weather and Forecasting     Hybrid Journal   (Followers: 43)
American Journal of Climate Change     Open Access   (Followers: 42)
Journal of Applied Meteorology and Climatology     Hybrid Journal   (Followers: 41)
Atmospheric Science Letters     Open Access   (Followers: 40)
Nature Reports Climate Change     Full-text available via subscription   (Followers: 40)
Journal of Hydrology and Meteorology     Open Access   (Followers: 39)
Atmosphere     Open Access   (Followers: 33)
Journal of Atmospheric and Oceanic Technology     Hybrid Journal   (Followers: 33)
International Journal of Climate Change Strategies and Management     Hybrid Journal   (Followers: 32)
The Quarterly Journal of the Royal Meteorological Society     Hybrid Journal   (Followers: 32)
Journal of Space Weather and Space Climate     Open Access   (Followers: 30)
Boundary-Layer Meteorology     Hybrid Journal   (Followers: 30)
Monthly Weather Review     Hybrid Journal   (Followers: 30)
Meteorology and Atmospheric Physics     Hybrid Journal   (Followers: 29)
International Journal of Climatology     Hybrid Journal   (Followers: 28)
Climate Change Responses     Open Access   (Followers: 27)
Space Weather     Full-text available via subscription   (Followers: 27)
Energy & Environment     Hybrid Journal   (Followers: 26)
Climate Resilience and Sustainability     Open Access   (Followers: 26)
International Journal of Atmospheric Sciences     Open Access   (Followers: 25)
Journal of Climate Change     Full-text available via subscription   (Followers: 25)
Advances in Meteorology     Open Access   (Followers: 25)
International Journal of Environment and Climate Change     Open Access   (Followers: 24)
Environmental Dynamics and Global Climate Change     Open Access   (Followers: 24)
Journal of Atmospheric Chemistry     Hybrid Journal   (Followers: 23)
Current Climate Change Reports     Hybrid Journal   (Followers: 22)
Agricultural and Forest Meteorology     Hybrid Journal   (Followers: 21)
Tellus A     Open Access   (Followers: 21)
Journal of Economic Literature     Hybrid Journal   (Followers: 20)
Tellus B     Open Access   (Followers: 20)
Global Meteorology     Open Access   (Followers: 19)
Dynamics of Atmospheres and Oceans     Hybrid Journal   (Followers: 19)
Journal of Meteorology and Climate Science     Full-text available via subscription   (Followers: 19)
Weatherwise     Hybrid Journal   (Followers: 18)
Weather and Climate Extremes     Open Access   (Followers: 18)
Economics of Disasters and Climate Change     Hybrid Journal   (Followers: 16)
Atmosphere-Ocean     Full-text available via subscription   (Followers: 16)
Atmospheric Chemistry and Physics Discussions (ACPD)     Open Access   (Followers: 15)
Theoretical and Applied Climatology     Hybrid Journal   (Followers: 14)
Monthly Notices of the Royal Astronomical Society     Hybrid Journal   (Followers: 13)
Climate Risk Management     Open Access   (Followers: 12)
Advances in Statistical Climatology, Meteorology and Oceanography     Open Access   (Followers: 12)
Atmospheric and Oceanic Science Letters     Open Access   (Followers: 11)
Journal of Hydrometeorology     Hybrid Journal   (Followers: 10)
Climate Research     Hybrid Journal   (Followers: 8)
Climate and Energy     Full-text available via subscription   (Followers: 8)
The Cryosphere (TC)     Open Access   (Followers: 8)
Journal of the Meteorological Society of Japan     Partially Free   (Followers: 7)
Climate of the Past (CP)     Open Access   (Followers: 7)
Climate     Open Access   (Followers: 7)
Aeolian Research     Hybrid Journal   (Followers: 7)
Climate Law     Hybrid Journal   (Followers: 6)
Dynamics and Statistics of the Climate System     Open Access   (Followers: 6)
Journal of Climate Change and Health     Open Access   (Followers: 6)
Carbon Balance and Management     Open Access   (Followers: 6)
Open Atmospheric Science Journal     Open Access   (Followers: 5)
Bulletin of Atmospheric Science and Technology     Hybrid Journal   (Followers: 5)
Open Journal of Modern Hydrology     Open Access   (Followers: 5)
Urban Climate     Hybrid Journal   (Followers: 5)
Meteorological Applications     Open Access   (Followers: 4)
Journal of Integrative Environmental Sciences     Hybrid Journal   (Followers: 4)
Frontiers in Climate     Open Access   (Followers: 4)
Journal of Weather Modification     Full-text available via subscription   (Followers: 4)
Russian Meteorology and Hydrology     Hybrid Journal   (Followers: 4)
Meteorologische Zeitschrift     Full-text available via subscription   (Followers: 4)
Climate Services     Open Access   (Followers: 4)
Acta Meteorologica Sinica     Hybrid Journal   (Followers: 4)
Journal of Climatology     Open Access   (Followers: 4)
Atmospheric Environment : X     Open Access   (Followers: 3)
npj Climate and Atmospheric Science     Open Access   (Followers: 3)
Oxford Open Climate Change     Open Access   (Followers: 3)
Environmental and Climate Technologies     Open Access   (Followers: 3)
International Journal of Biometeorology     Hybrid Journal   (Followers: 3)
International Journal of Image and Data Fusion     Hybrid Journal   (Followers: 3)
Atmósfera     Open Access   (Followers: 2)
GeoHazards     Open Access   (Followers: 2)
Journal of Meteorological Research     Full-text available via subscription   (Followers: 2)
Mediterranean Marine Science     Open Access   (Followers: 2)
Meteorologica     Open Access   (Followers: 2)
气候与环境研究     Full-text available via subscription   (Followers: 2)
Weather and Climate Dynamics     Open Access   (Followers: 1)
Modeling Earth Systems and Environment     Hybrid Journal   (Followers: 1)
Michigan Journal of Sustainability     Open Access   (Followers: 1)
Earth Perspectives - Transdisciplinarity Enabled     Open Access   (Followers: 1)
Tropical Cyclone Research and Review     Open Access   (Followers: 1)
Ciencia, Ambiente y Clima     Open Access   (Followers: 1)
Climate of the Past Discussions (CPD)     Open Access   (Followers: 1)
Nīvār     Open Access   (Followers: 1)
Meteorological Monographs     Hybrid Journal   (Followers: 1)
Studia Geophysica et Geodaetica     Hybrid Journal   (Followers: 1)
Revista Iberoamericana de Bioeconomía y Cambio Climático     Open Access   (Followers: 1)
Journal of Agricultural Meteorology     Open Access  
Mètode Science Studies Journal : Annual Review     Open Access  

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Similar Journals
Journal Cover
Energy & Environment
Journal Prestige (SJR): 0.258
Citation Impact (citeScore): 1
Number of Followers: 26  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0958-305X - ISSN (Online) 2048-4070
Published by Sage Publications Homepage  [1174 journals]
  • Environmental sustainability risk, institutional effectiveness and
           urbanization

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      Authors: Rexford Abaidoo, Elvis Kwame Agyapong
      Abstract: Energy & Environment, Ahead of Print.
      This study examines the effect of urbanization, institutional quality and other variables on environmental sustainability risk among economies in Sub-Saharan Africa (SSA). Environmental sustainability risk is examined from three main perspectives – emission of gases inimical to the environment (CO2 emissions), exploitation of land and water resources (ecological footprint) and exploitation of resources devoid of the requisite savings and education expenditure (genuine sustainability risk). Empirical analyses were performed using the Limited Information Maximum Likelihood (LIML) Instrumental Variable estimation technique. Estimated results suggest that urbanization, population growth and increase commodity prices on the global market (for key export commodities) worsen CO2 emissions among economies in the sub-region. The results further suggest that urbanization, population growth, governance and institutional structures increase resource exploitation. Additional results suggest that institutional quality lessens adverse effect urbanization has on environmental sustainability risk (CO2 emissions) and genuine sustainability risk; but exacerbates the impact urbanization has on ecological footprint. Given these findings, this study recommends conscious efforts at improving governance and institutional structures among governments in the sub-region to lessen adverse effect of urbanization and population growth on environmental sustainability risk.
      Citation: Energy & Environment
      PubDate: 2022-08-11T06:29:23Z
      DOI: 10.1177/0958305X221118876
       
  • Towards efforts to promote renewable energy development in Africa: Does
           governance quality matter'

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      Authors: Xuanming Pan, Toyo Amègnonna Marcel Dossou, Mesfin Welderufael Berhe, Emmanuelle Ndomandji Kambaye
      Abstract: Energy & Environment, Ahead of Print.
      In order to avert global climate change, the promotion of renewable energy is getting more attention from government and policymakers. There are many factors that can account for the determinant of renewable energy development. While the drivers of renewable energy development have been extensively examined, the influence of governance quality on renewable energy development is very scanty. To fill the gap in the literature, this study examines the influence of governance quality on renewable energy development in 42 African countries over the period 1996–2020. The empirical evidence is based on the panel corrected standard errors (PCSE) estimation technique to account for cross-sectional dependence. The results show that the impact of governance quality on renewable energy development is negative and statistically significant. This means that as governance quality increases, renewable energy development decreases. This is not surprising given the fact that governance quality in Africa is substantially low. In other words, the results imply that governance quality in most African countries still promote non-renewable and energy intensive production system.
      Citation: Energy & Environment
      PubDate: 2022-08-10T06:23:37Z
      DOI: 10.1177/0958305X221120259
       
  • Energy consumption inequality in China: What can an agent-based model tell
           us'

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      Authors: Yong Liu
      Abstract: Energy & Environment, Ahead of Print.
      China is a major energy consumer, however, related empirical research on China's unequal energy consumption is very limited. Therefore, according to the data from 30 provinces and cities, this study aims to establish a simulation model to analyse the Gini coefficient (the Lorenz curve) of China's energy consumption, and identify the main factors affecting the Gini coefficient through dynamic scenario analysis. During the simulation cycle (from 2022 to 2081), the average Gini coefficient of energy consumption fluctuates between 0.30 and 0.41, which indicates the inequality is slightly high. But the maximum value fluctuation ranges from 0.40 to 0.50, which indicates the inequality is high. The author also found that three factors—technological level, government subsidies, and growth rate of energy supply—can significantly affect the Gini coefficient of energy consumption. It is necessary to promote the technological level, increase subsidies for energy production, and promote the growth of total energy supply to significantly reduce inequity in energy consumption.
      Citation: Energy & Environment
      PubDate: 2022-08-10T06:23:16Z
      DOI: 10.1177/0958305X221120257
       
  • Investigating the environmental Kuznets curve in the five most complex
           countries: Insights from a modified ecological footprint model

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      Authors: Ugur Korkut Pata, Atike Elanur Hizarci
      Abstract: Energy & Environment, Ahead of Print.
      Several researchers have focused on the environmental Kuznets curve (EKC) hypothesis to analyze environmental degradation using carbon dioxide (CO2) emissions and ecological footprint as dependent variables. However, analyzes based on these variables neglect the supply side of environmental sustainability. To address this shortcoming, this study aims to examine the determinants of the ecological footprint pressure index (EFPI) in the context of the EKC hypothesis. The EFPI provides a more detailed picture of environmental issues by considering both ecological footprint and biocapacity. Thus, the study aims to add scientific value to the existing literature by analyzing the EFPI under the EKC hypothesis for the first time. Building on this, our research investigates the effects of economic complexity (ECX), per capita income, and renewable energy consumption (REC) on the EFPI by adopting a novel econometric approach. The results of the Fourier autoregressive distributed lag (ARDL) method show a cointegration relationship between income, ECX, renewable energy and EFPI in Germany, Switzerland and Sweden. The long-term elasticities indicate that ECX reduces the EFPI in Germany and Switzerland, while renewable energy mitigates environmental pressure in Switzerland and Sweden. Our findings also confirm the validity of the EKC hypothesis for Germany and Sweden. Based on these findings, the study suggests that ECX, renewable energy and economic growth can all be used as policy instruments to reduce environmental pressure in the three member states of the European Union.
      Citation: Energy & Environment
      PubDate: 2022-08-10T06:22:12Z
      DOI: 10.1177/0958305X221120255
       
  • Impact of interaction between financial development, urbanization, and
           energy consumption in China

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      Authors: Xiaorui Liu, Wen Guo, Qiang Feng, Peng Wang
      Abstract: Energy & Environment, Ahead of Print.
      Given the urgent need for China to reduce the growth rate of energy consumption (EC), the relationship between financial development (FD), urbanization (UR), and EC is directly related to the effectiveness of China's current ecological civilization construction. This study analyzes the internal relationship between the three from the perspectives of financial scale (FD1), financial structure (FD2), and financial efficiency (FD3) through the generalized method of moments (GMM) estimation, impulse response, and variance decomposition of the panel vector autoregression (PVAR) model. The following conclusions are derived. First, the results of the PVAR model show that when FD is measured with FD1, FD2, and FD3, each variable has path dependence, and the lag-phase-one term of each variable has a strengthening effect on itself. Second, based on the pulse response diagram, a positive response occurs after FD1 and FD2 give a standardized shock to EC, but a negative response occurs when FD is characterized by FD3. When FD is measured with FD1, a positive response occurs after UR gives a normalized shock to EC. When FD is measured with FD2 and FD3, there is a weak negative response. Third, the results of the variance decomposition show that the changes of FD, UR, and EC rely more on their own inertia. Although the impact of FD and UR on EC has an increasing trend, the impact is small. Therefore, local governments should rationally control the financial scale, optimize the financial structure, improve the financial efficiency, and strengthen the propaganda of energy conservation.
      Citation: Energy & Environment
      PubDate: 2022-08-08T06:55:11Z
      DOI: 10.1177/0958305X221120261
       
  • Unleashing the mechanism between technological and behavioural aspects of
           green supply chain management: An environmental sustainability agenda

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      Authors: Yuanzhi Xiao, Ruiqi Sun, Ke Gao
      Abstract: Energy & Environment, Ahead of Print.
      As a result of emerging climate change trends, businesses and organizations are becoming more concerned about environmental sustainability. In this context, green supply chain management (GSCM) approaches are expanding globally. Based on institutional and sociotechnical systems theory, the conceptual model of this research highlights a mediation of two GSCM types, namely technological and behavioral practices, as well as the moderation of organizational pressure on institutional performance. The hypotheses were evaluated using the structural equation modeling (SEM) method, obtaining data from 563 Chinese firms. This study's categorization of technological and behavioral GSCM practices and results add to the literature on GSCM. The empirical findings indicate that the technological GSCM practices considerably affect behavioral practices. Moreover, GSCM technological and behavioral practices have a substantial effect on institutional performance. GSCM behavioral practices mediate the link between technological GSCM practices and institutional performance. The outcomes also reveal that organizational pressure moderates the association between GSCM technological GSCM practices and institutional performance. These results show that companies in emerging economies should prioritize the behavioral GSCM practices to successfully apply the technological GSCM practices to achieve compelling financial, social, and environmental performance.
      Citation: Energy & Environment
      PubDate: 2022-08-08T06:54:51Z
      DOI: 10.1177/0958305X221116175
       
  • Nexus between energy intensity and capital-output ratio: A holistic
           approach

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      Authors: Sakib Bin Amin, Farhad Taghizadeh-Hesary, Foqoruddin Al Kabir, Farhan Khan
      Abstract: Energy & Environment, Ahead of Print.
      The incremental capital-output ratio indicates the extent of capital efficiency as firms gradually become technically efficient. Therefore, we aim to empirically assess the linkage between energy intensity and incremental capital-output ratio from a holistic point of view, the first of its kind, by analyzing data from select South Asian countries, lower- and middle-income, and high-income countries. We use standard and robust cross-sectional augmented econometric methodologies for the empirical analysis using data from 1990 to 2018. We reveal unidirectional causation from the incremental capital-output ratio to energy intensity in five South Asian countries and 52 high-income countries. However, bidirectional causality is found between the incremental capital-output ratio and energy intensity for the 34 lower- and middle-income countries. The elasticity of the incremental capital-output ratio to energy intensity for South Asian countries is 0.15 in the long-run. By contrast, the same elasticities for lower- and middle-income and high-income countries are 0.11 and 0.003, respectively. The effect of the incremental capital-output ratio on energy intensity is significantly lower in high-income countries than in the other two groups due to technical inefficiency. Our results are expected to guide the policymakers in developing and emerging economies in adopting optimal policies to achieve efficient and sustainable production and consumption.
      Citation: Energy & Environment
      PubDate: 2022-08-08T06:54:41Z
      DOI: 10.1177/0958305X221115489
       
  • Does nuclear energy consumption mitigate carbon emissions in leading
           countries by nuclear power consumption' Evidence from quantile
           causality approach

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      Authors: Bohuang Pan, Tomiwa Sunday Adebayo, Ridwan Lanre Ibrahim, Mamdouh Abdulaziz Saleh Al-Faryan
      Abstract: Energy & Environment, Ahead of Print.
      Nuclear energy has sparked international attention as one of the most important strategies for reducing emissions thanks to its ability to provide low-carbon power. Based on this interesting fact, the current research explores the effect of nuclear energy on CO2 emissions in the leading countries by nuclear power consumption using a quarterly dataset from 1990 to 2019. The study employs the quantile-on-quantile (QQ) estimator, which accounts for both non-parametric and conventional analyses and enhances the provision of unbiased and consistent estimates. In addition, the Granger causality in quantiles approach is adopted to assess the causality in quantiles between the variables of investigation. The outcomes from the QQ estimator reveals that in the majority of the quantiles, nuclear energy contributes to decreased degradation of the environment in the USA, France, Russia, South Korea, Canada, Ukraine, Germany, and Sweden. Contrawise, the feedbacks from Spain and China expose that Nuclear Energy Consumption (NUC) contributes to the deterioration of the environment. Moreover, the outcomes of the causality test disclose that nuclear energy and CO2 emissions can predict each other in the majority of the quantiles. The findings above provide profound ramifications for policymakers planning nuclear energy and CO2-emission policies towards achieving sustainable environment in the sample countries and beyond..
      Citation: Energy & Environment
      PubDate: 2022-08-03T04:11:44Z
      DOI: 10.1177/0958305X221112910
       
  • A comprehensive review of outdoor thermal comfort in urban areas:
           Effective parameters and approaches

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      Authors: Reihaneh Aghamolaei, Mohammad Mehdi Azizi, Behnaz Aminzadeh, James O’Donnell
      Abstract: Energy & Environment, Ahead of Print.
      Increased urban air temperature considerably affects the health, comfort and consequently the quality of life in urban spaces. Urban design and planning studies, therefore, face an increasing challenge as they aim to improve Outdoor Thermal Comfort (OTC) and microclimate conditions of urban environments. Analysing OTC is more challenging when compared to indoor thermal comfort since a wider range of interrelated parameters exists in outdoor environments. Therefore, this research aims to classify urban studies that investigate OTC by conducting a comprehensive review based on key metrics such as approaches taken, methodologies and spatial and temporal scales. By extracting the key findings, this research forms an integrated framework of these metrics that presents a thorough view of the OTC concept in the context of climate-sensitive studies. Furthermore, this research elaborates on the main two groups of parameters affecting OTC including environmental and human-based parameters. Exploring the intricate inter-relationships of these two groups of parameters clarifies their contribution to OTC. Results of this study help architects and urban planners to improve their climate-sensitive strategies and support the decision-making process by providing a comprehensive perspective about different aspects of OTC. Finally, recommendations for future research are outlined.
      Citation: Energy & Environment
      PubDate: 2022-08-02T07:08:42Z
      DOI: 10.1177/0958305X221116176
       
  • Contested renewable energy sites due to landscape and socio-ecological
           barriers: Comparison of wind and solar power installation cases in Japan

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      Authors: Ryo Kohsaka, Satomi Kohyama
      Abstract: Energy & Environment, Ahead of Print.
      There has been an increasing effort to promote renewable energies as climate change mitigation measures in Japan. Yet, the installation of wind turbines and solar photovoltaic (PV) power plants is being contested in several parts of the country. There is a need to understand these oppositions to reduce the number of delayed projects or overcome future barriers. Thus, in this study, we investigated cases of opposition movements and legal proceedings against wind and solar PV power development. Results indicated that landscape elements and socio-ecological factors motivate local oppositions. For instance, there were cases filed due to landscape view obstruction caused by wind turbines and solar panels. In terms of socio-ecological barriers, examples of cases scrutinized showed opposition caused by the potential impact on recreational activities such as climbing and hiking trails. Additionally, we observed that there were differences in the scope and scale of opposition movements and legal proceedings between wind and solar PV power projects. These differences were related to the scale (project size) and duration (construction to operation) of the project coupled with the renewable energy-related legal system changes in Japan. We observed that the overall legislative framework is frequently designed at the national level while challenges in project site selection are dealt with at the municipal- and prefectural-level. The findings of this study can help policymakers to revise and/or develop legal systems that minimize impacts on landscape and social elements while satisfying the demand for renewable energy transitions.
      Citation: Energy & Environment
      PubDate: 2022-07-27T06:03:19Z
      DOI: 10.1177/0958305X221115070
       
  • Numerical simulation of dyeing wastewater treated by a multi-stage reverse
           electrodialysis reactor series system

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      Authors: Qiang Leng, Xi Wu, Shiming Xu, Sixue Wang, Dongxu Jin, Ping Wang, Fujiang Dong, Debing Wu
      Abstract: Energy & Environment, Ahead of Print.
      By developing the mathematical model of a serial multi-stage reverse electrodialysis reactor (REDR) system for wastewater treatment, this paper numerically simulates the degradation process of azo dye (methyl orange) dyeing wastewater. The operation performances of the serial system with an anode and cathode synergetic degradative circulation mode are explored by numerical simulation. The influences of operation parameter variations on key performance indicators are investigated and discussed. Results indicate that the serial system can achieve excellent electricity conversion efficiency and degradative performance under an appropriate output current condition. A high initial MO concentration and electrode rinse solution (ERS) flowrate are helpful to improve the treatment performance of the system. A low concentrated solution (CS) concentration is beneficial for raising the electricity conversion efficiency and reducing the total energy consumption (TEC).
      Citation: Energy & Environment
      PubDate: 2022-07-27T06:03:10Z
      DOI: 10.1177/0958305X221112909
       
  • Stochastic convergence of nitrogen oxides by fuel for OECD countries
           covering 1820–2019

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      Authors: Sakiru Adebola Solarin, Veli Yilanci, Muhammed Sehid Gorus
      Abstract: Energy & Environment, Ahead of Print.
      Addressing the challenges posed by pollutants is necessary to achieve the Sustainable Development Goals (SDGs) target 12 or achieve sustainable production and consumption patterns. Convergence assessment of air pollution provides information which can be beneficial to how to handle that air pollution across different countries. Nitrogen oxides (NOx) are one of the most popular air pollutants. However, the current empirical literature on environmental economics largely ignores the convergence of per capita NOx. For this reason, this study investigates the stochastic convergence of aggregate and fuel-specific per capita NOx emissions in 20 OECD countries. This paper employs a recently introduced panel stationarity test that considers both smooth and sharp structural changes in the data generation process. The panel results show that the convergence hypothesis is rejected only for NOx from light-oil consumption. However, country-specific results reveal substantial evidence for divergence in the sample countries when NOx emissions per capita generated through diesel consumption, light-oil consumption, and natural gas consumption are considered. Besides, we find that most of the series have convergent behaviour for aggregate NOx, NOx from biomass consumption, NOx from hard-coal consumption, NOx from heavy-oil consumption, and NOx from the process. The policy implications of the empirical results for proper environmental management are elucidated in the paper. Actions taken based on the convergence findings will likely lead to a decrease in NOx emissions per capita as the countries will converge towards a lower level of NOx emissions per capita, in line with SDG's target 12.
      Citation: Energy & Environment
      PubDate: 2022-07-26T06:33:33Z
      DOI: 10.1177/0958305X221116182
       
  • Studies on structural, electrical and electrochemical properties of
           biodegradable PVP/starch blend polymer electrolytes with ammonium ceric
           nitrate for energy storage devices

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      Authors: C Nithya Priya, M Muthuvinayagam, S Ramesh, K Ramesh
      Abstract: Energy & Environment, Ahead of Print.
      As a new approach, biodegradable solid polymer blend polymer electrolytes are prepared using a synthetic polymer Poly [vinyl pyrrolidone] (PVP) and a biopolymer Starch with constant amount of Ammonium ceric nitrate. The Biopolymer starch is used to enhance the biodegradability of the polymer membranes. The polymer electrolytes are prepared by solution casting method using deionized water as solvent. The prepared electrolytes are analyzed with structural, vibrational, electrical and electrochemical behavior by using different characterization techniques. The amorphous nature of the blend polymer electrolytes has been confirmed by X-Ray diffraction (XRD) analysis. PVP/cassava starch/ammonium ceric nitrate polymer electrolyte shows high amorphous nature. In FTIR study, polymers-salt complexation and molecular vibrations are observed in the electrolytes. The ionic conductivity and dielectric measurement of the electrolytes are carried out by impedance spectroscopy. The maximum ionic conductivity of 8.1 × 10−6 S/cm is observed at room temperature for 80% PVP: 20% cassava starch: 2% ammonium ceric nitrate (ACN) system. The dielectric properties of the prepared polymer electrolytes are also analyzed. The electrolyte having higher ionic conductivity is tested with cyclic voltammetry (CV) and linear sweep voltammetry (LSV) studies that reveal the electrochemical properties and range of potential window of the polymer electrolyte.
      Citation: Energy & Environment
      PubDate: 2022-07-26T04:07:22Z
      DOI: 10.1177/0958305X221116174
       
  • Energy, exergy, economic, environmental, advanced exergy and
           exergoeconomic (extended exergy) analysis of hybrid wind-solar power plant
           

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      Authors: Hardik K. Jani, Surendra Singh Kachhwaha, Garlapati Nagababu, Alok Das, MA Ehyaei
      Abstract: Energy & Environment, Ahead of Print.
      Aiming to net-zero emissions, hybrid power generation through renewable means has gained substantial attention across the globe. Considering the stochastic nature of renewable energy resources, a comprehensive performance assessment is a must prior to project development. Present work is a novel multidimensional 6E analysis (energy, exergy, economic, environmental, advanced exergy, and exergoeconomic) to evaluate the performance of hybrid wind-solar energy systems. The analysis is performed using long-tern (41 years) high-resolution ERA5 reanalysis resource data and the mathematical modeling by means of MATLAB R2018a computation software. The long-term data facilitates reliable and precise predictions of resource availability, power generation, and system performance during the lifespan of the project. The performance of HWSES in terms of capacity factor and exergy efficiency is computed to be 9.6–35.5% and 4.7–10.4% respectively, whereas the extended exergy efficiency lies in the range of 3.39–5.79%. Hybridizing wind power projects with solar power enhances the overall system capacity factor, exergy efficiency, and extended exergy efficiency by 3.46%, 5.12%, and 2.87% respectively. Hence, the hybridization leads to superior year-round system performance with smaller power fluctuations than the standalone systems. Further, wind, solar and hybrid systems would annually reduce the Specific Emission Reduction of 1128 tone/kW, 1685 tone/kW, and 1407tone/kW respectively. The present research will be helpful to the policy-makers and the project developers in the project feasibility study of hybrid energy systems.
      Citation: Energy & Environment
      PubDate: 2022-07-25T11:35:20Z
      DOI: 10.1177/0958305X221115095
       
  • Optimal sizing and energy management of a stand-alone photovoltaic/pumped
           storage hydropower/battery hybrid system using Genetic Algorithm for
           reducing cost and increasing reliability

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      Authors: Chaima Ghanjati, Slim Tnani
      Abstract: Energy & Environment, Ahead of Print.
      In this paper, a genetic algorithm is applied to optimize the sizing of an autonomous renewable energy multi-source system for reliable and economical supply of energy. The multi-source system is composed of a photovoltaic generator, a pumped storage hydropower system and a battery. The system will power public lighting and operate a garden fountain in the Botanical Garden, located in the Alexandre Aibéo Park in Covilhã (Portugal). Solar irradiance is initially simulated for a reference photovoltaic capacity (25 kWp) over one year by the PVsyst software for the city of Covilhã. Two objective functions are used for sizing optimization: the loss of power supply probability (LPSP) and the levelized cost of energy (LCE). The LCE takes into account the capital cost, the replacement cost and the cost of operation and maintenance. The genetic algorithm is used to determine the best configuration of the different subsystems (photovoltaic generator capacity, upper water reservoir capacity and battery capacity). The originality of this work lies in the combination of two storage elements with different dynamics, the introduction of an adapted energy management strategy (EMS) allowing to manage energy flows between the different subsystems and to control the process of charging/ discharging storage elements, and multi-objective optimization (considering technical and economic criteria) of the sizing of the autonomous photovoltaic/pumped storage hydropower/ battery hybrid system using genetic algorithm.
      Citation: Energy & Environment
      PubDate: 2022-07-25T11:35:06Z
      DOI: 10.1177/0958305X221110529
       
  • Understanding social innovation activities for energy transition: Evidence
           from experiences of social innovation agents in South Korea

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      Authors: Gyuhwan Kim, Taehwa Lee
      Abstract: Energy & Environment, Ahead of Print.
      Even though social innovations activities have been garnering global interest, their implications on energy transition remain unclear. In this study, we aimed to define social innovation activities that can support energy transition. We interviewed 19 social innovation agents, and the grounded theory (GT) method was applied to define the social innovation activities applicable for energy transition through inductive reasoning. Our results revealed that social innovation activities for energy transition could be defined as the entire interaction process between the pragmatic actions of agents and the participation of citizens. Notably, social innovation activities for energy transition could increase citizen participation and help economies to transition from conventional to alternative energy production and use systems. Thus, these activities lead to significant changes in the behaviors and attitudes of citizens, which are the prime factors when incorporating a subsequent structural change. Our study can provide a reliable framework to understand social innovation activities for energy transition and guide both agents and policy practitioners in decision-making, to improve and smoothen energy transition in South Korea.
      Citation: Energy & Environment
      PubDate: 2022-07-22T06:40:53Z
      DOI: 10.1177/0958305X221116180
       
  • Sustainable biodiesel production from Ceiba penandra, Mahua longifolia,
           and Azadirachta indica using CaO-TiO2 nano catalyst

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      Authors: P. Sujin, P. M. Diaz, Ajith J. Kings, L. R. Monisha Miriam
      Abstract: Energy & Environment, Ahead of Print.
      Rapid industrialization and population expansion increased the demand for petroleum-based fuels, resulting in price hike and creates serious environmental issues. Biodiesel, a clean, renewable and long-lasting alternative and for large scale production needs readily available and sustainable feedstocks. Edible and non-edible plants are abundant in Southern India, particularly Ceiba penandra (CP), Mahua longifolia (ML), and Azadirachta indica (AI), which were employed in this study in combination. An efficient heterogeneous nano-catalyst CaO-TiO2 was synthesized and employed in the transesterification process due to its recoverability and insensitivity to FFA. The catalyst was subjected to characterize by FTIR, XRD and SEM with EDX mapping. Response surface approach is engaged in this study for cost-effective production. More than 95% biodiesel yield was achieved for Ceiba penandra oil (CPO), Mahua longifolia oil (MLO), Azadirachta indica oil (AIO) and their mixture (MIO) by optimization of significant reaction parameters and the best combination was obtained as methanol oil ratio (0.32, 0.46, 0.34 and 0.42 v/v), catalyst usage (5, 6.5, 6 and 4 wt.%), mixing intensity (750, 840, 700 and 540 rpm) and duration (80, 105, 85 and 85 min) respectively with constant temperature of 70°C. Fatty acid profile was characterized by chromatograph also established the properties by ASTM and EN guidelines to confirm its compatibility in the IC engine.
      Citation: Energy & Environment
      PubDate: 2022-07-22T06:40:42Z
      DOI: 10.1177/0958305X221115090
       
  • Green innovation and environmental sustainability: Do clean energy
           investment and education matter'

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      Authors: Liang Li, Gang Li, Ilhan Ozturk, Sana Ullah
      Abstract: Energy & Environment, Ahead of Print.
      Rapid modernization and industrialization have significantly intensified carbon emissions and worsened environmental sustainability around the globe. Despite the significant importance of green innovation, clean energy consumption, and education in every aspect of life, the role of all these variables in determining environmental sustainability has not been explored quite extensively in case of China. Under this premise, the present study aims to investigate the role of green innovation, clean energy investment, and education on environmental sustainability in highly polluted Asian economies for the period of 1991–2019 by employing the autoregressive distributed lag (ARDL) model. The findings infer that increase in green innovation reduces CO2 emissions in China, India, and Japan in the long-run. However, an increase in clean energy investment and education tends to decline CO2 emissions in Russia and Japan. The findings confirm that green innovation, clean energy investment, and education improve environmental sustainability in long-run, while short-run estimates are diverse. Thus, governments of highly polluted economies should increase investment in education, clean energy, and technology to mitigate CO2 emissions.
      Citation: Energy & Environment
      PubDate: 2022-07-20T03:54:09Z
      DOI: 10.1177/0958305X221115096
       
  • Dynamic linkages between China’s OFDI, transport, and green economic
           growth: Empirical evidence from the B&R countries

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      Authors: Liguo Zhang, Cuiting Jiang, Xiang Cai, Jun Wu
      Abstract: Energy & Environment, Ahead of Print.
      China’s outward foreign direct investment (OFDI) provides a window of opportunity for the Belt and Road (B&R) countries to solve their transportation challenges and achieve green economic growth. This study examines the causal relationship between China’s OFDI, transport, and green economic growth in 63 B&R countries from 2005 to 2019 using system GMM estimators. The empirical results indicate that there is a multifarious relationship between these factors. China’s OFDI can effectively facilitate the transport infrastructure construction of host countries, which will spur green economic growth. Moreover, the B&R countries with transport and green economic growth gap are more likely to contribute to China’s OFDI “attractiveness.” These conclusions provide a policy basis for the B&R countries to attract China’s OFDI, develop adequate transportation infrastructure, and enhance sustainable green economic growth.
      Citation: Energy & Environment
      PubDate: 2022-07-20T03:53:56Z
      DOI: 10.1177/0958305X221115094
       
  • Assessment of enhanced activity of co-integration pathways for CO2 capture
           and CO2 utilization

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      Authors: R. Maniarsu
      Abstract: Energy & Environment, Ahead of Print.
      Over the past century, the concentration of carbon dioxide (CO2) has significantly increased in our atmosphere, creating numerous catastrophic effects and environmental impacts. There are three main CO2 capture methods: (a) post-combustion, (b) pre-combustion, and (c) oxy-fuel combustion implemented to capture CO2 from significant CO2 emitting sources. Further, the captured CO2 is utilized to convert it into value-added products. The current status of potential combined CO2 capture and CO2 utilization methods provide the solution to the issues of greenhouse-gas CO2 emissions from anthropogenic activities and the ever-growing energy demand challenges. These unique approaches dramatically reduce the overall energy penalty, cost-effective, and have a low environmental impact. As of now, carbon management is more intensively shifting toward the carbon utilization for minimizing energy consumption and replacing fossil fuel with the cleaner energy sources. This paper presents an idea of co-integration pathways for CO2 capture and CO2 utilization.
      Citation: Energy & Environment
      PubDate: 2022-07-18T03:39:12Z
      DOI: 10.1177/0958305X221115092
       
  • Environmental risk of Covid-19 recovery

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      Authors: Mortaza Baky Haskuee, Ali Asgary
      Abstract: Energy & Environment, Ahead of Print.
      During Covid-19 pandemic world economy experienced negative growth rate, therefore energy consumption and consequently emission pollution decreased. According to Environmental Kuznets Curve, it is expected that energy consumption and emission pollution increase in response to Covid-19 economic recovery, even higher than its pre-pandemic level. The goal of this paper is to study the environmental risk of Covid-19 economic recovery. We use an Environmentally-Augmented Global Vector Autoregressive Model (E-GVAR) to trace dynamic effects of Covid-19 economic recovery on pollution emission. Using generalized impulse response functions (GIRFs), we investigated the effect of positive economic shocks in real per capita income in China and USA economies on total [math] equivalent emission pollution. The results show that positive economic recovery affects emission pollution significantly. China and emerging economies may experience high risk while Europe region is moderately affected by this positive shock. A positive Economic Shock in China decrease pollution emission in USA over time. It can be attributed to substitution effect of Chinese product in global market. Generally, our results demonstrate spillover effect of transition shocks from large economies to the rest of world and highlights the importance of linkages in the world economy.
      Citation: Energy & Environment
      PubDate: 2022-07-15T07:11:26Z
      DOI: 10.1177/0958305X221108493
       
  • Novel FTIR and visible infrared imaging assessment of binary biofuel
           stability and abated NOx for clean environment assisting energy approach

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      Authors: Mohamed Nishath Peer, Krishnaveni Anbalagan
      Abstract: Energy & Environment, Ahead of Print.
      To compensate the oil demand and pollution, scientists explore biodiesel as a pollution free alternate energy. But depending on one particular species of feedstock will lead to its extinction like diesel. For this intent, this research proposes a novelty on blending of binary non-edible high oil yielding species. As biodiesel is a natural constituent with elevated oxygen content, a stability analysis has to be performed to diminish its rapid decay. For stabilizing fuel properties synthetic antioxidants have been involved as inhibitors. Previous studies have been performed on the stability analysis individually as oxidation, thermal and storage stability without analyzing them mutually. This research fills the key gap by deeper mutual stability analysis, as the output parameters of these three stabilities are interrelated. Few samples have shown best stability output parameters which challenges in narrowing the best blend. To face this task, a multi objective optimization study has been done. NOx emission has been reduced with the aid of antioxidants as a twin reward. Two novel assessment tools for validating are, i) FTIR, by which the impact of molecular arrangements on stability variation has been evaluated and ii) Using Infrared Imaging Technique, by which the NOX has been analyzed visually correlating the emission level and engine combustion temperature.
      Citation: Energy & Environment
      PubDate: 2022-07-14T08:05:19Z
      DOI: 10.1177/0958305X221112912
       
  • Factors affecting per capita ecological footprint in OECD countries:
           Evidence from machine learning techniques

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      Authors: Muhammed Sehid Gorus, Erdal Tanas Karagol
      Abstract: Energy & Environment, Ahead of Print.
      For a few decades, factors affecting environmental deterioration have been at the center of much interest This paper examines the impact of income level, disaggregated energy consumption, types of globalization level, and urbanization on per capita ecological footprint by utilizing novel machine learning techniques (tree regression, boosting, bagging, and random forest) for 27 OECD countries during 1971–2016. It is found that the random forest algorithms best fit the dataset. The empirical results exhibit that oil product consumption, electricity consumption, and gross domestic product are the most significant variables for our model. Besides, the partial dependence plots results show that economic growth and especially fossil fuel energy consumption damage the environment. These findings have important implications for both developed and developing countries for designing proper energy and environmental policies. Especially, policymakers should focus on sustainable development instead of plain economic growth.
      Citation: Energy & Environment
      PubDate: 2022-07-06T07:14:40Z
      DOI: 10.1177/0958305X221112913
       
  • Causal relationship between globalization, economic growth and CO2
           emissions in Vietnam using Wavelet analysis

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      Authors: Ngo Thai Hung
      Abstract: Energy & Environment, Ahead of Print.
      In connection with environmental degradation in Vietnam, known as an emerging economy, very limited studies have been implemented to demonstrate the environmental aspects of the country's core policies, as well as recent economic policies such as economic growth and globalization policies. Given this driving force, this paper uncovers a novel perspective on the causal associations between CO2 emissions, economic growth, and globalization in Vietnam using wavelet analysis. The empirical results provide evidence of the interconnections between the selected indicators through time and frequency. More accurately, the findings uncover that economic growth and globalization significantly increase carbon dioxide emissions in Vietnam in the medium and long run. These outcomes highlight the importance of policymakers properly coordinating policies to address Vietnam's severe environmental degradation. Furthermore, Vietnam should continue relevant policy reforms such as encouraging investment, allowing for effective governance and promoting human capital accumulation.
      Citation: Energy & Environment
      PubDate: 2022-07-06T06:45:39Z
      DOI: 10.1177/0958305X221108498
       
  • How do renewable energy consumption, financial development, and technical
           efficiency change cause ecological sustainability in European Union
           countries'

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      Authors: Zhang Zhen, Sami Ullah, Zhan Shaowen, Muhammad Irfan
      Abstract: Energy & Environment, Ahead of Print.
      Achieving ecological sustainability is a critical issue of the current era, and researchers are striving to find viable solutions for sustainable development and ecological wellbeing. This study is an effort to examine the ecological consequences of renewable energy (REC), financial development (FD), and technical efficiency (TE) in 27 countries of the European Union (EU), time ranges from 1980 to 2018. We used second-generation econometric techniques to consider the cross-sectional dependency in the model and the CS-ARDL method to estimate the long-run dynamics of the variables. The Westerlund cointegration technique confirmed the long-run association among REC, FD, TE, and ecological footprint (EF). Furthermore, CS-ARDL results revealed a positive influence of FD on EF, indicating FD is a significant contributor to the ecological footprint of the EU. However, REC and TE promote ecological sustainability in the EU, as both factors negatively affect the EF. Furthermore, the interaction of FD and TE is also estimated to mitigate EF in sample countries. The study recommends that government policies in EU countries must be skewed towards promoting renewable energy usage, lending in green and energy-efficient technology, and technological advancement in the production process.
      Citation: Energy & Environment
      PubDate: 2022-06-27T06:48:20Z
      DOI: 10.1177/0958305X221109949
       
  • Creating a decarbonized economy: Decoupling effects and driving factors of
           CO2 emission of 28 industries in China

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      Authors: Gangfei Luo, Tomas Baležentis, Shouzhen Zeng, JiaShun Pan
      Abstract: Energy & Environment, Ahead of Print.
      Identifying the carbon emission characteristics, driving factors, and decoupling status of the industrial subsectors is important for developing effective policy measures. This allows for implementing industrial emission reduction that, eventually, decouple carbon emission and economic growth. Such an analysis is especially important for the case of China on its way towards sustainable development and increasing global interrelationships. However, the literature still lacks comprehensive analysis, especially, at the industry level. This study uses the Logarithmic Mean Divisia Index and decoupling indicator to analyze how different factors contribute to CO2 emissions in 28 industries in China during 2002–2017. The results reveal that the growth of industrial CO2 emissions has been positive but decreasing. The highest CO2 emission change is observed for production and supply of electric and heat power, processing of petroleum, coking, and nuclear fuel, and smelting and pressing of metals. These sectors also show high carbon intensity levels. The economic output (scale) effect and population effect comprise the two major factors promoting the CO2 emission. The energy intensity effect is the key inhibiting factor of the industrial energy-related CO2 emission in China. The suppressive effects of energy and industrial structure have been continuously increasing. The economic growth and CO2 emission has been gradually decoupling in the case of the 28 sectors analyzed. Manufacture of cloths, leather, fur, feather, and related products as well as production and supply of gas exhibit a relatively stable strong decoupling. Based on the decoupling analysis, this study shows that energy intensity has induced the decoupling, whereas the opposite effect has occurred due to economic growth, and the other factors showed little effect on CO2 emission decoupling.
      Citation: Energy & Environment
      PubDate: 2022-06-24T05:20:23Z
      DOI: 10.1177/0958305X221109603
       
  • Ineffectiveness of carbon cap-and-trade market

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      Authors: Yu Yan, Yiming Lei, Yuyang Tang, Xufeng Zhao
      Abstract: Energy & Environment, Ahead of Print.
      Under neoclassical assumptions, this paper develops a model to illustrate the effects of government use of carbon allowances for carbon emission control. We find that control using the instrument of issuing long-term carbon allowances does not produce the same good results in the Decentralised Equilibrium as in the Planning Problem. Thus, while Coase's Theorem ensures that the Pareto optimum is maintained in an economy with multiple agents, it does not align the social development with the economic optimum of the planner. We believe this is due to the that the price of carbon allowances is determined by asset profiles of investors rather than externalities. The steady-state under the special pathway shows that consumption is determined by the rate of technological progress, the total amount of carbon dioxide at steady-state, the level of technology at which steady-state is reached and the total amount of carbon allowances remaining. The comparison with the optimal tax path reveals that the price of carbon allowances has increased too quickly, leading to excessive consumption of fossil fuels in the early stages.
      Citation: Energy & Environment
      PubDate: 2022-06-23T05:50:48Z
      DOI: 10.1177/0958305X221105268
       
  • Can raising trade barriers curb industrial pollution emissions'

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      Authors: Shuhong Wang, Yuqing He, Hanxue Chen
      Abstract: Energy & Environment, Ahead of Print.
      The development of foreign trade and industrial pollution control is an important theme of government governance today. Based on the institutional background of rising international trade protectionism, this study examines the impact of trade barriers on industrial pollution emissions by using different measurement methods and data from 16 industrial sectors in 10 major countries. The results show that lowering trade barriers can significantly reduce industrial pollution emissions, considering the impact of potential endogenous problems. Heterogeneity analysis shows that reducing trade barriers in developed countries can reduce industrial SO2-emission intensity, while the opposite is true in developing countries. Trade barriers have the greatest effect on the pollution-emission intensity of technology-intensive industries, followed by labor-intensive and capital-intensive industries. Mechanism analysis shows that trade barriers affect industrial pollution-emission intensity through both pollution emission and industrial output and that energy-use intensity and biased technological progress are important mechanisms. This study provides a useful reference for governments to promote foreign trade development and ecological and environmental protection.
      Citation: Energy & Environment
      PubDate: 2022-06-22T06:53:12Z
      DOI: 10.1177/0958305X221109606
       
  • Energetic, exergetic analysis and machine learning of methane chlorination
           process for methyl chloride production

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      Authors: Raju Gollangi, K Nagamalleswara Rao
      Abstract: Energy & Environment, Ahead of Print.
      Nowadays, with the growing demand for energy and effective utilization of various available sources with the exorable techniques and approaches to maximize the efficiency of energy systems. This work has developed the synthesis of Methyl chloride (MC) from the methane chlorination process using the ASPEN HYSYS simulation tool. A Searchable analysis has been done on thermodynamic derivatives (likely Energy, Exergy) to probation on the entire process. This analysis calculates all process components’ energy loss, destruction and energy, and exergy efficiencies. A heavier energy loss has been found at Reactor (ERV) with 1785.5 kW and exergy destruction of 18.8% share. Heat Exchanger Network (HEN) has energy loss (960.32kW) & exergy destruction (791.29kW). The proposed new retrofit sustainable model recovered the waste heat from the HEN and achieved energy efficiency of 87.6% and exergy efficiency of 87.3% of the total MC process. Four Machine learning models were developed for the reactor (ERV) process to predict exergy destruction. The artificial Neural network (ANN) gave good testing predictions, followed by the Random Forest (RF) with a determination coefficient (R2) of 0.999957 and 0.999981.
      Citation: Energy & Environment
      PubDate: 2022-06-22T06:52:59Z
      DOI: 10.1177/0958305X221109604
       
  • Photocatalytic membrane of TiO2/CNT decorated PAN nanofibers with enhanced
           performance under LED visible-light irradiation

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      Authors: Lathifah Puji Hastuti, Ahmad Kusumaatmaja, Adi Darmawan, Indriana Kartini
      Abstract: Energy & Environment, Ahead of Print.
      Incorporating TiO2 with CNTs and PAN nanofiber structures results in a photocatalytic membrane composite with an attractive response in the visible region. It offers an efficient process without post-treatment separation at the end of the photocatalytic treatment. The composite membranes were fabricated using electrospinning at 7 kV with 10 cm in the distance between needle tip and collector at a flow rate of 1 mL h−1. Polyacrylonitrile (PAN) was used as the polymer matrix. All the as-spun composites exhibited randomly oriented nanofibers. CNT increased the fiber diameters from 324 to 463 nm. The bandgap of TiO2 also shifted from 3.15 to 2.76 eV at the narrowest The color removal kinetics follow the Langmuir-Hinshelwood pseudo-first-order kinetics model with the highest rate constant of 0.0225 min−1 shown by PAN/TiO2/CNT 20%. More than 95% color removal of methylene blue after 100 min irradiation has been achieved using LED lamps of low energy visible light (43.5 W). Such a result is supposed to be the highest employing low energy lamps.
      Citation: Energy & Environment
      PubDate: 2022-06-21T05:13:33Z
      DOI: 10.1177/0958305X221108494
       
  • Energy from livestock waste: Using circular economy and territorial
           intelligence to build sustainable businesses

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      Authors: Reinalda Blanco Pereira, Rodrigo Salvador, Gabriel Fernandes Sales, Jonatas Santana Obal, Cassiano Moro Piekarski, Antonio Carlos de Francisco
      Abstract: Energy & Environment, Ahead of Print.
      Pig waste can be used to generate energy through biogas and has been gaining importance for being a renewable energy source. The resulting biogas can be used in many forms, such as to produce electricity and supply local networks using microgrids. This helps bring greater stability and energy security to local electricity supply networks. Under this light, this article aims to (i) report on socio-environmental impacts, (ii) present lessons learned (from a circular economy and territorial intelligence perspective), and (iii) point out future business opportunities of value recovery from waste in rural properties. To that end, a case study was carried out in a rural property in Paraná, Brazil. The authors conducted local visits and surveys, and consulted documents provided by the property owners about projects making use of biogas produced from pig waste and used to generate electricity. Different partnerships between the property and public and private bodies enable business opportunities arising from projects that range from the commercialization of carbon credits, decentralized energy generation, to sale of energy to the State's energy provider and establishing Microgrids. From those projects, direct and indirect environmental and social benefits are primarily related to the replacement of non-renewable energy with renewable energy from waste, and impacts avoided from the inadequate handling of pig waste. The results show that it is possible to explore the energy potential of rural properties, based on livestock waste, by developing partnerships with public and private actors, producing energy from biogas, from circular economy and territorial intelligence perspectives.
      Citation: Energy & Environment
      PubDate: 2022-06-20T03:48:20Z
      DOI: 10.1177/0958305X221108495
       
  • Conceptual design and feasibility study of industrial sludge-based
           biosolid fuel production facility

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      Authors: S. Sapmaz, İ. Kılıçaslan
      Abstract: Energy & Environment, Ahead of Print.
      Industrial sludge must be disposed of by incineration or storage methods. It is possible to produce energy by incinerating the sludge after drying. However, some sludges cannot be incinerated due to their low calorific value and/or high pollutant load. In this study, a novel process in which sludges with high calorific value and other sludges are mixed, dried and processed to produce solid fuel without using any additives is described. A technical and economic model of the process was established and feasibility analysis was carried out for different capacities. According to the results of the study, with the increase in capacity, the cost for the unit capacity and the return for the unit capacity increase. Most of the plant's income comes from waste disposal. When the investment is made with equity, the payback period is shorter than 2 years for wet feeding capacities of 1 ton/h and above. The cost of the investment increases more than 2 times when 50% of the investment cost is supplied by a bank loan. In this case, the payback period is also increasing. In order for the profitability of the facility to be sustainable, the composition and amounts of sludge produced in the region should be analysed. In this study, it is assumed that the types and amounts of waste that will come to the facility are capable of filling the facility's capacity and providing the required calorific value standards.
      Citation: Energy & Environment
      PubDate: 2022-06-17T06:00:10Z
      DOI: 10.1177/0958305X221108496
       
  • Research on the impact of financial development in different regions on
           the decoupling of carbon emissions from economic growth

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      Authors: Jiemin Huang, Liyiing Guo
      Abstract: Energy & Environment, Ahead of Print.
      The decoupling of carbon emissions has also become the dependence of countries’ development. Finance plays an important role in decoupling economic development from carbon emissions. This paper explores the impact of financial development in different regions on the decoupling of carbon emissions from economic growth, using the Tapio decoupling elastic model and the method of fully modified least squares (FMOLS) to study the impact of financial development on carbon emissions in six regional panels from 1995 to 2020: and Foreign direct investment (FDI), urbanization, population, and infrastructure as control variables. The results turn out that financial development will promote the decoupling of carbon emissions from economic growth in the ECA region. For EAP, SSA, AC, SA, and MENA regions, financial development will promote the growth of carbon emissions, and due to the different economic development dynamics of different countries, the positive effects of financial development on carbon emissions are heterogeneous. The impact of FDI, urbanization, and infrastructure on carbon emissions varies from region to region. The population will promote the growth of carbon emissions, regardless of the region. In addition, the ECA region is the most countries that has achieved the strong decoupling and is the first to realize the transition from weak decoupling to strong decoupling. Therefore,the ECA, EAP and AC region should accelerate the construction of a green financial system to promote the decoupling of economic growth and carbon emissions. The SSA, SA and MENA region should speed up the transformation of economic development mode and move towards weak decoupling or even strong decoupling.
      Citation: Energy & Environment
      PubDate: 2022-06-15T05:27:38Z
      DOI: 10.1177/0958305X221107341
       
  • Effects of dust on the performance of solar panels – a review update
           from 2015–2020

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      Authors: Raj Kumar Saini, Devender Kumar Saini, Rajeev Gupta, Piush Verma, RP Dwivedi, Ashwani Kumar, Diksha Chauhan, Sushil Kumar
      Abstract: Energy & Environment, Ahead of Print.
      Solar power plays a significant role in the contribution of energy worldwide. The performance of solar panels mainly depends upon geographical and environmental factors. Dust is an important well known ecological factor that significantly impacts the performance of solar panels in achieving the overall target of power production by renewable sources. Study about the performance of solar panels under the influence of dust particles becomes more effective when these are to be worked out in hot and dusty areas. The current goal of this review article is to provide the impact of dust particles on the performance of solar panels. To fulfil this goal, the researcher's contribution is updated in minor for 2015 to 2018 and signed for 2019 and 2020.The current authors of this review article also recommended the adoption of a modern cleaning technique for PV modules, which would save time because it could be operated away from the PV modules.
      Citation: Energy & Environment
      PubDate: 2022-06-15T05:27:24Z
      DOI: 10.1177/0958305X221105267
       
  • The propellant role of the mega-grid in regional economic growth: Evidence
           from China base on the panel smooth transition regression model

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      Authors: Yongpei Wang, Zhongyu Guan, Jia Liang, Qian Zhang
      Abstract: Energy & Environment, Ahead of Print.
      One of the secrets for China's economic growth miracle is continuous investment in infrastructure, and the role of power infrastructure is irreplaceable. However, previous studies mostly focused on generation-side indicators rather than grid-side indicators, ignoring the importance of the mega-grid established in China. As a result, this paper is committed to exploring the economic growth pulling effect of power grids with different voltage levels in the nonlinear framework. On the premise of determining the robustness of estimation parameters by instrumental variable method, the panel smooth transition regression (PSTR) model is used to capture panel heterogeneity. To be exact, the regional economic growth driven by extra-high voltage (EHV) and ultra-high voltage (UHV) power grids presents a regime transition accompanied by the growth of regional power generation and electricity consumption per capita. This means that the mega-grid is more conducive to the economic growth of energy bases and load centers. To further build and improve the state-leveled mega-grid into a nationwide basic platform for trans-regional renewable energy transmission and distribution is a key measure to enhance China's sustainable economic growth under the constraints of carbon peak and carbon neutrality targets.
      Citation: Energy & Environment
      PubDate: 2022-06-13T06:21:19Z
      DOI: 10.1177/0958305X221107339
       
  • Impact and performance efficiency analysis of grid-tied solar photovoltaic
           system based on installation site environmental factors

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      Authors: Saeed Iqbal, Shahid Nawaz Khan, Muhammad Sajid, Jawad Khan, Yasar Ayaz, Adeel Waqas
      Abstract: Energy & Environment, Ahead of Print.
      The performance of solar photovoltaic systems tends to decline if the operating conditions change from the nominal operating cell temperature due to environmental factors. The major factors include temperature and humidity variations, which cause thermal losses and open-circuit voltage drops in photovoltaic panels. This study investigates the correlations between solar photovoltaic performance and environmental factors by quantifying the real-time variables including temperature, humidity, dewpoint temperature, and heat index. Furthermore, the study investigates the difference between real-time measured and theoretically calculated temperature values with the help of weather station data to investigate the impact of temperature difference on the overall percentage power loss of the systems. The panels were installed at three distinct sites (rooftop, parking shed, and ground-mounted) connected to the same grid-tied system. Results reveal that the photovoltaic panel temperature has an inverse relation with the dew temperature and the humidity of the surrounding environment. The heat index value was found slightly less at the peak solar hours during the 24 h cycle of the measurement. The difference and relationship between temperature and humidity are measured and losses are highlighted based on the instantaneous occurrence of variables. Based on a difference between measured and calculated temperature values, results reveal that PV systems faced 27.95%, 5.41%, and 0.82% power losses for ground, roof, and parking installed PV systems, respectively.
      Citation: Energy & Environment
      PubDate: 2022-06-08T07:19:03Z
      DOI: 10.1177/0958305X221106618
       
  • Greening South Asia with Financial Liberalization, Human Capital, and
           Militarization: Evidence from the CS-ARDL Approach

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      Authors: Chien-Chiang Lee, Farzan Yahya, Asif Razzaq
      Abstract: Energy & Environment, Ahead of Print.
      Green growth is recognized as an adequate mechanism to decelerate environmental turmoil. However, empirical evidence on what determines sustainable economic growth is still underexplored. Apprehending the importance of financial liberalization, human capital, and militarization in the South Asian region, we investigate their short- and long-run effects on green growth using data from 1990 to 2017. To address the cross-sectional dependency (CD) and heterogeneity issue, second-generation cointegration estimation techniques are employed. The findings show a stable and long-run relationship between financial liberalization, human capital, military expenditures, and green growth. The results of CS-ARDL also show the positive long-run effect of financial liberalization and human capital while the negative effect of militarization on green growth. Nonetheless, the interaction effects show the darker side of human capital and the brighter side of militarization in the presence of more financial openness. Results were further validated using the Augmented Mean Group (AMG) and Dumitrescu-Hurlin Granger causality test, highlighting the need to optimally utilize military expenditures, financial liberalization, and human capital for the sustainable growth of the region.
      Citation: Energy & Environment
      PubDate: 2022-06-07T05:17:46Z
      DOI: 10.1177/0958305X221105863
       
  • The nexus of disaggregated energy sources and cement production carbon
           emission in China

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      Authors: Andrew Adewale Alola, Festus Victor Bekun, Tomiwa Sunday Adebayo, Gizem Uzuner
      Abstract: Energy & Environment, Ahead of Print.
      Cement production reportedly accounts for the largest global materials flow, thus achieving global environmental sustainability through responsible consumption and production is central to the sustainable development scenario. But even that China, the world's largest carbon emitter and largest cement producer, is under-studied. Thus, the current study employed the nonlinear ARDL and frequency domain causality methods to unearth the contributory or mitigating role of energy sources and economic progress in China's cement carbon emission (CCE) over the period 1971-2020. Overall, the study establishes long-run equilibrium relationship between the study variables of interest Subsequently, the baseline regression suggests that a positive shift in economic growth, energy from fossil fuel and primary energy consumption all increase emissions while a negative shift does not have a significant effect on emissions. Moreover, a positive (negative) shift in renewable energy decreases (increases) emissions in both the short and long-run. The result of the Frequency Domain causality analysis resonates with the results of NARDL regression. As a policy, this study infers energy development and economic-related measures are strategically important in achieving sustainable cement production and consumption.
      Citation: Energy & Environment
      PubDate: 2022-06-02T05:11:13Z
      DOI: 10.1177/0958305X221102047
       
  • Examining the asymmetric link between clean energy intensity and carbon
           dioxide emissions: The significance of quantile-on-quantile method

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      Authors: Farrukh Shahzad, Zeeshan Fareed, Yong Wan, Yihan Wang, Zohaib Zahid, Muhammad Irfan
      Abstract: Energy & Environment, Ahead of Print.
      This study corroborates the asymmetric and heterogeneous associations between clean energy intensity (CEI) and carbon dioxide (CO2) emissions among the world's top ten renewable energy consumer countries using quarterly data from 1970Q1 to 2018Q4. We quantify the complete dependence structure between CEI and CO2 at quantile distributions using a novel quantile-on-quantile (QQ) method proposed by Sim and Zhou (2015). Compared to classic approaches such as quantile regression and ordinary least squares, the QQ technique can provide more information on the overall relationship between CEI and CO2. Furthermore, we also seek to determine causal relationships between CEI and CO2 using a quantile Granger causality approach suggested by Troster. According to our empirical evidence, the link between the two variables is predominantly negative. Moreover, there are significant disparities across countries in the quantile ranges of CEI and CO2. In particular, there is a weak positive link between CEI and CO2 in the case of Sweden, Italy, Japan, and Australia, which may be because CEI has a minimal direct influence on CO2 in these countries. The empirical findings clarify that policymakers should fund renewable energy industries to minimize carbon dioxide (CO2) emissions and achieve Sustainable Development Goals (SDGs).
      Citation: Energy & Environment
      PubDate: 2022-05-30T06:16:51Z
      DOI: 10.1177/0958305X221102049
       
  • Economic instability and pollution emissions in developing countries: A
           panel data investigation

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      Authors: Muhammad Khan, Arslan Tariq Rana, Wafa Ghardallou
      Abstract: Energy & Environment, Ahead of Print.
      Developing economies are characterized by unstable and volatile growth performance. Some recent studies argue that this can potentially undermine their environmental quality. This study tests the impact of macroeconomic instability on pollution emissions for a large panel of developing countries. Thus, we extend the standard environmental Kuznets curve (EKC) framework and include the indicator of economic instability in addition to the other variables, including income, income squared, financial development, FDI, and trade openness. For this purpose, we use the annual dataset of 34 developing countries over the period 1985–2019. The empirical analysis comprises both short-run and long-run relationships among the selected variables, using panel cointegration and the Panel Vector Error Correction Model (P-VECM). The estimated results confirm our hypothesized pollution-enhancing effects of economic instability on the sample economies. Furthermore, we confirm the validity of the EKC hypothesis in the sample economies. These findings suggest that developing economies should ensure economic stability to control their CO2 emissions.
      Citation: Energy & Environment
      PubDate: 2022-05-30T06:16:43Z
      DOI: 10.1177/0958305X221091539
       
  • Carbon emission from the electric power industry in Jiangsu province,
           China: Historical evolution and future prediction

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      Authors: Chenjun Zhang, Teli Ma, Changfeng Shi, Yung-Ho Chiu
      Abstract: Energy & Environment, Ahead of Print.
      This paper takes Jiangsu as an example to measure the carbon emissions from the electric power industry from 2002 to 2017, builds an extended STIRPAT model to quantify its driving factors, and uses the Monte Carlo method to simulate the evolution of carbon emissions in multiple scenarios from 2018 to 2030. The results show that: (1)Population scale, urbanization level, GDP per capita, industrial added value, and electricity consumption intensity promote the increase of carbon emissions in the electric power industry. (2)Trade openness and the transmission level of other provinces play a role in reducing carbon emissions. (3)Under the baseline scenario and the green development scenario, the carbon emissions of the electric power industry have shown a continuous growth trend, but the growth rate of carbon emissions has slowed down significantly under the green development scenario.
      Citation: Energy & Environment
      PubDate: 2022-05-30T06:16:40Z
      DOI: 10.1177/0958305X221087506
       
  • Clean energy in the European Union: Transition or evolution'

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      Authors: Radosław Ślosarski
      Abstract: Energy & Environment, Ahead of Print.
      In this paper, we analyse two phenomena. First, the relationship between greenhouse gases emission and effectiveness of the European Union energy policies and second the transition from the fossil fuels to renewable energy sources. We run two-step data analysis concerning 25 European Union member states in the period from 1990 to 2018. We use information on greenhouse gases emission, introduction of new energy policies, source of energy supplied and merge it with macroeconomic data on the countries’ structural characteristics. We assess their long-run relationship and direction of causality using panel cointegration tests and dynamic panel data models. We identify a statistically significant effect of energy supply source, energy policy introduction and greenhouse gases emission. However, we were not able to confirm that European Union energy sector is in transition. Thus, obtained results confirm that the EU energy policies are effective however not sufficient enough in decreasing use of fossil fuels to call it a transition towards renewables.
      Citation: Energy & Environment
      PubDate: 2022-05-25T06:54:58Z
      DOI: 10.1177/0958305X221100530
       
  • Assessing and prospecting decoupling effect of carbon emissions from
           economic growth: Empirical studies from Chinese provinces

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      Authors: Xinyue Zhang, Xiaopeng Guo, Xingping Zhang
      Abstract: Energy & Environment, Ahead of Print.
      China has proposed ambitious goals of carbon peak and carbon neutrality, and will pay more attention to the relationship between economic development and carbon emissions. It's significant to assess the current environmental decoupling and prospect the future conditions in China. This article studies the decoupling status and influencing factors in Chinese provinces from 1996 to 2018 through Tapio decoupling index and decomposition model. The results show that most provinces are currently in a weak decoupling state. The growth of per capita GDP and population will affect the process of strong decoupling, while the optimization of energy intensity, energy structure and industrial structure will promote the realization of strong decoupling. Moreover, this paper prospects the decoupling scenarios of Chinese provinces from 2019 to 2035 and finds that all provinces will achieve strong decoupling before 2040, 2035 and 2030 under different carbon emissions scenarios respectively. To achieve the strong decoupling of economic output and carbon emissions as soon as possible, the government must improve energy efficiency, use renewable energy in large quantities, and promote the industrial transformation and upgrading.
      Citation: Energy & Environment
      PubDate: 2022-05-24T05:20:04Z
      DOI: 10.1177/0958305X221100534
       
  • The effect of dispersant characteristics on the De-NOx efficiency of SCR
           catalyst

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      Authors: Yoo-Jin Jung, Jin-Sun Cha, Se-Jeong Lim, Jin-Woo Park, Min-Chul Shin, Young-Kwon Park
      Abstract: Energy & Environment, Ahead of Print.
      In this study, we analyzed the effect of dispersant characteristics on the selective catalytic reduction (SCR) catalyst properties and de-NOx efficiency. For this, we measured the zeta potential and pH value of each dispersant, and compared the thermal properties of the dispersant through TG-DTA analysis. Also, the Py-GC/MS analysis results and the MSDS contents of the product were used to compare the components and molecular weight types of the dispersant. As a result, the higher the zeta potential, pH, and molecular weight of the dispersant, the more improved the dispersibility of the TiO2 slurry. Characteristics such as the rheology, sedimentation, and pH change, were studied to compare the dispersibility of the catalyst slurries, and the dispersion characteristics of the TiO2 slurries were confirmed by TEM. The SCR catalysts prepared varied based on the dispersant added, with the varying factor being the de-NOx efficiency between (250 to 450) °C depending on the dispersibility. The dispersant with the excellent dispersibility gave the highest efficiency of 84% or more at 250°C and 300°C, and the highest de-NOx efficiency of more than 92% at 350°C and 400°C.
      Citation: Energy & Environment
      PubDate: 2022-05-23T05:31:00Z
      DOI: 10.1177/0958305X221101152
       
  • Removal of Ni2+ and Zn2+ from groundwater by adsorption onto fishbone and
           hydroxyapatite: Effect of salinity

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      Authors: Ardie Septian, Jiyeon Choi, Won Sik Shin
      Abstract: Energy & Environment, Ahead of Print.
      Ni2+- and Zn2+-contaminated groundwater in the coastal regions is a serious threat to water security in industrial areas. Apatite-like material is an excellent sorbent for heavy metals; however the effect of salinity on the Ni2+ and Zn2+ adsorption onto fishbone and synthesized hydroxyapatite (HAP) has not been investigated. This study investigates the effect of salinity on the single and binary adsorption of Ni2+ and Zn2+ onto apatite-like materials. The experiments were conducted in batch reactor for 24 h at 1:40 solid-to-liquid ratios (wt/wt), 25°C, and pH 5. Freundlich, Langmuir, and Dubinin–Radushkevich models fit well with the single-adsorption data. The adsorption isotherms were nonlinear (NF = 0.350–0.710). The maximum adsorption capacities (qmL) of the Ni2+ and Zn2+ onto HAP were higher than those onto the fishbone, attributed to the higher Brunauer–Emmett–Teller surface area (ABET) and cation exchange capacity. In the binary adsorption, adsorption capacities of the adsorbents were less than those in the single-solute system due to the competition between Ni2+ and Zn2+. Salinity affected the single and binary adsorption by decreasing the adsorption capacities of the adsorbents. In a binary adsorption system, the selectivity of Zn2+ was less than that of Ni2+ for both fishbone and HAP at 0‰ and 30‰ salinity, respectively. Binary adsorption models, such as the Murali–Aylmore (M–A) model, competitive Langmuir model (CLM), P-factor model, and ideal-adsorbed solution theory coupled with the Freundlich (IAST-Freundlich) model were used; of these, the M–A model provided the best prediction for the binary system.
      Citation: Energy & Environment
      PubDate: 2022-05-20T08:36:57Z
      DOI: 10.1177/0958305X221102048
       
  • The impact of foreign direct investment on China's carbon emission
           efficiency through energy intensity and low-carbon city pilot policy

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      Authors: Lianghu Wang, Jun Shao
      Abstract: Energy & Environment, Ahead of Print.
      The rapid growth of foreign direct investment (FDI) has had a significant impact on rapid economic development and environmental pollution in China. Nonetheless, the underlying mechanism and empirical evidence of FDI impact on carbon emission efficiency have not been systematically explored. Therefore, this study investigates the impact of FDI on carbon emission efficiency via energy intensity, as well as the moderating role of the Low-Carbon City Pilot Policy (LCCP) in the process. We found that: (1) During the study sample period, the average carbon emission efficiency tends to rise, however, there remains a gap between the optimal carbon emission efficiency; (2) FDI is one of the key factors that inhibit the improvement of carbon emission efficiency, with a non-linear relationship between them; (3) FDI indirectly suppresses the improvement of carbon emission efficiency by promoting energy intensity. Nevertheless, the implementation of LCCP has a positive effect on carbon emission efficiency; (4) The implementation of LCCP has improved the negative impact of FDI on carbon emission efficiency, nonetheless, it cannot significantly influence the process that FDI affects carbon emission efficiency through energy intensity. Thus, we propose improvement measures from three aspects, i.e., increasing the introduction of foreign capital, adjusting the energy consumption structure, and expanding the scope of low-carbon cities.
      Citation: Energy & Environment
      PubDate: 2022-05-18T04:27:57Z
      DOI: 10.1177/0958305X221100524
       
  • Predicting intention of residential solar installation: The role of
           ecological lifestyle, consumer innovativeness, perceived benefit,
           government incentives, and solar product knowledge

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      Authors: Hsien-Long Huang, Li-Keng Cheng
      Abstract: Energy & Environment, Ahead of Print.
      In this study, we investigated the relationships between personal traits (sustainable lifestyle and consumer innovativeness), psychological and physical benefits (warm glow and government incentive), attitude toward rooftop photovoltaic (PV) system installation, and intention to install a residential PV system. Furthermore, we examined the moderating effect of solar product knowledge on the relationship between attitude and intention to install a residential PV system. Convenience sampling was performed to collect data in this study. An anonymous questionnaire was distributed to participants in the form of an online survey. To prevent priming effects, the research constructs were not presented in the questionnaire, and the questions were not presented in the order of the research constructs. Each questionnaire item was evaluated using a 7-point Likert scale, and 370 valid surveys were received. Confirmatory factor analysis (CFA) was employed to verify the validity of the constructs. The CFA results confirmed that the measurement scales used in this study were appropriate. The conclusions of this study are as follows. First, ecological lifestyle, consumer innovativeness, government incentive, and warm glow affect attitude toward rooftop PV system installation. Second, this attitude influences the intention of rooftop PV system installation, and consumer knowledge moderates the relationship between attitude and intention toward rooftop PV system installation. This study's findings provide a comprehensive theoretical and empirical basis for understanding the antecedents of attitude toward the installation of residential solar energy systems. Thus, the public sector can use the aforementioned findings as a basis for developing a residential solar energy promotion policy, and relevant public and private companies can use these findings as a basis to create attractive marketing strategies for residential solar energy technology.
      Citation: Energy & Environment
      PubDate: 2022-05-16T06:57:28Z
      DOI: 10.1177/0958305X221100525
       
  • Analysis of the impact of natural resource rent, transportation
           infrastructure, innovation and financial development on China's carbon
           emission

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      Authors: Jiemin Huang, Liying Guo
      Abstract: Energy & Environment, Ahead of Print.
      Using panel data from 30 provinces in China from 1995 to 2017, this study explores the impact of natural resource rent, transportation infrastructure, innovation, financial development, green investment and energy investment on carbon emission and its role in achieving the sustainable development goals. In order to obtain long-term and short-term estimates, the auto-regression distribution lag model (ARDL) is used in this study. The results confirm that natural resource rent, transportation infrastructure, innovation, energy investment and carbon emission are significantly positively correlated in long-term and short-term. Financial development and carbon emission are not significant in short term, but in the long term, financial development will contribute to the rise of carbon emissions. Green investment will increase short-run carbon emissions, whereas it really can control carbon emissions, which is different from other studies. This research proposes to improve the level of innovation and reduce carbon emission in other fields through technological innovation, increase green investment and renewable energy investment and combine with financial development to invest more funds in low carbon environmental production industries and to build an environment friendly system.
      Citation: Energy & Environment
      PubDate: 2022-05-11T07:25:27Z
      DOI: 10.1177/0958305X221100526
       
  • The effect of renewable energy consumption on economic growth in KSA: A
           bootstrap causality test

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      Authors: Hakim Berradia, Mehdi Abid, Habib Sakrafi, Zouheyr Gheraia, Hanane Abdelli
      Abstract: Energy & Environment, Ahead of Print.
      The majority of studies analyzed show a positive and statistically significant impact of renewable energy consumption on economic growth. Nevertheless, some studies suggest a limited effect, while others find no statistically significant effect. Faced with this problem, we conducted a study aimed at analyzing the impact of renewable energy consumption on economic growth in the Kingdom of Saudi Arabia for the period 1990–2020. To determine the integration properties of the variables, we utilized the sharp and smooth structural breaks unit root test developed by Shahbaz, Omay and Roubaud (SOR). We also used the bootstrap approach of testing ARDL limits to examine the cointegration between variables. Using the VECM model, we studied the causal relationship between economic growth and its determinants. The results show, in the short and long run, the existence of a bidirectional causality between renewable energy consumption and economic growth (Feedback Hypothesis). Thus, there is a bidirectional relationship between GDP and capital and also between GDP and labor, in the long run. Therefore, an important policy implication resulting from this analysis is that renewable energy can be considered as an important factor for sustainable economic development in Saudi Arabia. The findings for Saudi Arabia may also be relevant for oil exporting countries to achieve efficiency and promote the renewable energy sector beyond oil.
      Citation: Energy & Environment
      PubDate: 2022-05-06T11:11:44Z
      DOI: 10.1177/0958305X221096856
       
  • A study on passivation improvement in n-passivated emitter rear totally
           diffused solar cell using rapid thermal annealing

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      Authors: Virender Sharma, Hrishikesh Dhasmana, Abhishek Verma, Avshish Kumar, C.V. Kannan, Yash Pal, Shivangi Jha, V.K. Jain
      Abstract: Energy & Environment, Ahead of Print.
      An investigation on enhanced surface passivation in the existing industrial process line of large area n-type silicon (Si) Passivated Emitter Rear Totally diffused (n- PERT) solar cell has been performed. The Rapid Thermal Process (RTP) optimization for 20 min is conducted in the temperature range of 500–900°C and device evaluation is carried out with respect to regularly processed n-PERT solar cell. The impact of pre-metallization annealing is studied with the support of cell parameters like shunt resistance, reverse saturation current density determined from current-voltage measurements. The enhanced surface passivation via hydrogenation from silicon nitride (SiNx) layer during annealing is established with the help of external quantum efficiency, spectral response measurements and Fourier transform infrared spectroscopy analysis. The addition of optimized annealing resulted in improvement by 550% (from 38 to 247 µs), 7.73% (from 630.7 to 678.8 mV) and 84.77% (from 223.3 to 34 cm/s) in effective minority carrier lifetime, implied open circuit voltage and surface recombination velocity respectively. Finally, RTP technique for optimized process line has been successfully incorporated in industrial high-volume batch of 140898 CZ n-type Si wafers, which predicts conceptual validation of the study in mass scale production line with an increment in average efficiency of the device by 0.35%.
      Citation: Energy & Environment
      PubDate: 2022-04-27T03:55:47Z
      DOI: 10.1177/0958305X221091541
       
  • Performance enrichment of hybrid photovoltaic thermal collector with
           different nano-fluids

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      Authors: Sourav Diwania, Rajeev Kumar, Maneesh Kumar, Varun Gupta, Theyab R Alsenani
      Abstract: Energy & Environment, Ahead of Print.
      This work manifests the influence of different nanoparticles on the photovoltaic-thermal (PVT) system. The hybrid PVT (hPVT) systems provide thermo-electric energy by utilizing the module heat. The module heat is recovered for controlling the cell temperature using coolant in the channel. This work examines the impact of the type and volume concentration of different nano-fluids on the cell temperature, outlet temperature, thermo-electric efficiency of hPVT collectors. Copper (Cu), titanium dioxide (TiO2), and silicon dioxide (SiO2) dispersed in pure water are considered nano-fluids in this study. The investigation reveals that the outcomes of the PVT collector with copper-water as nano-fluid are superior to the other nano-fluids considered in the study. At 0.012 kg/s mass flow rate (MFR), the thermo-electric efficiency of the hPVT collector is 1.645% and 6.239% higher than the thermo-electric efficiency of the PVT at an MFR of 0.002 kg/s. It is also observed that with a 4% vol. concentration of Cu in the base fluid, the thermo-electric efficiency is considerably better than the efficiency at 2% and base fluid.
      Citation: Energy & Environment
      PubDate: 2022-04-26T06:54:37Z
      DOI: 10.1177/0958305X221093459
       
  • The impact of CuO nanoparticles as fuel additives in biodiesel-blend
           fuelled diesel engine: A review

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      Authors: Sarah Oluwabunmi Bitire, Emeka Charles Nwanna, Tien-Chien Jen
      Abstract: Energy & Environment, Ahead of Print.
      The utilization of fossil fuels like diesel has contributed immensely to ecological challenges such as the emission of greenhouse gasses. Hence, the motivation for sourcing another energy that is renewable as well as easily accessible from relatively cheap materials. Biodiesel is a perfect replacement for petro-diesel because it is biodegradable, economically viable, and has lower toxicity. However, there are challenges associated (poor engine efficiency) with its utilization in engines. It also raises NOx emissions which necessitates frequent engine component replacement owing to clogging, and it is ineffective in cold weather. To boost efficiency, nanoparticles can be combined with biodiesel blends. Moreover, the utilization of nanoparticle additives improves the performance of engines, rate of heat transfer, fuel mixture balance, thermo-physical characteristics, as well as the reduction in exhaust emissions. Copper oxide which is a transition metal oxide aids in the heat transfer from the engine down to the exhaust thus lowering the emissions of NOx. As a result, CuO nanoparticles are thought to have a lot of potential as a diesel engine additive and therefore, this review study was conducted to deduce the various techniques for generating CuO nano-fuels, the preparation methods, as well as their physicochemical features. Furthermore, the combustion behaviour, performance, and emission characteristics of diesel engines powered by CuO nanoparticle-containing biodiesel and blends were carefully investigated.
      Citation: Energy & Environment
      PubDate: 2022-04-22T06:17:29Z
      DOI: 10.1177/0958305X221089217
       
  • Clean energy, emission trading policy, and CO2 emissions: Evidence from
           China

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      Authors: Fei Yang, Chunchen Wang
      Abstract: Energy & Environment, Ahead of Print.
      This paper constructs a unique dataset of clean energy and adopts static panel models and dynamic panel specifications to explore the correlation between clean energy and CO2 emissions. Furthermore, this paper employs the interaction term of pilot areas and pilot time as the proxy of emission trading policy to examine the effect of China’s emission trading pilot on clean energy. Then, this paper conducts quasi-natural experiments on CO2 emissions. Our findings show a negative correlation between CO2 emissions and clean energy. We also find that China’s emission trading pilot has a significant impact on promoting clean energy. In addition, empirical results affirm that emission trading market pilots can help decrease CO2 emissions. Finally, we put forwards relevant policy recommendations.
      Citation: Energy & Environment
      PubDate: 2022-04-21T04:52:12Z
      DOI: 10.1177/0958305X221094581
       
  • Biomass-based activated carbon for CO2 adsorption–A review

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      Authors: R. Maniarasu, Sushil Kumar Rathore, S. Murugan
      Abstract: Energy & Environment, Ahead of Print.
      Biomass can be converted into energy, fuels, and value-added products by adopting proper conversion or production methods. For many years, biomass has been considered to be a good candidate for producing biochar or activated carbon. The awareness created on mitigation of carbon dioxide (CO2), which is the major cause of global warming, necessitated developing potential methods and materials for curbing CO2 originating from various sources. Adsorption is the most viable option to mitigate CO2 by using activated carbon which can be derived from various biomass sources. In recent years, activated carbon has been produced from different biomass substances by varying carbonization and activation duration, carbonization and activation temperature, impregnation ratio, and the concentration of the activating agent to improve its surface area and porosity. This review article provides a comprehensive review on utilization, production and characterization of biomass-based activated carbon for CO2 adsorption. Initially, the article discusses the review of research works carried out on utilization of biomass-based activated carbon for CO2 adsorption. Furthermore, the article presents the research works carried out on surface textural characteristics, physicochemical properties, and maximum adsorption capacity of activated carbon obtained from different biomass substances. Finally, the article presents the research works carried out related to the biomass-based activated carbon and the parameters significantly enhancing the CO2 adsorption performance.
      Citation: Energy & Environment
      PubDate: 2022-04-21T04:51:48Z
      DOI: 10.1177/0958305X221093465
       
  • Testing the role of economic complexity on the ecological footprint in
           China: a nonparametric causality-in-quantiles approach

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      Authors: Seyi Saint Akadiri, Tomiwa Sunday Adebayo, Obioma Chinenyenwa Asuzu, Ijeoma Christina Onuogu, Izuchukwu Oji-Okoro
      Abstract: Energy & Environment, Ahead of Print.
      China is known for its large industrial sector and diversified energy mix, which could contribute to environmental pollution, as fossil fuels remain China's main source of energy. With the recent drive by the Chinese government to achieve low carbon emissions and further reduce greenhouse gases, this study adds to the existing literature by combining the quantile-on-quantile (QQ) regression and non-parametric techniques to examine the role of economic complexity, nonrenewables energy and renewable energy consumption on the ecological footprint in China over the period 1985Q1–2019Q4. Overall, results show that renewable energy, non-renewable energy use, economic growth and economic complexity affects ecological footprint positively. In addition, the nonparametric causality outcomes revealed that renewable energy, non-renewable energy use, economic growth and economic complexity can significantly predict variations in ecological footprint at different quantiles. We are of the opinion that policymakers in this region should work on the pro-growth mentality of China, which is majorly fossil fuel-driven. This requires an immediate replacement with more eco-friendly sources and energy-saving technologies for economic activities. Otherwise, fulfilling the SDG 13 goals in China will be challenging. For a sustainable renewable energy investment, China should shift to ancillary and spot markets, where the low energy storage and low marginal cost of renewable energy could facilitate higher reduction in electricity cost and encourage higher trading of electricity.
      Citation: Energy & Environment
      PubDate: 2022-04-19T05:59:01Z
      DOI: 10.1177/0958305X221094573
       
  • Predictive analysis of the industrial water-waste-energy system using an
           optimised grey approach: A case study in China

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      Authors: Wen-Ze Wu, Chong Liu, Wanli Xie, Mark Goh, Tao Zhang
      Abstract: Energy & Environment, Ahead of Print.
      To estimate the dynamic trend of industrial water-waste-energy (hereinafter referred to as WWE) system, this paper proposes a new method for forecasting specific indicators in such a system. First, the fractional accumulated generation operator, fractional derivative and classic nonlinear grey Bernoulli model are simultaneously coupled to develop an optimised nonlinear grey Bernoulli model that identifies the nonlinear trends in industrial WWE systems. Second, the particle swarm optimization algorithm is employed to determine the optimal model parameters in the newly-designed model. Based on this, simulation studies are conducted to examine the stability of the proposed model. Finally, the model is applied in the industrial WWE system. The results demonstrate that (1) the proposed model outperforms other competitive models in terms of error-value metrics and (2) industrial water use and industrial energy consumption will increase, whereas industrial wastewater discharge will decline. Furthermore, the rationality of the predicted results redis analyzed from a policy perspective.
      Citation: Energy & Environment
      PubDate: 2022-04-18T09:10:58Z
      DOI: 10.1177/0958305X221094666
       
  • ICT, carbon emissions, climate change, and energy demand nexus: The
           potential benefit of digitalization in Taiwan

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      Authors: Rishan Adha, Cheng-Yih Hong, Somya Agrawal, Li-Hua Li
      Abstract: Energy & Environment, Ahead of Print.
      The global rise in energy consumption makes managing energy demands a priority. Here, the potential of Information and Communication Technology (ICT) in controlling energy consumption is still debated. Within this context, the main objective of the current study is to measure the impact of ICT, its potential benefit, and environmental factors on household electricity demand in Taiwan. A panel of data from 20 cities in Taiwan was collected during the period 2004–2018. We adopted PMG estimation and applied the DH-causality test for analysis. The estimation results show that ICT, carbon emissions, and climate change will drive household electricity demand in Taiwan in the long term. However, ICT has a higher potential to reduce electricity demand in the short-term period. In addition, the results of the causality test reveal a two-way interrelationship between ICT and electricity demand. Our study also found that climate change indirectly affects the use of electricity through household appliances. We also presented several policy implications at the end of this paper.
      Citation: Energy & Environment
      PubDate: 2022-04-13T07:03:29Z
      DOI: 10.1177/0958305X221093458
       
  • Creating portfolios of firm-specific energy R&D investment under
           market uncertainty

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      Authors: Young Gwan Lee, Kihyun Park, Hyun Jae Kim, Seong-Hoon Cho
      Abstract: Energy & Environment, Ahead of Print.
      This research determines the optimal distribution of firm-specific energy research and development (R&D) investment that balances firms’ return and risk under market-induced uncertainty. We focus on creating optimal portfolios of target firms and their optimal energy R&D investments that maximize their return on investments (ROIs) for given levels of risk. We employ a stochastic optimization framework that maximizes firms’ ROIs for energy R&D investment, measured by the ratio of the number of patents issued for energy technologies to the amount of annual energy R&D expenditures, for 78 energy firms in South Korea between 2006 and 2017. The findings from our mean-standard deviation tradeoff frontiers are summarized as follows: 1) the tradeoff ratio increases as the weights shift from 100% on maximizing expected ROI toward 100% on minimizing its standard deviation regardless of market conditions and 2) the tradeoff ratio during the downturn is higher than during the upturn. These findings suggest that firms mitigate market-induced risk with a smaller sacrifice in the expected number of issued patents when the initial weight is primarily on maximizing expected ROIs and when the market is experiencing an upturn instead of a downturn. From the distribution patterns of prioritized firms for the two extreme risk preference points along the upturn and downturn tradeoff frontiers, we find that the target firms shift under different market conditions and risk assumptions. These priority shifts highlight the importance of decision-maker flexibility in structuring firms’ portfolios to support energy R&D, depending on the governments’ risk tolerances and market conditions.
      Citation: Energy & Environment
      PubDate: 2022-04-11T03:08:02Z
      DOI: 10.1177/0958305X221092401
       
  • Environmental sustainability in Asian countries: Understanding the
           criticality of economic growth, industrialization, tourism import, and
           energy use

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      Authors: Daberechi Chikezie Ekwueme, Taiwo Temitope Lasisi, Kayode Kolawole Eluwole
      Abstract: Energy & Environment, Ahead of Print.
      This paper examines the causation between economic growth, tourism import, industrialization, renewable energy, non-renewable energy use, trade openness, and environmental sustainability which is proxied by carbon emissions for 8 Asian countries (China, Japan, India, Indonesia, South Korea, Philippines, Thailand, and Vietnam) over 20 years. Causal relations were tested using Pooled Mean Group Autoregressive distributive lag model (PMG-ARDL) and Dumitrescu and Hurlin's (2012) panel granger causality test The PMG-ARDL model results reveal that in the long-run renewable energy usage, economic growth, and trade have a significant negative influence on the emission of carbon, while non-renewable energy usage, tourism import, and industrialization exhibit a significant positive impact on CO2 emissions of the sampled Asian countries. In the short run, renewable energy has a significant negative influence on CO2 emissions. While economic growth exhibit a significant positive influence on carbon emissions in the short-run. Furthermore, the Granger causality analysis reveals that there is a feedback mechanism between industrialization, tourism import, non-renewable energy, renewable energy, and CO2 emissions meaning that the future dynamics of carbon emissions in the sampled countries can be significantly explained by industrialization, tourism import, renewable energy, and non-renewable energy. Contrarily, trade and economic growth are good to explain the dynamics of carbon effusion of the sampled Asian countries in the future but without feedback. It is recommended that policymakers in Asian countries should formulate stringent environmental policies that will encourage industries in these countries to utilize clean energy sources so that economic growth will be achieved simultaneously with carbon neutrality.
      Citation: Energy & Environment
      PubDate: 2022-04-11T02:05:54Z
      DOI: 10.1177/0958305X221091543
       
  • A new look at asymmetric effect of oil price changes on inflation:
           Evidence from Malaysia

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      Authors: Siok Kun Sek
      Abstract: Energy & Environment, Ahead of Print.
      The existing literature that examined the effect of oil price on domestic price inflation only focused on consumer price at an aggregate level. The studies that focused on producer and production levels, and based on disaggregated data are very lack. Besides, previous studies also mainly applied the linear regression approach in studying the effect of oil price. This study seeks to explore the mentioned issues by focusing on sectoral consumer (CPI), industrial (IPI), and producer (PPI) prices of Malaysia. The Markov-switching (MS) regression technique is applied. The models are innovated by incorporating the asymmetric effects of oil price changes. The results reveal different reactions of sectoral domestic price inflation to oil price changes. The oil price has asymmetric effects on domestic price inflation with higher impacts on industrial and producer prices than the consumer price. The effect is larger in sectors that have higher linkages with oil/ energy resources. These sectors are oil-intensive and are sensitive to oil price changes. Among these sectors are the CPI transportation sector, IPI manufacturing, and electrical sectors as well as PPI fuel, chemicals, and manufacturing sectors. However, oil is not the main factor causes to domestic inflation. The main determinants of inflation are real exchange rate, aggregate supply, and demand. Besides, the policy decisions are also influential on price stability. The sectors of CPI transportation, PPI animals & vegetable oils, and PPI fuel have a high tendency to increase prices and should be well-monitored.
      Citation: Energy & Environment
      PubDate: 2022-04-08T05:46:05Z
      DOI: 10.1177/0958305X221077336
       
  • Fracture energy of fiber-reinforced and rubberized cement-based
           

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      Authors: S. Asad Ali Gillani, Muhammad Rizwan Riaz, Rashid Hameed, Adnan Qamar, Ahmed Toumi, Anaclet Turatsinze
      Abstract: Energy & Environment, Ahead of Print.
      Using crumb rubber particles obtained from end-of-life tires as aggregate in concrete can reduce the environmental overburden caused by the huge accumulation of these scrap tires. However, reduction in the mechanical properties of concrete is observed with the incorporation of rubber aggregates. To counter this detrimental effect of crumb rubber in concrete, amorphous metallic fibers are added to balance the loss in strength and durability issues. Mechanical characteristics along with the fracture energy of rubberized fiber-reinforced mortar are presented here. Four mortar mix compositions were investigated; the first one is reference mortar (control mortar), the second mix containing 30 kg/m3 of metallic fibers, the third mix containing 30% of rubber aggregates as replacement of sand by equivalent volume and fourth containing both rubber aggregates and metallic fibers with the dosage 30% and 30 kg/m3, respectively. Compression tests, modulus of elasticity and direct tension tests were conducted for mechanical characterization. Deformation capacity, residual post-cracking strength and fracture energy of these composite mortar mixes were evaluated through uniaxial direct tension tests. The fracture energy was determined from the obtained complete softening curves. Test results show a reduction in mechanical properties with the incorporation of crumb rubber as aggregates in mortar. However, a significant increase in fracture energy was observed in rubberized fiber-reinforced mortar mixes. Moreover, the mortar mixes containing both rubber aggregates and metallic fibers show positive synergetic effect resulting in enhanced post-cracking residual tensile strength, strain capacity and energy dissipation capacity.
      Citation: Energy & Environment
      PubDate: 2022-03-28T06:49:21Z
      DOI: 10.1177/0958305X221089223
       
  • Experimental Study of Increase of Biogas Production from Lagoon Station's
           Sludge by Alkaline Pretreatment

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      Authors: Mohamed El Amine Dahou, Mohamed Hadj Kouider, Siham Dehmani, Abdelmadjid Habchi, Said Slimani
      Abstract: Energy & Environment, Ahead of Print.
      The present research focuses on the experimental study of the effect of alkaline pretreatment with NaOH on biogas production. Different concentrations of NaOH, i.e. 1, 2.5 and 5% (w/w), were tested on the lagoon station's sludge (dry basis) at room temperature for 24 h. The results obtained after 60 days of digestion, through the cumulative volume of biogas recorded, clearly indicate a positive effect of the chemical alkaline pretreatment on the anaerobic digestion since the amount of biogas produced increased by 42.6% when the NaOH concentration was close to 2.5%. This concentration is considered optimal under the chosen conditions. Indeed, inhibition of the methanogenic activity and a blockage of the digestion process are observed beyond this concentration. These results suggest that the alkaline pretreatment can improve the energy efficiency of the obtained biogas (CH4 content) and reduce the residence time.
      Citation: Energy & Environment
      PubDate: 2022-03-23T07:10:54Z
      DOI: 10.1177/0958305X221088569
       
  • Chemical reaction and thermal characteristiecs of Maxwell nanofluid
           flow-through solar collector as a potential solar energy cooling
           application: A modified Buongiorno's model

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      Authors: Syed M. Hussain, Wasim Jamshed, Rabia Safdar, Faisal Shahzad, Nor Ain Azeany Mohd Nasir, Ikram Ullah
      Abstract: Energy & Environment, Ahead of Print.
      Solar collectors absorb solar radiation at the focus of solar concentrating systems as heat energy which is further transferred to nanofluid. Entropy creation in Maxwell nanofluid flow over an infinite horizontal surface of a porous media is the subject of the current investigation. A non-linear stretching surface then induces a parabolic trough solar collector (PTSC) flow. The thermal boundary layer is studied using a modified version of Buongiorno's Model. As a result, the PDEs, which encompass the physical aspects of the issue, must be transformed into solvable and boundary-constrained ODEs. By using a proper similarity transformation, boundary conditions and partial differential expressions are reduced to a set of non-linear ordinary differential equations. The Keller box method is used to find approximate solutions to ODEs. Tests are carried out on a nanofluid known as Copper-engine oil (Cu-EO). The Nusselt number was lowered, but the skin friction coefficient was increased as a result of a substantial magnetic parameter. In addition, Reynolds number and Brinkman number are used to measure fluctuations in viscosity, and, as a result, entropy variations throughout the domain are increased. Temperature decreased due to chemical reaction and Schmidt number, while thermal radiation increased skin friction and Nusselt. According to the current analysis, the heat collector has enhanced PTSC with Maxwell nanofluid.
      Citation: Energy & Environment
      PubDate: 2022-03-21T08:09:02Z
      DOI: 10.1177/0958305X221088113
       
  • Evidence from the nonlinear autoregressive distributed lag model on the
           asymmetric influence of the first wave of the COVID-19 pandemic on energy
           markets

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      Authors: Daniel Stefan Armeanu, Stefan Cristian Gherghina, Jean Vasile Andrei, Camelia Catalina Joldes
      Abstract: Energy & Environment, Ahead of Print.
      The COVID-19 pandemic remained a global risk factor and integrated into various means in the functioning of companies, economies and financial markets. Therefore, this paper investigates how COVID-19 influences the energy market in the main financial markets (China, France, Germany, Italy, Spain and the United States), using time series from February 28, 2020, to November 3, 2020. The goal of this research is to investigate the asymmetric impact of COVID-19 from leading financial markets on energy commodities. In this regard, the non-linear auto-regressive distributed lag (NARDL) framework is employed to capture the long-run asymmetric reactions. The econometric design allows to explore the long-term asymmetric reactions of dependent variables through positive and negative partial sum decompositions of changes in the explanatory variables. The quantitative results show a significant long-run asymmetric interdependence between the number of new SARS-CoV-2 incidence and mortality and the daily percent change in close price of future contracts pertaining to Brent oil, crude oil WTI, carbon emissions, gasoline RBOB, heating oil, Chukyo kerosene, and natural gas. Furthermore, no asymmetry is found in the case of ethanol and fuel oil futures. The novelty of this article is the study of the impact of COVID-19 on the energy sector during the first two waves of COVID-19 by applying the NARDL model that allows to capture long-term asymmetric reactions. Certainly, further research on this topic is necessary due to the permanent shifts in the pandemic, as well as the availability of longer data periods on COVID-19.
      Citation: Energy & Environment
      PubDate: 2022-03-21T08:08:41Z
      DOI: 10.1177/0958305X221087502
       
  • Sterling insights into natural resources intensification, ageing
           population and globalization on environmental status in Mediterranean
           countries

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      Authors: Bright Akwasi Gyamfi, Tomiwa Sunday Adebayo, Festus Victor Bekun, Mary Oluwatoyin Agboola
      Abstract: Energy & Environment, Ahead of Print.
      Along with the increasing aging population (AP) and global interconnectedness in the Mediterranean bloc comes climate change issues faced by the Mediterranean region in its trajectory to energy security and sustainable development. To meet the continuous energy consumption demand while cutting down natural resources extraction and exploitation with a view to minimizing environmental impacts, the policy structure in these countries may require readjustment, which is the motivation for the present study. This study advances a strategic framework for investigating the impact of natural resources rent as well as aging reliance on carbon emissions in the Mediterranean region for the annual frequency data from 1990–2016. Using quantile regression to analyze the highlighted variables, empirical results shows that both income and natural resources rent have an inverted U-Shaped connection with CO2 emission, which affirms the Environmental Kuznets Curve (EKC) hypothesis. Subsequently, globalization and energy use show a positive relationship with emissions while AP is negatively correlated with emissions. Depending on the outcomes of this analysis, a multi-stage Sustainable Development Goal (SDG) framework has been developed and SDG- 7, SDG -13 as well as SDG-8 were examined in this context. While these three SDGs are the main targets of the study, the SDG System has also provided a way to test other SDGs.
      Citation: Energy & Environment
      PubDate: 2022-03-21T08:08:11Z
      DOI: 10.1177/0958305X221083240
       
  • Impact of technological progress on carbon emissions in different country
           income groups

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      Authors: Chris Belmert Milindi, Roula Inglesi-Lotz
      Abstract: Energy & Environment, Ahead of Print.
      This study examines the complex relationship between carbon emissions and technological progress in a sample of 60 countries divided into four income groups for the period 1989–2018. For robustness purposes and due to the broad definition of technology, we use six different proxies to represent technology: Information and telecommunication technology (ICT), patents, public R&D expenditure, Total factor of productivity (TFP), science and technology publications. After applying the fixed-effect method with Driscoll and Kraay standard errors, ICT variables appear to be good instruments for carbon reduction in the full sample. However, R&D expenditure and patents do not significantly impact carbon emissions. TFP increases carbon emissions, while science and technology publications are negatively related to carbon emissions. The analysis shows mixed results for the various country income groups and all indicators.
      Citation: Energy & Environment
      PubDate: 2022-03-16T04:50:51Z
      DOI: 10.1177/0958305X221087507
       
  • Sustainable portfolio re-equilibrium on wind-solar-hydro system: An
           integrated optimization with combined meta-heuristic

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      Authors: Lu Gan, Dirong Xu, Xiuyun Chen, Pengyan Jiang, Benjamin Lev, Zongmin Li
      Abstract: Energy & Environment, Ahead of Print.
      Due to the intermittency of renewable energies, their acceptances in electricity market are lower than fossil energies. Therefore, it is necessary to overcome the development resistance through portfolio re-equilibrium. Balance supply and demand in markets involving different stakeholders to optimize return on investment. Compared with the past, this paper proposes an integrated optimization with combined meta-heuristic for wind-solar-hydro system. It investigates to coordinate the interactions of power stations and power grid with their internal conflicts respectively. Specifically, the investment profit, the investment volume and the investment risk are considered as the optimized objectives for wind-solar-hydro system. However, power grid takes operation efficiency, surplus electricity and carbon emissions into account to be the optimal objectives. They are composed to establish a bi-level programming model. Moreover, an improved particle swarm optimization is utilized to deal with the problem-orientated model with NP-hard complexity. Finally, to verify the feasibility of the proposed model, a case of wind-solar-hydro system from Panzhihua located in southwest China is conducted. The results showed that portfolio re-equilibrium strategies had the potential to push forward sustainable development. Secondly, generating capacity was positively affected by the initial investment volume. However, the investment profit did not absolutely rise with the grow of investment risk. Thirdly, profit-oriented strategies were conducive to carbon emissions reduction. But risk-oriented strategies can reduce surplus electricity and increase the stability of electricity purchase schemes.
      Citation: Energy & Environment
      PubDate: 2022-03-16T03:03:26Z
      DOI: 10.1177/0958305X221083253
       
  • Economic growth, environmental regulations, energy use, and ecological
           footprint linkage in the Next-11 countries: Implications for environmental
           sustainability

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      Authors: Perekunah B. Eregha, Solomon P. Nathaniel, Xuan Vinh Vo
      Abstract: Energy & Environment, Ahead of Print.
      The activities of humans on Earth have increased the global concern for climate change, ecological distortions, and environmental deterioration. These concerns have warranted regulations that relate to environmental preservation and sustainability. However, the efficiency of such regulations in emerging economies is yet to be ascertained as conclusions from various findings still remain murky. We explore how environmental regulations affects ecological footprint (EFP) using the cross-sectionally augmented autoregressive distributed lag (CS-ARDL) model, augmented mean group (AMG), and the common correlated effects mean group estimators (CCEMG) in the eleven fastest emerging economies (N11). The findings reveal that environmental regulations are not efficient in abating environmental deterioration. Economic growth, trade, and energy consumption invigorate the EFP. The country-specific findings confirm that energy consumption and economic growth promote environmental degradation in all the N11 countries, and the outcome was consistent across all estimators. Finally, policy directions are discussed along with the limitations of the study.
      Citation: Energy & Environment
      PubDate: 2022-03-11T02:11:21Z
      DOI: 10.1177/0958305X221084293
       
  • Renewable energy taxes and environmental impacts: A critical reflection
           from the wind tax in Spain

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      Authors: Rosa Mª Regueiro-Ferreira, María Cadaval Sampedro
      Abstract: Energy & Environment, Ahead of Print.
      In recent decades, wind energy has undergone significant progress, with the contribution of countries such as China, the United States, Germany and Spain standing out, although there is no single comprehensive model for promoting renewable energy worldwide. In Spain, the regions of Galicia, Castilla-La Mancha and Andalusia have led this process, with significant changes in their contribution depending on the economic situation and the varied legislative framework in force at any given time. Although wind energy is less harmful to the environment, it is not harmless, and environmental impact and its penalisation is one of the key elements in the applicable regulations. In the case of Spain, the three regions mentioned above, out of a total of seventeen, apply their own taxes to tax the environmental impact of wind energy. The aim of this paper is to describe and compare the wind tax applied in the aforementioned regions from 1995 to 2020; to characterise wind taxation socio-economically, and to assess the suitability of this type of taxation to tax the environmental impacts associated with wind energy activity in Spain. The differences in tax treatment are notable and it is observed that the concept of environmental impact has been anchored in the past and, today, older wind farms with less powerful wind turbines are those that bear a greater tax burden, while more modern, more powerful and larger wind farms (with a significant environmental, acoustic and visual impact) may even be exempt from taxation.
      Citation: Energy & Environment
      PubDate: 2022-03-10T10:22:30Z
      DOI: 10.1177/0958305X221083249
       
  • Interaction among geopolitical risk, trade openness, economic growth,
           carbon emissions and Its implication on climate change in india

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      Authors: Tomiwa Sunday Adebayo, Seyi Saint Akadiri, Joshua Sunday Riti, Ada Tony Odu
      Abstract: Energy & Environment, Ahead of Print.
      In this paper, we examine whether geopolitical risk influences environmental degradation, while controlling for non-renewable energy consumption, economic growth and trade openness, using a quarterly dataset from 1985Q1 to 2019Q4. The choice of India as a case study is based on a number of reasons. India is a developing country, which produces approximately 3.2% of global GDP. Also, India produces almost 17.7% of the world population. The country also emits about 6.8% of global carbon emissions, and according to the 2020 report of the consulting firm Eurasia, India is ranked fifth in terms of geopolitical risk. This study adds to the existing literature by using the quantile-on-quantile (QQR) regression to examine the effect of geopolitical risk on environmental degradation, as well as highlighting the implications of geopolitical risk on environmental sustainability. Based on empirical estimation, we find that geopolitical risk increases and decreases carbon emissions in India. That is, geopolitical risk increases environmental degradation at middle quantiles and decreases environmental degradation at lower and higher quantiles. In addition, we find that non-renewable energy consumption, economic growth and trade openness impede environmental quality in India. Thus, we are of the opinion that policymakers, when making policy decisions on environmental quality, should factor in geopolitical risk in two areas, mitigation and channel of escalation, among other policy suggestions.
      Citation: Energy & Environment
      PubDate: 2022-03-08T10:46:05Z
      DOI: 10.1177/0958305X221083236
       
  • The effects of MDR-TB Treatment Regimens through Socioeconomic and Spatial
           characteristics on Environmental-Health Outcomes: Evidence from Chinese
           Hospitals

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      Authors: Yadong Liu, Daquan Cao, Xinghua Cao, Vipin Jain, Chanchal Chawla, Malik Shahzad Shabbir, Carlos Samuel Ramos-Meza
      Abstract: Energy & Environment, Ahead of Print.
      This study examines socioeconomic and spatial factors and its influences on the outcomes of environmental-health through “multi-drug resistance tuberculosis” (MDR-TB) treatment regimes in China. For this purpose, a survival analysis is conducted by applying “multivariable Cox Proportional Hazard model” on secondary data starts from 2010 to 2019. The data set is consisting of six hundred and fifty five (655) TB patients from different hospitals of China. The findings of this study indicate us that there is no alteration in patient survival rates between the two treatment departments, hospital and ambulatory care. The spatial characteristics of time expenditure and medical expenditure are significantly correlated with “supporting distance bias methods” and “environmental health results”. On the other side, travel expenditures and male gender results show negatively associated with the “environmental-health outcome”. This study reveals with these remarks that Ministry of Health, China should take serious actions to control MDR-TB and launch a comprehensive policy with the help of WHO recommendation.
      Citation: Energy & Environment
      PubDate: 2022-03-07T10:10:41Z
      DOI: 10.1177/0958305X221079425
       
  • Asymmetric effect of financial globalization on carbon emissions in G7
           countries: Fresh insight from quantile-on-quantile regression

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      Authors: Tomiwa Sunday Adebayo, Seyi Saint Akadiri, Usenobong Akpan, Bisola Aladenika
      Abstract: Energy & Environment, Ahead of Print.
      Being among the highest emitters of greenhouse gases globally, the G7 countries have pledged to halve their carbon emissions by 2030, relative to 2010. This is in clear recognition of the need to transit from carbon energy to more sustainable solutions that are climate-friendly. In view of this, understanding how financial globalization contributes to the realization of those pledges becomes necessary. In this paper, we introduce two major innovations to the literature on financial globalization and environmental degradation. First, in terms of methodology, we apply the quantile-on-quantile regression (QQR) approach with a nonparametric technique over the period 1970Q1–2018Q4. The combination of these techniques has so far received limited attention in the literature. Second, we test for an asymmetric nexus between financial globalization and carbon emission in the G7 economies—Canada, France, Germany, Italy, Japan, the United Kingdom and the United States—as they present an interesting area of research focus. Empirical results from the QQ regression show an emission-increasing effect of financial globalization on environmental degradation in the G7 nations. Furthermore, in order to assess the causal effect of financial globalization on environmental degradation, we apply the nonparametric causality technique. Overall, results from the nonparametric estimations show that financial globalization significantly predicts variation in environmental degradation across quantiles. From a policy standpoint, economic and political frameworks in these nations should be directed towards enhancing higher financial inflows that are in line with the stated economic and environmental policies, among other policy suggestions.
      Citation: Energy & Environment
      PubDate: 2022-03-07T10:09:46Z
      DOI: 10.1177/0958305X221084290
       
  • Evaluation of Reanalysis and Analysis Datasets against Measured Wind Data
           for Wind Resource Assessment

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      Authors: Ammara Kanwal, Zia ul Rehman Tahir, Muhammad Asim, Nasir Hayat, Muhammad Farooq, Muhammad Abdullah, Muhammad Azhar
      Abstract: Energy & Environment, Ahead of Print.
      The evaluation of reanalysis and analysis data (estimated data) against in-situ measured data is essential to find uncertainties before its use for wind resource assessment. The performance evaluation of four different generations reanalysis datasets (NCEP-CFSR, NCEP-DOE, NCEP-NCAR and JRA-55) and two analysis datasets (NCEP-FNL and NCEP-GFS) was done against measured data for six sites using statistical analysis. A comparison of monthly mean time-series, Weibull probability distribution function and wind rose diagram of measured and estimated data was performed. The MBE and RMSE for wind speed range from −2.18 to 2.01 m/s and 1.34 to 3.00 m/s respectively; whereas MBE and RMSE for wind direction range from −34.34° to 13.90° and 40.58° to 71.28° respectively for six sites using all datasets. NCEP-CFSR data show promising results for most of the sites with the lowest errors and better correlation coefficients. NCEP-CFSR data being the new generation reanalysis having higher spatial resolution show better results compared to other reanalyses and analyses. The reanalysis and analysis wind data can be used as alternative to measured data to assess wind energy potential.
      Citation: Energy & Environment
      PubDate: 2022-03-07T10:09:37Z
      DOI: 10.1177/0958305X221084078
       
  • Recent developments and issues of small-scale wind turbines in urban
           residential buildings- A review

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      Authors: N. Aravindhan, M. P. Natarajan, S. Ponnuvel, P.K. Devan
      Abstract: Energy & Environment, Ahead of Print.
      To address the future growth in energy demands, complete renewable power generation from environmental assets demands unique methodologies from every investigator. Wind energy harvesting in residential areas is one such approach. But the urban landscape and the physical challenges restrict the erection of small-scale wind turbines. Further, a significant degree of uncertainty leads to a lack of awareness of how dispersion in urban environments impacts turbine performance. This research looks into the potential productivity of wind turbine installations in urban areas, considering turbulence. These unique ambient conditions prevailing in a dynamic environment compared to flat terrains have made the harnessing of wind energy very difficult. Many researchers are still trying to find an effective methodology in these constrained circumstances. Since the characteristics of small-scale wind turbine models are undetermined, large-scale turbines fared well compared to small-scale wind turbine models. The feasibility and success of small and medium turbines in community homes were investigated in this study. The origins of the very uncertain nature of atmospheric boundary layer limitations are discussed in this work and subsequent successful developments by different researchers.
      Citation: Energy & Environment
      PubDate: 2022-03-02T12:37:03Z
      DOI: 10.1177/0958305X221084038
       
  • Optimization of Micro Gas Turbine Based Hybrid Systems for Remote Off-grid
           Communities

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      Authors: Nareg Basmadjian, Sean Yun, Zekai Hong
      Abstract: Energy & Environment, Ahead of Print.
      Inherent fuel flexibility of micro gas turbine (MGT) makes the engine a promising energy solution to remote Canadian communities that are not connected to the North American electricity grid, where bio-oils derived from locally available bio-mass may be utilized to meet local power and heat demands to reduce fossil fuel consumption. The switch to bio-oils enabled by MGTs reduces not only carbon footprints but also operating expenses due to high transportation costs of fossil fuels. However, MGT efficiencies are greatly reduced at partial loads. This work investigates the feasibility of addressing MGT efficiency drops at partial loads by incorporating MGT with a Battery Energy Storage System (BESS) to form a hybrid system so that the MGT can be operated at near full power at all times for better efficiencies. In this study, a daily power demand profile of a typical Canadian household is adopted for optimizing battery size and MGT operating strategies. By optimizing MGT daily start time and the engine's threshold partial load factor, the specific fuel consumption and battery size can be minimized for a specific number of households on a micro-grid supported by the MGT-based hybrid power system.
      Citation: Energy & Environment
      PubDate: 2022-03-02T12:37:00Z
      DOI: 10.1177/0958305X221082926
       
  • Removal of hydrochlorothiazide from drinking and environmental water:
           Hydrolysis, direct and indirect photolysis

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      Authors: Maria M. Uzelac, Branislava Srđenović Čonić, Nebojša Kladar, Stevan Armaković, Sanja J. Armaković
      Abstract: Energy & Environment, Ahead of Print.
      Diuretic hydrochlorothiazide (HCTZ) has been detected in drinking and environmental water. Since HCTZ exhibited some toxic effects on the environment, it is essential to propose safe and economical ways of its removal. The influence of water quality on the removal efficiency of HCTZ from the environment was observed. The stability of HCTZ was investigated in ultrapure (UPW), tap, and two different environmental waters, by hydrolysis, photolysis, and indirect photolysis under simulated solar irradiation (SSI) and UV irradiation. Also, experiments were conducted at temperatures of (5  ±  1) °C and (25  ±  1) °C, in the dark. Comprehensive experimental and computational analysis was performed to examine the stability and reactivity. The results show that HCTZ is susceptible to hydrolysis. Photolysis and indirect photolysis were efficient under UV irradiation, wherein HCTZ was entirely degraded after 180 min of irradiation in UPW. Chloride ions, carbonates, calcium, and magnesium ions present in natural waters inhibited the degradation of HCTZ. This diuretic has significant interaction with •OH radicals. A 4-amino-6-chlorobenzene-1,3- disulfonamide (ABSA) was observed as a stable degradation product, and ABSA formation's degradation mechanism was proposed. Mineralization of HCTZ was above 50% in H2O2/UV system in UPW after 180 min of irradiation.
      Citation: Energy & Environment
      PubDate: 2022-03-02T04:19:10Z
      DOI: 10.1177/0958305X221084035
       
  • Computational Galerkin Finite Element Method for Thermal Hydrogen Energy
           Utilization of First Grade Viscoelastic Hybrid Nanofluid Flowing Inside
           PTSC in Solar Powered Ship Applications

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      Authors: Fatimah S Bayones, Wasim Jamshed, SH Elhag, Mohamed Rabea Eid
      Abstract: Energy & Environment, Ahead of Print.
      Parabolic trough solar collectors (PTSCs) are commonly used in solar thermal implementations to achieve high-temperatures. The current investigation looks at entropy formation and the effect of nano solid particles on a parabolic trough surface collector (PTSC) mounted aboard a solar-powered ship (SPS). The non-Newtonian first grade viscoelastic type, as well as a porous medium and Darcy-Forchheimer effects, were utilised in the current study. The flowing of PTSC was created by a non-linear stretching sheet, and the changing thermal conductivity, heat source, and viscous dissipation effects were used to calculate the heat flux in the thermal boundary layer. To convert partial differential equations (PDEs) into solvable ordinary differential equations (ODEs) with boundary-constraints, a similarity transformation strategy was used. The boundary-constraints and PDEs have been reduced to a set of non-linear ODEs (ordinary differential equations). To reach the approximated solution of ODEs, the Galerkin finite element method (G-FEM) is used. As working fluids, copper-sodium alginate (Cu-SA) and molybdenum disulfide-copper/sodium alginate (MoS2-Cu/SA) hybrid nanofluids were used. According to the findings, the permeability factor diminished the Nusselt number whilst boosting the skin friction factor. Furthermore, overall entropy variance throughout the domain was increased for flow speeds using the Reynolds number, and viscosity changes were tracked using the Brinkman number. When compared to MoS2-Cu/SA, using Cu-SA nanofluid boosted thermal efficiency by 1.3–18.8%.
      Citation: Energy & Environment
      PubDate: 2022-02-28T12:00:13Z
      DOI: 10.1177/0958305X221081463
       
  • Environmental impact of fiscal decentralization, green technology
           innovation and institution’s efficiency in developed countries using
           advance panel modelling

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      Authors: Feng Wang, Tayyaba Rani, Asif Razzaq
      Abstract: Energy & Environment, Ahead of Print.
      The debate regarding mitigation of carbon dioxide emissions and fiscal decentralization has gained extreme attention, but only a little evidence supports this issue. Therefore, this study adopts fiscal decentralization, green technology innovation, and institutional efficiency that reduce environmental degradation and help to create a sustainable environment in seventeen developed countries. This study applies a novel Methods of Moment's Quantiles Regression (MMQR) which helps to deal with asymmetricity, structural change and non-normality. The overall results exhibit emissions mitigating effect of fiscal decentralization, green technology innovation and institutional efficiency. However, the emissions mitigating effects of fiscal decentralization is the lowest for lower quantiles and the highest for higher emissions quantiles. In contrast, emission reduction effect of green technology innovation and institutional efficiency is higher for lowest quantiles and lower for highest quantiles. These results confirm the asymmetric effect of fiscal decentralization, green technology innovation, and institutional efficiency on carbon emissions, and validating that their effect is not alike across all distribution, rather significantly varied at lower, medium, and higher quantiles. These results offer valuable suggestions to improve the environmental sustainability.
      Citation: Energy & Environment
      PubDate: 2022-02-23T05:07:58Z
      DOI: 10.1177/0958305X221074727
       
  • How do fiscal decentralization and intergovernmental fiscal transfers
           affect energy consumption in China'

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      Authors: Liangliang Liu, Yonghao Guan
      Abstract: Energy & Environment, Ahead of Print.
      Since the reform of the tax-sharing system in 1994, the regulation of the central government to local governments has relied on the mean of intergovernmental fiscal transfers (IFTs) to a certain extent. However, the existing literature has not yet explored the influence of fiscal decentralization (FD) on energy consumption in the presence of IFTs. Thus, this study empirically examines the influences of FD and IFTs on energy consumption by using panel data for 30 Chinese provinces during the period of 1998–2019. Results indicate that FD and IFTs have positive effects on energy consumption. Moreover, the positive influence of FD on energy consumption is strengthened by the improvement in IFTs. In addition, FD and IFTs affect energy consumption through industrial structure upgrading. In terms of policy implications, this study suggests that China may further reduce energy consumption by appropriately reducing the degree of FD, optimizing the intergovernmental fiscal transfer system, and promoting the upgrading of industrial structure.
      Citation: Energy & Environment
      PubDate: 2022-02-23T01:44:09Z
      DOI: 10.1177/0958305X221083250
       
  • A Time-Varying Analysis between Financial Development and Carbon
           Emissions: Evidence from the MINT countries

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      Authors: Tomiwa Sunday Adebayo, Seyi Saint Akadiri, Ilham Haouas, Husam Rjoub
      Abstract: Energy & Environment, Ahead of Print.
      Since the global economic crisis, researchers and policymakers have paid close attention to the carbon emissions and financial development interrelationship, and some researchers believe that financial development can aid in abating the emissions of carbon. Thus, the objective of this study is to analysis the impacts of financial development of the MINT countries (Mexico, Indonesia, Nigeria and Turkey) on their CO2 emissions year on year via historical data covering the period 1969–2019. The full-sample bootstrap non-Granger causality test outcomes for Mexico and Turkey reveal that there is a one-way causal association from financial development to CO2 emissions. Short and long-run instability is shown through a range of parameter constancy tests utilized to investigate the stability of the estimated vector autoregressive models. This implies that the full-sample causality tests are inadequate, necessitating the use of a time-varying (bootstrap) rolling-window technique to address parameter non-constancy and prevent pre-test distortion; therefore, this research uses rolling-window bootstrap estimation. Empirical results from the rolling-window bootstrap estimation show that the nexus between financial development and carbon emissions is date-stamped. These outcomes indicate that significant feedback causal associations exist between financial development and CO2 emissions in sub-sampled periods in the MINT nations. In addition, we observe emission-decreasing and emission-increasing effects of financial development in the sampled countries across period. One of the study policy recommendations is that policymakers in these nations through monetary authority should mop-up financial resources from institutions showing emission-increasing tendencies to institutions and/or sectors with emission-reducing tendencies.
      Citation: Energy & Environment
      PubDate: 2022-02-21T12:35:48Z
      DOI: 10.1177/0958305X221082092
       
  • Assessing Indian Point’s Electricity Generation Through Renewable Energy
           Pathways: A Technical and Economic Analysis

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      Authors: Jenny R. Frank, Tristan R. Brown, Rohit D. Bhonagiri, Ryan J. Quinn, Kirsten C. McGiver, Marie-Odile P. Fortier, Robert W. Malmsheimer, Timothy A. Volk, Thomas R. Dapp
      Abstract: Energy & Environment, Ahead of Print.
      The Indian Point Energy Center (IPEC) supplied approximately 25% of New York City and the surrounding area’s electricity. As of April 2021, the nuclear power plant has been shut down, creating the need for other energy sources to meet the demand. This scoping analysis study examined the ability of different renewable pathways (solar photovoltaic (PV), willow biomass, onshore wind, and two combinations of these) to replicate the IPEC’s electricity generation profile. Five renewable electricity generation supply profiles were developed and analyzed from monthly and seasonal perspectives. The timing and alignment of the different generation supply profiles relative to that of IPEC were analyzed. Productivity in MWh hectare−1 year−1 and economic feasibility of the renewable electricity pathway scenarios were assessed. This study identified the solar PV pathway as the most efficient in terms of electricity land productivity at 731.9 MWh hectare−1 year−1, while the willow biomass pathway was the least efficient at 15.2 MWh hectare−1 year−1. However, in terms of net electricity output to the grid, the solar PV pathway was the least productive at 137,610 MWh/year, while the onshore wind with willow biomass pathway produced the highest net output at 894,801 MWh/year. These findings are important at a time when policymakers are considering or implementing plans to phase out nuclear power in favor of renewable electricity.
      Citation: Energy & Environment
      PubDate: 2022-02-18T03:35:02Z
      DOI: 10.1177/0958305X221074728
       
  • The impact of eco-environmental regulation on green energy efficiency in
           China - Based on spatial economic analysis

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      Authors: Mingran Wu
      Abstract: Energy & Environment, Ahead of Print.
      To figure out at what extent of China's investment in energy technology in recent years has helped economic growth and improved the environment. From the basic theory of environmental regulation’s influence on energy consumption efficiency, this study uses the super-efficiency slack base model to measure the green energy efficiency of 30 provinces in China from 2010 to 2019, and uses the kernel density function to analyze evolution trajectory. Then, the spatial Dubin model is used to test the influence of some important economic variables. The results of value show that although China's green energy efficiency improved significantly from 2010 to 2019, the overall performance was lacking. However, the overall efficiency value was significantly improved during the study period. Moreover, the efficiency value was closely related to the performance of economic development. From the dynamic trajectory perspective, efficiency values of all years show the type of "two peaks".Altough the width between the two peaks did not change noticeably, but the efficiency still had a significantly improved. In addition, according to the results of spatial economic regression analysis, eco-environmental constraints, foreign direct investment, and industrial agglomeration were not conducive to the efficiency value, while industrial structure and manufacturing enterprise scale had positive effects. In addition, the influence effects had obvious spatial phenomena. Therefore, for the Chinese government, enterprises and society, the next step is not only to vigorously exploit energy-saving and emission reduction technologies to improve energy consumption efficiency but also to establish reasonable environmental regulation policies to push enterprises to produce in a cleaner way. Additionally, a reasonable regional development plan should be established to promote the rational distribution and flow of the energy industry across different places. This paper provides a novel perspective for the study of energy input and usage.
      Citation: Energy & Environment
      PubDate: 2022-02-16T02:29:46Z
      DOI: 10.1177/0958305X211072435
       
  • Does environmental pollution weaken the positive effect of government
           public expenditure on residents’ subjective well-being' A case study
           in China

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      Authors: Jingmei Li, Shaofei Yu, Zhihua Xu
      Abstract: Energy & Environment, Ahead of Print.
      With the deepening of government reform, the Chinese government has strengthened the functions of public service and social management. Public policies are increasingly concerned with residents’ well-being. However, environmental quality, which can be regarded as a visual indicator to reflect the performance of environmental protection and the quality of public service, is still not optimistic in China. Thus, we wonder if there exist deep relationships among public expenditure, environmental pollution, and subjective well-being. By combining the data from the Chinese Family Panel Survey (CFPS) with relevant government statistics, we find that public expenditure improves residents’ well-being, whereas environmental pollution has a negative effect. More importantly, environmental pollution is found to moderate the relationship between government expenditure and residents’ subjective well-being. These findings not only prove the extra costs of environmental degradation, but also suggest that good performance of environmental governance should be emphasized in promoting human welfare.
      Citation: Energy & Environment
      PubDate: 2022-02-14T03:23:26Z
      DOI: 10.1177/0958305X221079424
       
  • Population aging redefines the economic growth-carbon emissions nexus,
           energy consumption-carbon emissions nexus - Evidence from 36 OECD
           countries

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      Authors: Qiang Wang, Ting Yang, Rongrong Li, Lili Wang
      Abstract: Energy & Environment, Ahead of Print.
      This work aims to analyze the impact of population aging on the relationship between economic growth and carbon emissions, and the relationship between energy consumption and carbon emissions. To this end, based on the panel data of 36 OECD countries from 1996 to 2016, the panel threshold regression model was developed. In the model, per capita carbon emissions are the explained variables, economic development (per capita GDP) and per capita energy consumption are the core explanatory variables of the two models respectively, population aging is the threshold variable, population size, technological innovation level, the degree of urbanization, industrial structure and energy intensity are control variables. The empirical results show that there is a population aging threshold effect between per capita GDP and per capita carbon emissions, and between per capita energy consumption and per capita carbon emissions. This means that population aging is an important factor that affects the relationship between economic growth and carbon emissions, as well as energy consumption and carbon emissions. Although economic growth and carbon emissions, energy consumption and carbon emissions were coupled, the coupling state decline when the population aging crosses the threshold value. This indicates that the population aging contributes to the decoupling of the economic growth and carbon emissions, and the decoupling of energy consumption and carbon emissions. Finally, on the basis of the proposed model, a robust analysis of the variable of trade openness was conducted to prove the validity of this research.
      Citation: Energy & Environment
      PubDate: 2022-02-14T03:23:11Z
      DOI: 10.1177/0958305X221079426
       
  • Hydropower development, policy and partnership in the 21st century: A
           China-Nigeria outlook

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      Authors: Taitiya Kenneth Yuguda, Sunday Adiyoh Imanche, Tian Ze, Tosin Yinka Akintunde, Bobby Shekarau Luka
      Abstract: Energy & Environment, Ahead of Print.
      Regardless of the challenges facing renewable energy development in today’s world, hydropower is still the most broadly patronized source of renewable energy, with a global installed capacity of 1330 GW in 2020. Hydropower contributes the largest share of the total installed renewable energy globally, accounting for more than 54% of renewable energy generation capacity worldwide. In this 21st century, the quest for a global shift to a carbon-emission-free future has been epitomized by China through its way of overcoming some crucial challenges to becoming the number one hydropower producer in the world. China is currently the top exporter of its hydropower technology and expertise to a reasonably significant number of countries across the globe. Due to failed energy policy implementation, Nigeria, on the other hand, has been languishing in air pollution from fossil fuel energy generation due to poor and erratic electrical energy supply from the grid, despite its enormous hydropower potential. However, a resurgence of Nigeria’s National renewable energy and Energy Efficiency Policy in 2015 resulted in a consortium signed between China and Nigeria, placing China at the helm of reviving Nigeria’s hydropower industry, yielding some positive outcomes so far. A partnership between technologically advanced and undeveloped countries, particularly Africa, is required to overcome significant avoidable hydropower constraints towards attaining their full hydropower output potential. In this way, the imperative to guaranteeing a globally cleaner and more sustainable energy future is more reassuring.
      Citation: Energy & Environment
      PubDate: 2022-02-14T02:50:52Z
      DOI: 10.1177/0958305X221079423
       
  • Pyrolysis of rice husk using CO2 for enhanced energy production and soil
           amendment

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      Authors: Hakyoung Kim, Saeyeon Kim, Jeongmin Lee, Minyoung Kim, Dohee Kwon, Sungyup Jung
      Abstract: Energy & Environment, Ahead of Print.
      Anthropogenic CO2 generations from use of fossil resources has led to catastrophic climate problems. Biochar is a promising material for CO2 capture and storage in soil, because it does not require additional storage space. To produce biochar, pyrolysis is required in an oxygen-limited condition. In an attempt to offer more environmentally benign route for biochar formation, this study introduced CO2 as a reaction agent. Using rice husk as a model compound, biochars were produced under CO2 and N2 condition. Porosity of rice husk biochars (RHBs) were enhanced under CO2 condition, because CO2 affected to formation of nano-sized pores. pH and moisture retention capacity of garden soil was controlled with an addition of RHBs. Mixtures of garden soil and RHB were also used as cultivation media for growth of barley grass, and plant growth in the mixtures was improved by 20% comparing to garden soil. Moreover, CO2 contributed to enhanced syngas generation during biochar production through gas phase reactions between CO2 and volatile compounds. Thus, this study proved that CO2 is a useful reactant for pyrolysis of biomass waste.
      Citation: Energy & Environment
      PubDate: 2022-02-10T09:27:38Z
      DOI: 10.1177/0958305X221079422
       
  • A current efficiency model coupled with desiccant molecular weight for
           

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      Authors: Qing Cheng, Han Wang, Lin Zhu, Yao Chen
      Abstract: Energy & Environment, Ahead of Print.
      Liquid desiccant air-conditioning system is an energy-efficient choice for heat and moisture independent treatment in buildings, especially for the large dehumidification load. Electrodialysis regeneration is a novel and reliable regeneration method for liquid desiccants, which is suitable for hot and humid climates. In this paper, the performance of the electrodialysis regenerator for regenerating lithium chloride and lithium bromide solutions was studied experimentally, and the current efficiency of the electrodialysis regenerator for regenerating these two solutions was compared. Through analysis, the solute molecular weight was coupled into the current efficiency model, and a new current efficiency model of electrodialysis regenerator for regenerating these two solutions was established, which considers the solute molecular weight of liquid desiccant and can be extended to more liquid desiccants in the future. Furthermore, the performance of the liquid desiccant air-conditioning system using electrodialysis regeneration with these two solutions is compared based on this model. The results show that when lithium chloride solution is applied as liquid desiccant, the system performance coefficient (COP, ratio of cooling capacity to energy consumption) is between 1.16 and 4.49, while the performance coefficient of the system is between 2 and 8.3 when the system uses lithium bromide solution.
      Citation: Energy & Environment
      PubDate: 2022-02-10T09:27:25Z
      DOI: 10.1177/0958305X221079421
       
  • Effect of Cerium oxide nanoparticles derived from biosynthesis of
           Azadirachta indica on stability and performance of a research CI engine
           powered by Diesel-Lemongrass oil blends

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      Authors: Sathiyamoorthi Ramalingam, G Sankaranarayanan, S Senthil, R.A Rohith, R Santosh Kumar
      Abstract: Energy & Environment, Ahead of Print.
      The effects of performance and emission parameters of a mono-cylinder CI engine have been studied using new alternate fuel: Lemongrass oil (LGO) with nano additive (Cerium Oxide). The study focuses on a novel biosynthesis method (Plant-mediated synthesis) of CeO2 nano-additives from the Azadirachta indica plant, which is less toxic and more compatible with other chemical methods. The biosynthesis method is a simple, high-yielding, environmentally friendly alternative to chemical methods. Recently, a green technique based on impulsively decreasing elements such as polysaccharides, microorganisms (bacteria and fungas), or plant extract has been developed. This is due to the fact that the process is a simpler, non-hazardous, and environmentally friendly alternative technique when compared to the intricate chemical techniques of synthesis of nano-additives. The engine tests were carried out by using three different volumetric percentages (LGO25, LGO25 + 50 ppm and LGO25 + 100 ppm) and related with base diesel. The test outcomes revealed that the BSFC decreased by 4.98% and 6.83% and BTE increased by 1.76% and 2.27% at LGO25 + CE 50 ppm and 100 ppm concentrations, correspondingly. The CO emission decreased by 18.18% and 24.2%, HC emission decreased by 3.03% and 9.1%, NOx emission decreased by 14.8% and 31%, Smoke emission decreased by 10.5% and 15.1% for LGO25 + CE 50 ppm and 100 ppm correspondingly.
      Citation: Energy & Environment
      PubDate: 2022-02-10T09:27:15Z
      DOI: 10.1177/0958305X221077386
       
  • Renewable energy resources: Combustion and environmental impact of diesel
           with pyrolytic and biodiesel blends

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      Authors: Halil İbrahim Sönmez, Fatih Okumuş, Aykut Safa, Zafer Aydin, Cenk Kaya, Görkem Kökkülünk
      Abstract: Energy & Environment, Ahead of Print.
      The worldwide increasing energy demand, interest in alternative energy production and limited resources have made it inevitable to turn to recovering wastes, such as waste tires. Waste tires with annual increase of 2%, corresponding to significant reserves all over the world, brings a serious environmental pollution. In this study, energy recovery was planned considering environmental pollution caused by waste tires and waste cooking oils, both. Accordingly, performance and emission analyzes were carried out using fuels formed by mixing pyrolytic oil obtained from waste tires (WTPO) and biodiesel obtained from waste cooking oil with diesel fuel in a single cylinder engine. The experiments are carried out at 2800 rpm and at full load condition. The findings of engine performance and exhaust emissions were evaluated. While the maximum brake specific fuel consumption (Bsfc) value was determined as 2100 g/kWh for blend fuel of 30% biodiesel and 10% WTPO in diesel fuel, the maximum brake thermal efficiency (Bte) value was determined as 33.541% for P30 fuel. The crank angles yielding maximum in-cylinder pressures approach to top dead center, with increasing biodiesel fraction while keeping WTPO fraction constant. While the increase in the amount of WTPO in the test fuels has an effect on the increase of CO emissions, and increasing biodiesel ratio has reduced the CO emissions. Also the use of biodiesel without WTPO increases NOx emissions slightly, while providing an effective reduction at high WTPO fractions. At low WTPO fractions, biodiesel has reduced HC emissions, while at high WTPO fractions has increased.
      Citation: Energy & Environment
      PubDate: 2022-02-07T09:54:38Z
      DOI: 10.1177/0958305X221078262
       
  • Changing the regulations for regulating the changes: From distribution
           system operator (DSO) to electricity distribution stakeholders’
           organization (EDSO)

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      Authors: Sajjad Solat, Farrokh Aminifar, Heidarali Shayanfar
      Abstract: Energy & Environment, Ahead of Print.
      Followed by the extensive activation of demand side entities, the anti-competitive and monopolistic aspects of distribution system operator (DSO) is becoming more apparent. The business model of the DSO and its regulations are not capable enough to fully leverage the capacity of emerging technologies and responsive prosumers. This paper criticized the challenges/deficits revolving around the conventional DSO model and proposes an interactive platform based on the sharing economy business model at the network level. The electricity distribution stakeholders’ organization (EDSO) as the substitute of DSO in active distribution networks is developed based on the collaborative governance decision-making model. The EDSO has the privilege to legislate on the platform operation and its main policy is to preserve the public interest as well as the integrity of electric distribution system. The superiority of proposed operation model is its non-monopolistic and non-profit nature which materializes the perfect competition of active customers and guaranties their maximum utilization.
      Citation: Energy & Environment
      PubDate: 2022-02-02T05:31:54Z
      DOI: 10.1177/0958305X211073800
       
  • Financial Instability and CO2 Emissions in India: Evidence from ARDL Bound
           Testing Approach

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      Authors: Muhammad Qayyum, Yuyuan Yu, Mir Muhammad Nizamani, Saqlain Raza, Minhaj Ali, Shijie Li
      Abstract: Energy & Environment, Ahead of Print.
      The purpose of this study is to explore the relationship between financial instability and carbon dioxide (CO2) emissions in India from 1980 to 2020. The Autoregressive Distributed Lag (ARDL) model is used to measure long-run and short-run dynamics, followed by the Vector Error Correction Model (VECM) to determine the causal direction. As per the findings of the study, financial instability has an insignificant effect on CO2 emissions. However, economic development, energy use, and urbanization have a detrimental effect on environmental quality because it releases a significant amount of CO2 emissions into the environment. Our empirical findings confirmed the presence of an environmental Kuznets curve. The outcomes of the VECM show that the long-run causality can be noticed in CO2 emissions, financial instability, energy use, and urbanization. Furthermore, the validity and reliability of the results were verified by using a variety of diagnostic tests. This research presents novel results that add to the current literature and may be of particular importance to the country's policymakers regarding the financial system and its importance in environmental problems.
      Citation: Energy & Environment
      PubDate: 2022-02-01T12:29:08Z
      DOI: 10.1177/0958305X211065019
       
  • Numerical Simulations of Environmental Energy Features in Solar Pump
           Application by Using Hybrid Nanofluid Flow: Prandtl-Eyring Case

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      Authors: Wasim Jamshed, Rabia Safdar, Ameni Brahmia, Abdullah K. Alanazi, Hala M. Abo-Dief, Mohamed Rabea Eid
      Abstract: Energy & Environment, Ahead of Print.
      As the primary energy source derived from the sun, solar energy is widely utilized in various technologies, including photovoltaic cells as well as the solar types of energy plates, street lights, and water pumping. This era is about studying solar radiations and a way to active enhancements in solar power pump (SWP) efficacy with the use of solar radiations and nanotechnology. Communication is structured to examine the capability of SWP in terms of transfer of heat using a hybrid nanofluid passing through a parabolic trough surface collector (PTSC) placed inside the pipeline of SWP. Solar radiation has been considered a heat source. The performance in terms of heat transfer of the SWP is scrutinized for various effects like porous media, viscous dissipation, radiative heat flux, and Cattaneo–Christov heat flux (C–CHF). Entropy generation analysis is also conducted for Prandtl – Eyring fluid (P-EF). The simulated momentum and energy equations were solved using the Keller box technique, which is a well-known numerical approach. For this work, Prandtl – Eyring hybrid nanofluid (P-EHNF) has been considered, consisting of double diverse kinds of nanotubes (NT), including single-walled carbon nanotubes (SWCNT) and multi-walled carbon nanotubes (MWCNT) in the rich, viscous fluid of kind Sodium Alginate (SA). The impact of various parameters on velocity, temperature fields, shear stress, coefficient of drag force, and Nusselt number are investigated and demonstrated in graphs and tables. The SWP experience an enhancement in the transfer of heat for amplification of the parameters of thermal radiative flow as well as viscous dissipation. In comparison with conventional nanofluid, hybrid nanofluid performs better in heat transmission. The thermal efficacy of MWCNT/SWCNT-SA over SWCNT-SA got down to a minimal level of 39.9% and peaked at 42.2%.
      Citation: Energy & Environment
      PubDate: 2022-02-01T04:24:53Z
      DOI: 10.1177/0958305X211073806
       
  • Application of RALS cointegration test assessing the role of natural
           resources and hydropower energy on ecological footprint in emerging
           economy

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      Authors: Firat Emir, Selin Karlilar
      Abstract: Energy & Environment, Ahead of Print.
      This paper assesses the nexus between natural resource rent, hydropower energy consumption and ecological footprint for environmental sustainability incorporating with economic performance by using yearly data from 1970 to 2017. To this end, the long run steady-state relationship among investigated variables has been analyzed by using newly established Residual Least Squares (RALS) method and confirmed for Turkish economy. The directions and magnitudes of the effects of these variables on ecological footprint were tested by using Dynamic Ordinary Least Squares (DOLS) technique. The findings, except hydropower energy consumption, reveal statistically significant and positive effects of investigated variables on ecological footprint. Moreover, the inverted U-shaped EKC hypothesis was also affirmed between economic performance and ecological footprint. The causal relationship among these variables were also tested by using VECM Granger causality test The unidirectional Granger causality relationships were found that they are running from ecological footprint, and natural resource rent to economic performance, from natural resources to ecological footprint and from natural resource rent to economic performance in Turkish economy. Additionally, the bidirectional causal relationship has been detected among economic performance and ecological footprint in Turkey. The findings highlight the importance of investigated variables on ecological footprint in Turkey.
      Citation: Energy & Environment
      PubDate: 2022-01-28T08:54:14Z
      DOI: 10.1177/0958305X211073807
       
  • Community perspectives on natural gas management in Tanzania

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      Authors: Obadia Kyetuza Bishoge, Godlisten Gladstone Kombe, Benatus Norbert Mvile
      Abstract: Energy & Environment, Ahead of Print.
      Several studies have discussed community participation in socio-economic projects. The studies have shown that many projects that have been initiated by either the government or private sectors have encountered resistance and reluctance from the local communities and other officials due to lack of prior and continuous involvements, poor dissemination of information on the significance of the projects, and differences in priority and interests. One of the key factors for the success and sustainability of any project is a clear understanding of the community's voluntary involvement, perspectives, and expectations of the given project. This study, therefore, aims to analyze the communities’ perspectives, expectations, and concerns related to the recent discovery and management of natural gas in Tanzania. The study adopted a questionnaire survey. Data was collected from the 115 respondents from local communities of Lindi and Mtwara regions in Tanzania. The study revealed that the communities are aware of the natural gas discoveries and policies and laws related to them. It shows that a small number of employment opportunities have been created and/or are expected to increase in the future. There should be transparency and accountability in the natural gas development, contracts, and agreements. The parliament should be the most trustworthy custodian of natural gas revenues. The study revealed that the natural gas sector would enhance the living conditions of Tanzanian households and support the attainment of the country's socio-economic development.
      Citation: Energy & Environment
      PubDate: 2022-01-24T12:32:30Z
      DOI: 10.1177/0958305X221076047
       
  • PERFORMANCE EVALUATION OF ADVANCED ENERGY STORAGE SYSTEMS: A REVIEW

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      Authors: Gulam Smdani, Muhammad Remanul Islam, Ahmad Naim Ahmad Yahaya, Sairul Izwan Bin Safie
      Abstract: Energy & Environment, Ahead of Print.
      Energy systems are progressive and revolutionary for their alternative resources, technical developments, demands, effectiveness and environmental effects. The recently published research's goal is to assess and evaluate the systems that are already in operation and those that will be in the future. Energy can be stored as electrical energy such as supercapacitors (SCs) and superconducting magnetic energy storage (SMES) etc., mechanical energy such as pumped hydro energy storage (PHES), compressed air energy storage (CAES) and flywheel energy storage (FES) etc., chemical energy, electrochemical energy such as batteries and fuel cells etc., and thermal energy. Performance of these energy storage systems (ESSs) have been evaluated in terms of energy density, power density, power ratings, capacitance, discharge-time, energy-efficiency, life-time and cycling-times, and costs. Supercapacitors provide highest power density (>10,0000 W/l), while hydrogen fuel cells provide highest energy density (500-3000Wh/l) among other EESs. Batteries also provide high energy density(200-500Wh/l). The energy efficiency is found highest in SMES system (95-98%), and lowest in TES system (30-50%). Moreover, batteries and supercapacitors have the cycle efficiency above 90%. PHES and CAES seem to be the most cost-effective energy storage systems reviewed in this analysis in terms of $/kWh. In addition, power-based capital cost of supercapacitors is lower (100-300$/kW) compared to energy-based capital cost of supercapacitors (300-2000$/kWh). In comparison with power-based capital costs, the energy-based capital cost of batteries is lower, which is 150-400$/kWh for Lead-acid battery, and
      Citation: Energy & Environment
      PubDate: 2022-01-21T12:30:56Z
      DOI: 10.1177/0958305X221074729
       
  • Optimal maintenance planning with special emphasis on deterioration
           process and vessel routing for offshore wind systems

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      Authors: Shuo-Yan Chou, Xuan Loc Pham, Thi Anh Tuyet Nguyen, Tiffany Hui-Kuang Yu
      Abstract: Energy & Environment, Ahead of Print.
      Maintenance cost contributes a large portion in total life-cycle cost of offshore wind systems and improves the efficiency of maintenance activities that has emerged as an effective solution in enhancing cost-effectiveness of offshore wind energy. This study proposes a mathematical model to determine the optimal maintenance schedules, by highlighting the deterioration process of offshore wind systems and accounting the optimal vessel routing of maintenance activities, maintenance cost therefore could be shifted to an optimal level. Firstly, reliability of each component is precisely analyzed with respect to the effect of previous maintenance activities. Then, an optimal individual maintenance schedule and a grouping maintenance schedule in daily manner are established based on reliability analysis and opportunity cost consideration. Finally, an optimal maintenance schedule approach accounting vessel routing is apparently presented to optimize the transportation cost of maintenance activities. Numerous influential factors such as system reliability, weather condition, maintenance resource, maintenance duration, production loss cost, and vessel related issues are deliberately examined to enhance the robustness and efficiency of the proposed approach. The experimental results investigating four different scenarios demonstrate that by applying the proposed approach, number of maintenance activity is lowered down, maintenance duration and vessel travelling distance are also significantly reduced in the range of 43.86% - 52.77%, and 52.90% - 58.35%, respectively. Therefore, the economic benefit on maintenance cost could be achieved in an interval of 15.15% - 23.25% by selecting the optimal maintenance schedule.
      Citation: Energy & Environment
      PubDate: 2022-01-18T11:35:33Z
      DOI: 10.1177/0958305X211073799
       
  • Numerical Optimization and Energetic Advantages of an Innovative Solar
           Power System Based on Scheffler Receiver Coupled with Volumetric Expanders
           

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      Authors: Paolo Iodice, Amedeo Amoresano, Giuseppe Langella, Francesco Saverio Marra
      Abstract: Energy & Environment, Ahead of Print.
      In the current context of increasing public awareness of the externalities of fossil fuel-based energy consumption, improvement in new technologies for energy-saving systems has become a crucial target to reduce both global warming and air pollution. Being motivated by such a critical matter, this study presents an innovative solar thermal plant based on volumetric expanders as work-producing devices coupled with Scheffler solar receivers as a thermal source. Nowadays, Scheffler receivers are well performing owing to high efficiency of the focal receiver which reduce heat losses. Simultaneously, screw expanders are volumetric machines which are able to convert thermal to mechanical power with acceptable efficiency also by expanding vapor-liquid blends at low operating pressures. The numerical model presented in this study evaluates the energetic benefits of the proposed solar power system for various operating situations. Parametric optimization of this solar power plant is then performed in a broad range of operating conditions: the optimum evaporation temperatures, together with the corresponding maximum global efficiencies, were so defined under various solar radiation intensities. The numerical results attained in this research prove that solar electricity generation systems based on screw expanders coupled with the Scheffler receivers are a promising technology.
      Citation: Energy & Environment
      PubDate: 2022-01-13T12:58:32Z
      DOI: 10.1177/0958305X211073808
       
  • Evaluating the impact of energy and environment on economic growth in BRI
           countries

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      Authors: Muhammad Noshab Hussain, Zaiyang Li, Abdul Sattar, Muhammad Ilyas
      Abstract: Energy & Environment, Ahead of Print.
      This study investigates the impact of renewable energy consumption (REC), nonrenewable energy consumption (NREC), and carbon emissions on economic growth in 133 Belt and Road Initiative (BRI) countries from 1996 to 2020. We divided our sample into four income groups. For empirical estimation, this study employs panel quantile regression (PQR), and fully modified ordinary least squares (FMOLS) estimation techniques. The results confirm that REC have a positive impact on economic growth and NREC has a negative impact on economic growth. A 1% increase in REC and carbon emissions results in an increase in economic growth of 0.108% and 1.085%, respectively. A 1% increase in NREC reduces economic growth by 0.263% in the full sample countries. There are regional differences, although NREC has a positive impact on economic growth in all income groups in the long run. These novel empirical findings will help policymakers design energy policies to fulfill the target of economic growth in BRI countries.
      Citation: Energy & Environment
      PubDate: 2022-01-13T12:58:18Z
      DOI: 10.1177/0958305X211073805
       
  • The moderating role of informal economy on financial development induced
           ekc hypothesis in turkey

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      Authors: Baris Memduh Eren, Salih Katircioglu, Korhan K. Gokmenoglu
      Abstract: Energy & Environment, Ahead of Print.
      This study conducts an empirical investigation about the moderating role of the informal economy on Turkey's environmental performance by employing advanced econometric techniques that account numerous structural breaks in series. In this extent, we created three interaction variables by captivating the impact of informal economic activities on CO2 emissions through income, energy use, and financial sector development. Besides, we built a main effect model without the interaction variables to assess the direct effects of our variables on global environmental degradation. The outcomes of the carried analyses produced supporting evidence toward the confirmation of the Environmental Kuznets Curve (EKC) assumption. Obtained findings shown that energy use, financial development and the informal economy in Turkey transmit a deteriorating impact on environmental well-being. Furthermore, the moderating role of the informal economy was found to be statistically significant factor in terms of both economic and environmental efficiency.
      Citation: Energy & Environment
      PubDate: 2022-01-10T12:49:37Z
      DOI: 10.1177/0958305X211070775
       
  • Energy and exergy analysis of the transient performance of a qanat-source
           heat pump using TRNSYS-MATLAB co-simulator

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      Authors: Maryam Karami, Hajar Abdshahi
      Abstract: Energy & Environment, Ahead of Print.
      In this study, the transient performance of a qanat source heat pump is investigated using a TRNSYS-MATLAB co-simulator. The water/ethylene glycol-to-air compression heat pump and the helical coil heat exchanger, which is used to inject heat to or to extract heat from the qanat water, are mathematically modeled in matrix laboratory (MATLAB), and then, coupled to transient systems simulation (TRNSYS) model to evaluate the system transient performance and calculate the heating and cooling loads of the case study building. Comparison of the performance of the qanat source heat pump with an air source heat pump showed that the coefficient of performance of the qanat source heat pump is at least 5% and at most 34% higher than that of the air source heat pump. By increasing the flow rate of the working fluid in the helical coil heat exchanger from 2 L/min to 8 L/min, the coefficient of performance of the qanat source heat pump increases at least 12% and at most 34.1%. The maximum increase in energy efficiency ratio and free energy ratio of the system by the similar increase in the flow rate is 46.4% and 24.8%, respectively. The exergy analysis of the qanat source heat pump reveals that the minimum and maximum exergy efficiency of the system is 32% and 85.5%, respectively. The findings also indicate that the most exergy destruction occurs in the condenser in heating mode and in the evaporator in cooling mode.
      Citation: Energy & Environment
      PubDate: 2022-01-10T12:49:22Z
      DOI: 10.1177/0958305X211068152
       
  • Can the Financial Industry ‘Anchor’ Carbon Emission Reductions':
           — The Mediating and Moderating Effects of the Technology Market

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      Authors: Shuhong Wang, Xiaojing Yi
      Abstract: Energy & Environment, Ahead of Print.
      Existing research is ambiguous about the relationship between the financial industry development scale and carbon emission reduction targets. Therefore, using data from 30 provinces and municipalities directly under the central government (excluding Tibet, Hong Kong, Macao, and Taiwan) from 2009–2018, this study divides the reduction targets into emission quantity and intensity to investigate this relationship. Using the improved STIRPAT equation, the pooled OLS and other estimation technique in robustness test, we found that the financial industry development scale is positively related to emission quantity and negatively related to emission intensity. The financial industry development scale inhibits carbon emission intensity through the mediating role of the technology market development degree, which also has a moderating effect on the scale. The study also discusses the regional differences in the scale's impact on carbon emission intensity, its compensation effect on the economic loss caused by carbon emissions, and the positive influence of policy implementation on carbon emission intensity. We provide suggestions to reduce carbon emissions and achieve carbon neutrality.
      Citation: Energy & Environment
      PubDate: 2022-01-06T12:48:26Z
      DOI: 10.1177/0958305X211061810
       
  • Process optimization for the production of biodiesel from Azolla
           Microphylla oil and its fuel characterization

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      Authors: T.R. Kannan, S. Sheeju Selva Roji, A. Agnes
      Abstract: Energy & Environment, Ahead of Print.
      The most competent and operative use of renewable feedstock is super critical for the production of biodiesel which has increased attention worldwide pertaining to aquatic fern Azolla. Maximizing the biodiesel yield by optimizing the process parameters of the low-frequency ultrasonic energy-assisted transesterification process of Azolla oil is the need of the hour for minimizing the production cost of biodiesel. Response Surface Methodology (RSM) was applied using central composite rotatable design (CCRD) to find the best optimum reaction parameters for this transesterification process. The optimized reaction parameters arrived from the design of experiments were as following: methanol/Azolla oils molar ratio (A)  =  6.49 mole/mole, KOH catalyst concentration (B)  =  1.69 (weight% of oil), reactiion time (C)  =  34.74 min and reaction temperature (D)  =  38.87°C. The best higher theoretical predicted Azolla Fatty Acid Methyl Ester (FAME) yield was Y  =  99.76% which is in well coincidence with the actual yield. The extracted Azolla biodiesel was tested for various fuel properties with standard test procedures and found to be in agreement with various Biodiesel standards and the results are promising in terms of utilizing Azolla oil as an inexhaustible and potentially economical source of biodiesel.
      Citation: Energy & Environment
      PubDate: 2022-01-05T06:13:57Z
      DOI: 10.1177/0958305X211065423
       
  • Analysis of vibrations in a diesel engine produced by Jatropha biodiesel
           using heterogeneous catalyst

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      Authors: Aparna Singh, Akhilesh Kumar Choudhary, Shailendra Sinha, Hitesh Panchal, Kishor Kumar Sadasivuni
      Abstract: Energy & Environment, Ahead of Print.
      Extensive consumption of fossil fuel has contributed to the worldwide decline of its reserves and detrimental effect on the environment. Therefore, it is essential to explore alternative option of fuel for diesel engine. The main objective of this research article is to optimize vibrations in a single-cylinder variable compression ratio diesel engine driven by Jatropha biodiesel blend. The heterogeneous catalyst (calcium oxide) is used to manufacture of biodiesel from Jatropha curcas oil by a process of transesterification. The optimization technique (Response Surface Methodology) has been employed to optimize root mean square acceleration of vibration by taking load, compression ratio (CR), and fuel injection pressure (FIP) as engine input parameters. Experiments were designed according to central composite design. The amplitude of the frequency domain signals is determined using Fast Fourier Transform and the influence of input parameters has been investigated in the frequency domain analysis of the vibration signatures. The adequacy and significance of the models have been checked by p-value and F value tests. Regression coefficients Adj. R2, R2, Pred. R2 were also found in acceptable range. The experimental outcome reveals that biodiesel yield of 81.6% was obtained at methanol-to-oil molar ratio of 12:1, reaction temperature of 65°C, reaction time of 3 h, and catalyst concentration of 5 wt%. Simultaneously, the model obtained a series of solutions based on the desirability criteria and proposed optimum setting of engine input parameters at a load of 2.59 kg, 17.94 CR, and 268.76 bar FIP for B30 blend. B30 blend generated root mean square acceleration of 4.46 m/s2 at above optimized conditions. A validation trial was conducted and the percentage of error for root mean square acceleration was found to be 2.3356% and 1.3039%, respectively, for B0 and B30 blend.
      Citation: Energy & Environment
      PubDate: 2022-01-05T02:22:10Z
      DOI: 10.1177/0958305X211063935
       
  • Amine-Ionic Liquid Blends in CO2 Capture Process for Sustainable Energy
           and Environment

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      Authors: Muthumari Perumal, Dhanalakshmi Jayaraman
      Abstract: Energy & Environment, Ahead of Print.
      In the present work, an experiment for CO2 capture process were performed by absorption using various aqueous solvent blends of amine and ionic liquids. The solvent blends were prepared for various compositions by mixing TetraButylAmmonium Acetate [TBA][OAC] and TetraButylAmmonium Bromide [TBA][Br] ionic liquids with Monoethanolamine (MEA). The obtained results were compared with baseline MEA. It was observed that capture efficiency of CO2, absorption rate of CO2 and CO2 diffusion coefficient of MEA-[TBA][OAC] and MEA-[TBA][Br] solvent blends were comparatively higher than baseline 30%MEA. Moreover, the parameters such as density, viscosity, pH, carbon loading and surface tension of all the solvent blends were measured for before and after absorption process. The carbon loading of solvent blends MEA-[TBA][Br] (0.405 mole of CO2/mole of solvent) and MEA-[TBA][OAC](0.459 mole of CO2/mole of solvent) was slightly lower than baseline MEA (0.494 mole of CO2/mole of solvent). However, the viscosity of MEA-[TBA][Br] blends were remarkably lower than MEA-[TBA][OAC] blend and baseline MEA. This might be an important key factor in solvent recovery process with lesser energy demand for sustainable energy and environment.
      Citation: Energy & Environment
      PubDate: 2022-01-04T03:49:06Z
      DOI: 10.1177/0958305X211070782
       
  • Alternative pathways to CO2 reduction in Gansu province, China

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      Authors: Guokui Wang, Xiaojia Guo, Jinxiu Fu, Qingyue Wei, Linlin Zhang
      First page: 809
      Abstract: Energy & Environment, Ahead of Print.
      Climate change has been considerable concerned because of the increasing greenhouse gas (GHG) emissions. Gansu province is a typical less-developed and heavy chemical industrial province, its CO2 emission per unit of the gross domestic product (GDP) is 252.52 ton per million Chinese yuan (t/M-CNY) in 2019, which is 48.42% more than national average value. Gansu province faces the following dual pressures including maintaining economic growth and reducing carbon dioxide (CO2) emissions. This paper establishes a low carbon development system dynamics model in order to investigate the effects of four carbon reduction measures (technical progress, industrial transformation, fuel substitution, and low carbon awareness) on reducing CO2 emission over the period of 2020–2030. The simulation results indicate that, without direct intervention, the CO2 emissions per unit of GDP is projected to be 171.34 t/M-CNY by 2030. While utilizing technical progress, implementing industrial transformation, fuel substitution, and low carbon awareness could potentially be 2.12%, 3.33%, 0.72% and 1.27%, respectively less than that. For the sake of achieving the goal of CO2 reduction in the long run, the local government should address today’s industrial transformation and adopt reasonable combination of adjustment and control policies immediately.
      Citation: Energy & Environment
      PubDate: 2022-01-21T01:18:36Z
      DOI: 10.1177/0958305X211023182
       
 
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