Subjects -> ENERGY (Total: 414 journals)
    - ELECTRICAL ENERGY (12 journals)
    - ENERGY (252 journals)
    - ENERGY: GENERAL (7 journals)
    - NUCLEAR ENERGY (40 journals)
    - PETROLEUM AND GAS (58 journals)
    - RENEWABLE ENERGY (45 journals)

ENERGY (252 journals)                  1 2 | Last

Showing 1 - 200 of 406 Journals sorted by number of followers
IET Power Electronics     Open Access   (Followers: 76)
Energy Policy     Partially Free   (Followers: 73)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 50)
IEEE Transactions on Power Systems     Hybrid Journal   (Followers: 45)
Energy     Partially Free   (Followers: 40)
IEEE Power and Energy     Full-text available via subscription   (Followers: 36)
Journal of Physical Chemistry C     Hybrid Journal   (Followers: 36)
Solar Energy Materials and Solar Cells     Hybrid Journal   (Followers: 29)
Advances in Natural Sciences : Nanoscience and Nanotechnology     Open Access   (Followers: 28)
Energy & Fuels     Hybrid Journal   (Followers: 27)
Nature Energy     Hybrid Journal   (Followers: 27)
Applied Energy     Partially Free   (Followers: 26)
Energy & Environment     Hybrid Journal   (Followers: 25)
International Journal of Alternative Propulsion     Hybrid Journal   (Followers: 23)
Energy and Power Engineering     Open Access   (Followers: 23)
International Journal of Turbomachinery, Propulsion and Power     Open Access   (Followers: 23)
Advances in High Energy Physics     Open Access   (Followers: 23)
Applied Solar Energy     Hybrid Journal   (Followers: 20)
Water International     Hybrid Journal   (Followers: 19)
Energy Materials : Materials Science and Engineering for Energy Systems     Hybrid Journal   (Followers: 19)
Solar Energy     Hybrid Journal   (Followers: 19)
International Journal of Hydrogen Energy     Partially Free   (Followers: 19)
Journal of Power Electronics & Power Systems     Full-text available via subscription   (Followers: 19)
Energy and Power     Open Access   (Followers: 18)
Journal of Solar Energy Engineering     Full-text available via subscription   (Followers: 18)
Canadian Water Resources Journal     Hybrid Journal   (Followers: 18)
Advances in Energy and Power     Open Access   (Followers: 16)
Nuclear Engineering and Design     Hybrid Journal   (Followers: 16)
IEEE Transactions on Energy Conversion     Hybrid Journal   (Followers: 16)
Progress in Energy and Combustion Science     Hybrid Journal   (Followers: 15)
Energy Conversion and Management     Hybrid Journal   (Followers: 15)
International Journal of Thermodynamics     Open Access   (Followers: 15)
Energy, Sustainability and Society     Open Access   (Followers: 15)
Energy Journal The     Hybrid Journal   (Followers: 14)
Energy and Environment Research     Open Access   (Followers: 13)
Surface Science Reports     Full-text available via subscription   (Followers: 13)
Economics and Policy of Energy and the Environment     Full-text available via subscription   (Followers: 13)
Waste Management     Hybrid Journal   (Followers: 13)
International Journal of Sustainable Energy     Hybrid Journal   (Followers: 12)
Energy and Buildings     Hybrid Journal   (Followers: 12)
Energy Systems     Hybrid Journal   (Followers: 11)
Energy Research & Social Science     Full-text available via subscription   (Followers: 11)
Oil and Gas Journal     Full-text available via subscription   (Followers: 11)
Advances in Building Energy Research     Hybrid Journal   (Followers: 11)
Journal of Solar Energy     Open Access   (Followers: 11)
Annual Review of Resource Economics     Full-text available via subscription   (Followers: 11)
Biofuels     Hybrid Journal   (Followers: 11)
Energy Science and Technology     Open Access   (Followers: 10)
Innovations : Technology, Governance, Globalization     Hybrid Journal   (Followers: 10)
Archives of Thermodynamics     Open Access   (Followers: 10)
IEEE Transactions on Nuclear Science     Hybrid Journal   (Followers: 10)
Biomass Conversion and Biorefinery     Partially Free   (Followers: 10)
Journal of Ocean and Climate     Open Access   (Followers: 9)
Energy Efficiency     Hybrid Journal   (Followers: 9)
Journal of Modern Power Systems and Clean Energy     Open Access   (Followers: 9)
International Journal of Green Energy     Hybrid Journal   (Followers: 8)
Energy Strategy Reviews     Open Access   (Followers: 8)
International Journal of Electric and Hybrid Vehicles     Hybrid Journal   (Followers: 8)
International Journal of Energy Research     Hybrid Journal   (Followers: 8)
International Journal of Global Energy Issues     Hybrid Journal   (Followers: 8)
Batteries     Open Access   (Followers: 8)
Wiley Interdisciplinary Reviews : Energy and Environment     Hybrid Journal   (Followers: 8)
Journal of Renewable Energy     Open Access   (Followers: 8)
International Journal of Energy and Power     Open Access   (Followers: 8)
CERN courier. International journal of high energy physics     Free   (Followers: 8)
Environmental Progress & Sustainable Energy     Hybrid Journal   (Followers: 7)
Applied Nanoscience     Open Access   (Followers: 7)
Energy and Environment Focus     Free   (Followers: 7)
American Journal of Energy Research     Open Access   (Followers: 7)
Annals of Nuclear Energy     Hybrid Journal   (Followers: 7)
Fuel and Energy Abstracts     Full-text available via subscription   (Followers: 7)
Structural Control and Health Monitoring     Hybrid Journal   (Followers: 6)
Energy Science & Engineering     Open Access   (Followers: 6)
Energy Prices and Taxes     Full-text available via subscription   (Followers: 6)
Materials for Renewable and Sustainable Energy     Open Access   (Followers: 6)
Energy Reports     Open Access   (Followers: 5)
Joule     Hybrid Journal   (Followers: 5)
Computational Water, Energy, and Environmental Engineering     Open Access   (Followers: 5)
Energy Technology     Partially Free   (Followers: 5)
Journal of Building Performance Simulation     Hybrid Journal   (Followers: 5)
Journal of Energy & Natural Resources Law     Hybrid Journal   (Followers: 5)
Frontiers in Energy Research     Open Access   (Followers: 5)
Batteries & Supercaps     Hybrid Journal   (Followers: 5)
International Journal of Sustainable Energy Planning and Management     Open Access   (Followers: 5)
Atomic Energy     Hybrid Journal   (Followers: 5)
Energy and Environmental Engineering     Open Access   (Followers: 5)
Geothermal Energy     Open Access   (Followers: 5)
Energy Studies Review     Open Access   (Followers: 5)
Journal of Energy Technologies and Policy     Open Access   (Followers: 5)
Energy Storage Materials     Full-text available via subscription   (Followers: 5)
Carbon Management     Hybrid Journal   (Followers: 5)
Journal of Nano Energy and Power Research     Full-text available via subscription   (Followers: 4)
Journal of Energy, Environment & Carbon Credits     Full-text available via subscription   (Followers: 4)
American Journal of Energy and Environment     Open Access   (Followers: 4)
International Journal of Applied Power Engineering     Open Access   (Followers: 4)
Journal of International Energy Policy     Open Access   (Followers: 4)
International Journal of Nuclear Energy Science and Technology     Hybrid Journal   (Followers: 4)
Journal of Photochemistry and Photobiology B: Biology     Hybrid Journal   (Followers: 4)
ACS Energy Letters     Hybrid Journal   (Followers: 4)
International Journal of Sustainable Engineering     Hybrid Journal   (Followers: 4)
Annual Reports on NMR Spectroscopy     Full-text available via subscription   (Followers: 4)
Development of Energy Science     Open Access   (Followers: 4)
ACS Applied Energy Materials     Hybrid Journal   (Followers: 4)
Journal of Energy Storage     Full-text available via subscription   (Followers: 4)
Foundations and Trends® in Renewable Energy     Full-text available via subscription   (Followers: 4)
Strategic Planning for Energy and the Environment     Hybrid Journal   (Followers: 4)
Sustainable Energy, Grids and Networks     Hybrid Journal   (Followers: 4)
Frontiers in Energy     Hybrid Journal   (Followers: 4)
Protection and Control of Modern Power Systems     Open Access   (Followers: 3)
Functional Materials Letters     Hybrid Journal   (Followers: 3)
Power Technology and Engineering     Hybrid Journal   (Followers: 3)
Dams and Reservoirs     Hybrid Journal   (Followers: 3)
Journal of Energy, Mechanical, Material and Manufacturing Engineering     Open Access   (Followers: 3)
Journal of Energy Chemistry     Full-text available via subscription   (Followers: 3)
Journal of Photochemistry and Photobiology C: Photochemistry Reviews     Full-text available via subscription   (Followers: 3)
Energy and Emission Control Technologies     Open Access   (Followers: 3)
International Journal of Energy and Environmental Engineering     Open Access   (Followers: 3)
Wind Energy     Hybrid Journal   (Followers: 3)
International Journal of Energy and Statistics     Hybrid Journal   (Followers: 3)
Distributed Generation & Alternative Energy Journal     Hybrid Journal   (Followers: 3)
Science and Technology of Nuclear Installations     Open Access   (Followers: 3)
Journal of Photochemistry and Photobiology A: Chemistry     Hybrid Journal   (Followers: 3)
Journal of Power and Energy Engineering     Open Access   (Followers: 2)
Sustainable Energy     Open Access   (Followers: 2)
Clean Energy     Open Access   (Followers: 2)
Energy Technology & Policy     Open Access   (Followers: 2)
Green Energy & Environment     Open Access   (Followers: 2)
Materials Today Energy     Hybrid Journal   (Followers: 2)
Energy Storage     Hybrid Journal   (Followers: 2)
Journal of Technology Innovations in Renewable Energy     Hybrid Journal   (Followers: 2)
Journal of Ocean Engineering and Marine Energy     Hybrid Journal   (Followers: 2)
International Journal of Smart Grid and Green Communications     Hybrid Journal   (Followers: 2)
IET Smart Grid     Open Access   (Followers: 2)
Carbon Resources Conversion     Open Access   (Followers: 2)
Advanced Materials Technologies     Hybrid Journal   (Followers: 2)
Journal of Energy     Open Access   (Followers: 2)
International Journal of Nuclear Knowledge Management     Hybrid Journal   (Followers: 2)
Proceedings of the Institution of Civil Engineers - Energy     Hybrid Journal   (Followers: 2)
EPJ Photovoltaics     Open Access   (Followers: 2)
International Journal of Clean Coal and Energy     Open Access   (Followers: 2)
Progress in Nuclear Energy     Hybrid Journal   (Followers: 2)
Journal of Fusion Energy     Hybrid Journal   (Followers: 2)
Gcb Bioenergy     Open Access   (Followers: 2)
Science and Technology for Energy Transition     Open Access   (Followers: 2)
Journal of Energy in Southern Africa     Open Access   (Followers: 2)
Journal of Alternate Energy Sources & Technologies     Full-text available via subscription   (Followers: 2)
Journal of Nuclear Energy Science & Power Generation Technology     Hybrid Journal   (Followers: 2)
Sustainable Energy & Fuels     Hybrid Journal   (Followers: 1)
International Journal of Energy and Smart Grid     Open Access   (Followers: 1)
International Journal of Nuclear Hydrogen Production and Applications     Hybrid Journal   (Followers: 1)
Clean Technologies     Open Access   (Followers: 1)
Energy Conversion and Management : X     Open Access   (Followers: 1)
IET Energy Systems Integration     Open Access   (Followers: 1)
Radioprotection     Hybrid Journal   (Followers: 1)
Electricity Journal     Hybrid Journal   (Followers: 1)
International Journal of Nuclear Desalination     Hybrid Journal   (Followers: 1)
Michigan Journal of Sustainability     Open Access   (Followers: 1)
Clefs CEA     Full-text available via subscription   (Followers: 1)
Journal of Computational Multiphase Flows     Open Access   (Followers: 1)
International Journal of Power and Energy Conversion     Hybrid Journal   (Followers: 1)
Technology Audit and Production Reserves     Open Access   (Followers: 1)
International Journal of Coal Science & Technology     Open Access   (Followers: 1)
Nigerian Journal of Technological Research     Full-text available via subscription   (Followers: 1)
Open Journal of Energy Efficiency     Open Access   (Followers: 1)
Asian Bulletin of Energy Economics and Technology     Open Access   (Followers: 1)
Biofuel Research Journal     Open Access   (Followers: 1)
International Journal of Energy and Water Resources     Hybrid Journal  
BioPhysical Economics and Resource Quality     Hybrid Journal  
Geomechanics and Geophysics for Geo-Energy and Geo-Resources     Hybrid Journal  
Energy, Ecology and Environment     Hybrid Journal  
Technology and Economics of Smart Grids and Sustainable Energy     Hybrid Journal  
BMC Energy     Open Access  
Journal of Energy and Environment Technology of Graduate School Siam Technology College     Open Access  
Global Energy Interconnection     Open Access  
Journal of Energy Systems     Open Access  
International Journal of Energy & Engineering Sciences     Open Access  
Turkish Journal of Energy Policy     Open Access  
Energy Informatics     Open Access  
Global Challenges     Open Access  
High Voltage     Open Access  
Geomechanics for Energy and the Environment     Full-text available via subscription  
ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations     Open Access  
Sustainable Energy Technologies and Assessments     Full-text available via subscription  
Journal of China Coal Society     Open Access  
Facta Universitatis, Series : Electronics and Energetics     Open Access  
Universal Journal of Applied Science     Open Access  
Ingeniería Energética     Open Access  
E3S Web of Conferences     Open Access  
Washington and Lee Journal of Energy, Climate, and the Environment     Open Access  
Journal of Sustainable Bioenergy Systems     Full-text available via subscription  
International Journal of Ambient Energy     Hybrid Journal  
CT&F - Ciencia, Tecnología y Futuro     Open Access  
Multequina     Open Access  
Natural Resources     Open Access  
South Pacific Journal of Natural and Applied Sciences     Hybrid Journal  
Chain Reaction     Full-text available via subscription  
Wind Engineering     Hybrid Journal  
Nuclear Data Sheets     Full-text available via subscription  
Global Energy Law and Sustainability     Hybrid Journal  
International Journal of Nuclear Governance, Economy and Ecology     Hybrid Journal  

        1 2 | Last

Similar Journals
Journal Cover
Frontiers in Energy Research
Journal Prestige (SJR): 1.109
Citation Impact (citeScore): 4
Number of Followers: 5  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2296-598X
Published by Frontiers Media Homepage  [96 journals]
  • A State-of-Charge-Based Flexible Synthetic Inertial Control Strategy of
           Battery Energy Storage Systems

    • Authors: Feng You, Xiuli Si, Rong Dong, Dong Lin, Yien Xu, Yiming Xu
      Abstract: Power systems would face issues in system frequency stability when high scales of variable renewable energy generation are integrated in them. Battery energy storage systems (BESSs) with advanced control capability and rapid control response have become a countermeasure to solve the issues in system frequency stability. This research addresses a flexible synthetic inertial control strategy of the BESS to enhance the dynamic system frequency indices including the frequency nadir, settling frequency, and rate of change of the system frequency. To this end, the control loops based on the frequency excursion and rate of change of the system frequency are implemented into the d-axis controller of the BESS. The adaptive control coefficient of both control loops could be adjusted according to the instantaneous state of charge (SOC) so that it can inject more power to the grid at a higher SOC. The benefits of the proposed combined inertial control strategy are investigated with various sizes of disturbance and SOCs of the BESSs. Results successfully illustrate that the proposed combined inertial control strategy of the BESS is capable of enhancing the system frequency stability so as to promote variable renewable energy accommodation.
      PubDate: 2022-05-25T00:00:00Z
  • Review on Evolution of Intelligent Algorithms for Transformer Condition

    • Authors: Jian Wang, Xihai Zhang, Fangfang Zhang, Junhe Wan, Lei Kou, Wende Ke
      Abstract: Transformers are playing an increasingly significant part in energy conversion, transmission, and distribution, which link various resources, including conventional, renewable, and sustainable energy, from generation to consumption. Power transformers and their components are vulnerable to various operational factors during their entire life cycle, which may lead to catastrophic failures, irreversible revenue losses, and power outages. Hence, it is crucial to investigate transformer condition assessment to grasp the operating state accurately to reduce the failures and operating costs and enhance the reliability performance. In this context, comprehensive data mining and analysis based on intelligent algorithms are of great significance for promoting the comprehensiveness, efficiency, and accuracy of condition assessment. In this article, in an attempt to provide and reveal the current status and evolution of intelligent algorithms for transformer condition assessment and provide a better understanding of research perspectives, a unified framework of intelligent algorithms for transformer condition assessment and a survey of new findings in this rapidly-advancing field are presented. First, the failure statistics analysis is outlined, and the developing mechanism of the transformer internal latent fault is investigated. Then, in combination with intelligent demands of the tasks in each stage of transformer condition assessment under big data, we analyze the data source in-depth and redefine the concept and architecture of transformer condition assessment. Furthermore, the typical methods widely used in transformer condition assessment are mainly divided into rule, information fusion, and artificial intelligence. The new findings for intelligent algorithms are also elaborated, including differentiated evaluation, uncertainty methods, and big data analysis. Finally, future research directions are discussed.
      PubDate: 2022-05-25T00:00:00Z
  • Parameter Identification of Electromechanical Oscillation Mode in Power
           Systems Driven by Data: A Quasi-Real-Time Method Based on
           Randomized-DMD-Multilayer Artificial Neural Networks

    • Authors: Guowei Cai, Shujia Guo, Cheng Liu
      Abstract: With the increase in the power system scale, the identification of electromechanical oscillation mode parameters by traditional numerical methods can no longer meet the requirements of complete real-time analysis. Therefore, a method based on machine learning (multilayer artificial neural networks) is proposed to identify the electromechanical oscillation mode parameters of the power system. This method can take the monitorable variables of the WAMS as the input of the model and the key characteristic information such as frequency and damping ratio as the output. After processing the input and output data with randomized dynamic mode decomposition (randomized-DMD), their mapping relationship can be analyzed by using the multilayer neuron architecture. The simulation results of the 4-generator 2-area system and the IEEE 16-generator 5-area system show that this method can accurately calculate the key characteristic parameters of the system without considering the change in the control parameters and after the offline training of historical data, which shows higher accuracy, stronger robustness, and sensitive online tracking ability.
      PubDate: 2022-05-25T00:00:00Z
  • An Active State of Charge Balancing Method With LC Energy Storage for
           Series Battery Pack

    • Authors: Xiaozhuo Xu, Cheng Xing, Qi Wu, Wei Qian, Yunji Zhao, Xiangwei Guo
      Abstract: To reduce the impact of series battery pack inconsistency on energy utilization, an active state of charge (SOC) balancing method based on an inductor and capacitor is proposed. Only one inductor and one capacitor can achieve a direct transfer of balanced energy between the highest power cell and the lowest power cell. This method has the characteristics of a simple structure, small size, simple control, fast balancing speed, and low topology cost. First, the topology, working principle, parameter design, and control strategy of the proposed balancing method are explained. Second, the characteristics of the speed and efficiency are analyzed through the simulation models, and the advantages of its low topology cost and simple control are explained. Finally, by building an experimental platform for a four-cell series battery pack, the effectiveness of the new balancing method in the charging/discharging process and the dynamic process of the battery pack is verified. After the end of the balancing, the SOC difference is less than 4%.
      PubDate: 2022-05-25T00:00:00Z
  • A Study of Dynamic Equivalence Method for Multiple Wind Farms in Urban
           Power Grids

    • Authors: Lin Zhu, Shiyu Huang, Zhigang Wu, Yonghao Hu, Mengjun Liao, Min Xu
      Abstract: As the number of wind farms (WFs) in urban power grids gradually increases, their dynamic equivalence is needed for stability analysis. This paper proposes a dynamic equivalence method for distributed multiple wind farms in an urban power grid. The key idea is to characterize wind farms dynamics and then use them for coherence by considering the differences between doubly-fed induction generators (DFIG) and permanent magnet direct-drive synchronous generators (PMSG). The mathematical-physical models and operational control characteristics are firstly analyzed to find the essential attributes representing the dynamic characteristics. Then we introduce the similarity based on the dynamic timing warping (DTW) distances, which help construct the clustering index for coherency wind farms. Meanwhile, comprehensive constraints, which ensure the consistency of the urban power grid topology, are adequately considered. Finally, the parameters of coherent wind farms are aggregated based on the clustering groups. The proposed method is validated in an urban grid by the time-domain simulation.
      PubDate: 2022-05-25T00:00:00Z
  • A Review on the Rural Household Energy in China From 1990s—Transition,
           Regional Heterogeneity, Emissions, Energy-Saving, and Policy

    • Authors: Xinxin Zhang, Kaili Xu, Maogang He, Jingfu Wang
      Abstract: Rural energy is related to the domestic energy supply, consumption, and improvement of living standards of more than one-third of the population in China. In the “14th Five-Year Plan,” it has been clearly pointed out that it is necessary to strengthen the clean utilization of coal and implement the construction of rural clean energy projects. At present, the energy consumption structure of rural areas in China is transiting from traditional solid energy to commercial energy and clean energy. Based on this background, this paper reviews the transition trend, influencing factors, and regional differences of China’s rural household energy consumption structure from the 1990s. Taking into account China’s goal of carbon peaking by 2030 and carbon neutrality by 2060, carbon dioxide and pollutant emissions generated in the process of energy consumption and the energy-saving potential of rural households are analyzed and discussed. Moreover, the evolution of rural energy policies in China is presented and related proposals are also made. This review aims to provide reference for relevant researchers and policy makers.
      PubDate: 2022-05-25T00:00:00Z
  • A Modelling Study of Post-Combustion Capture Plant Process Conditions to
           Facilitate 95–99% CO2 Capture Levels From Gas Turbine Flue Gases

    • Authors: Stavros Michailos, Jon Gibbins
      Abstract: The principal purpose of this study is to examine the changes in process conditions that might be needed to achieve up to 99% capture levels in amine post-combustion capture (PCC) plants for combined cycle gas turbine (CCGT) flue gases. This information is of interest since, while 95% capture is adequate for current market and regulatory conditions, net zero fossil emissions (99% capture for a CCGT plant) will be required to deliver global climate mitigation targets and is increasingly a target for national climate policies. The conventionally-configured plant in the study is based on FEED studies carried out by Bechtel Corporation and uses MEA at 35% w/w. Performance modelling is undertaken using the Aspen Plus CCSI MEA Steady State Model. The results show that efficient operation at higher capture levels appears to be feasible with minimal adjustments to the plant configuration, provided that the absorber has a sufficient packing height and the stripper is capable of operation at pressures above 2 bar. The study primarily focuses on operation at low lean loadings (0.09–0.15 molCO2/molMEA) and correspondingly low L/G ratios (
      PubDate: 2022-05-24T00:00:00Z
  • A New Test for Ridge Wind Directional Data Under Neutrosophic Statistics

    • Authors: Muhammad Aslam, Ali Hussein Al-Marshadi
      Abstract: The statistical tests under classical statistics can be only applied when the data is linear and has certain observations. The existing statistical tests cannot be applied for circular/angles data. In this paper, the Watson-Williams test under neutrosophic is introduced to analyze having uncertain, imprecise, and indeterminate circular/angles data. The neutrosophic test statistic is introduced and applied to wind direction data. From the real example and simulation study, it can be concluded the proposed neutrosophic Watson-Williams test performs better than the Watson-Williams test under classical statistics.
      PubDate: 2022-05-24T00:00:00Z
  • How Does Environmental Regulation Affect Green Innovation' A
           Perspective From the Heterogeneity in Environmental Regulations and

    • Authors: Zhenling Chen, Xiaoyan Niu, Xiaofang Gao, Huihui Chen
      Abstract: Green (technical) innovation is expected to be an effective tool for addressing environmental crises. However, the effect of environmental regulations on green innovation may depend on the type of environmental regulation. To that end, this study utilizes panel data covering 30 Chinese provinces to explore the mechanism underlying the relationship between these two variables in light of the heterogeneity in environmental regulations and pollutants. The direct effects of three types of environmental regulations and four pollutants are verified, as are the thresholds in the effects of environmental regulations on green innovation. The results show that 1) both market-incentive and public participation-based environmental regulations have positive effects on green innovation, while command-and-control regulations do not. Unlike the effects of the market-incentive tool, which has a single threshold, the effect of public participation-based environmental regulations has two thresholds, which indicates that there is too little public participation for such regulations to be effective and too much for them to be sensitive to environmental protection. 2) Three of the four pollutants (industrial wastewater, waste gas, and carbon emissions) have a significantly positive impact on green innovation only when they exceed the first threshold value, whereas an increase in industrial solid waste has little effect on green innovation until it exceeds the second threshold value. 3) In the eastern region, all three kinds of environmental regulations play significant roles in promoting green innovation, and their effects are greater than those in the western region. However, the effect of environmental regulations in the central region is not different from that in the western region.
      PubDate: 2022-05-24T00:00:00Z
  • Intelligent Command Filter Design for Strict Feedback Unmodeled Dynamic
           MIMO Systems With Applications to Energy Systems

    • Authors: Xuxiang Feng, Lu Shi, Yumeng Zhang
      Abstract: This study presents a command filtered control scheme for multi-input multi-output (MIMO) strict feedback nonlinear unmodeled dynamical systems with its applications to power systems. To deal with dynamic uncertainties, a dynamic signal is introduced, together with radial basis function neural networks (RBFNNs) to overcome the influences of the dynamic uncertainties. Command filters (CFs) are used to prevent the explosion of complexity, where the compensating signals can eliminate the effect of filter errors. Compared with single-input single-output strict feedback nonlinear systems, the method proposed in this study has more suitability. In the end, the simulation experiments are carried out by applying the developed algorithm to power systems, where the simulation results verify the efficacy of the approach proposed.
      PubDate: 2022-05-24T00:00:00Z
  • Optimal Peak Regulation Strategy of Virtual and Thermal Power Plants

    • Authors: Peng Li, Yuanfeng Chen, Kang Yang, Ping Yang, Jingyi Yu, Senjing Yao, Zhuoli Zhao, Chun Sing Lai, Ahmed F. Zobaa, Loi Lei Lai
      Abstract: To achieve the national carbon-peak and carbon-neutral strategic development goals, it is necessary to build power systems dominated by renewable and sustainable energy. The future power system with a high proportion of renewable and sustainable energy is required to have large-scale, low-cost, flexible, and adjustable resources. To this end, this article aggregates user-side distributed energy storage and electric vehicles into a virtual power plant, considering the uncertainty of wind power fluctuations and the uncertainty of electric vehicle charging and discharging to establish a day-ahead and intra-day peak regulation model for combined peak regulation of virtual and thermal power plants. The bounding algorithm seeks the optimal strategy for the two-stage model of joint peak regulation and obtains the day-ahead and intra-day two-stage optimal peak regulation strategy. The simulation example shows that the virtual power plant and its day-ahead and intra-day optimal peak regulation strategy can reduce the peak regulation cost of the power system, as compared with the deep peak regulation of thermal power plants with a special supporting energy storage power station. This work provides a global perspective for virtual power plants to participate in the formulation of power system peak regulation rules.
      PubDate: 2022-05-24T00:00:00Z
  • Optimal Allocation of Emergency Repair Resources for Producer–Consumer
           Communities Considering Fault Risk Classification and Emergency Repair
           Response Capability

    • Authors: Donghua Mao, Jinyi Qiu
      Abstract: With the construction of new power systems, distributed power sources are connected in large numbers and the possibility of faults increases. The optimal allocation of repair resources is important to improve the fault management efficiency and the quality of power supply services in the producer–consumer community. Using a large number of historical fault resources accumulated in the producer–consumer community, we first preprocess the fault information by the rough set theory, then establish an optimal allocation model that minimizes the total fault loss, consider fault risk classification and repair response capability, and finally use the improved gray wolf optimization algorithm to perform the optimal calculation. To address the problems of the traditional gray wolf algorithm, tent mapping is introduced in the generation of the initial population to enhance the uniformity of the initial population. The cooperative competition mechanism is introduced to improve the utilization of effective information among individuals. Finally, the feasibility and superiority of the algorithm are verified through the analysis of calculation cases. Finally, the feasibility of this configuration method is verified through the analysis of arithmetic cases.
      PubDate: 2022-05-24T00:00:00Z
  • Editorial: Advanced Technology in Thermal Management of Battery/Electronic

    • Authors: Cong Qi, Xuehui Wang
      PubDate: 2022-05-24T00:00:00Z
  • Multisource Heterogenous Data Fusion for Fault Identification of Buried

    • Authors: Yifang Jin, Baling Fang, Ziqi Da, Shanhe Huang, Chengxin Zhao
      PubDate: 2022-05-24T00:00:00Z
  • Prediction of Drag Reduction in Slickwater Fracturing by Two General

    • Authors: Pengfei Chen, Honggang Chang, Yongqiang Fu, Yongfan Tang, Xuesong Huang, Weichu Yu
      Abstract: Drag reduction (DR) is critical to the success of hydraulic fracturing operations with slickwater, and it is a challenge to accurately predict DR due to the problem of high injection rates. Although a practical pipe diameter model is frequently used to predict the field DR based on laboratory experimental data, there exist many limitations. This study, on account of dynamic similarity, shows two novel general models for the prediction of field DR, and such two models can give reliable predictions when the laboratory and field Reynolds numbers (Re) are the same. For general model 1, the DR can be predicted by using the laboratory volumetric flow rate, pipe diameter and pressure drop, and the field volumetric flow rate, with a deviation ranging from −10 to 10%. For general model 2, it is simpler than general model 1, and the DR can be predicted by using the laboratory pipe diameter and the field volumetric flow rate, with a deviation ranging from −6 to 6%. The two novel general models can be used for more scenarios than the existing reported ones.
      PubDate: 2022-05-24T00:00:00Z
  • Multi-Agent Schedule Optimization Method for Regional Energy Internet
           Considering the Improved Tiered Reward and Punishment Carbon Trading Model

    • Authors: Tianxiang Li, Qian Xiao, Hongjie Jia, Yunfei Mu, Xinying Wang, Wenbiao Lu, Tianjiao Pu
      Abstract: Regional energy internet (REI) contains massive market agents, whose interests and objectives vary from each other. In consequence, it is challenging to stimulate the energy conservation and emissions reduction participation of each agent by the conventional schedule optimization method. This paper proposes a multi-agent schedule optimization method for REI considering the improved tiered reward and punishment carbon trading model. Firstly, the energy flow constraints and device constraints of REI are established. Secondly, to tighten restrictions on carbon emissions, the relative carbon emission is used as the criterion to establish the improved tied reward and punishment carbon trading model. Next, to analyze the real multi-agent game situation in the market, different agents are classified, and the objective functions are defined based on their revenue. Finally, a two-layer algorithm is used to solve the above multi-agent model. Simulation results verify that the proposed method can effectively reduce carbon emissions and significantly enhance the revenue of the region.
      PubDate: 2022-05-24T00:00:00Z
  • Layered P2-NaxMn3/4Ni1/4O2 Cathode Materials For Sodium-Ion Batteries:
           Synthesis, Electrochemistry and Influence of Ambient Storage

    • Authors: Lukas Fridolin Pfeiffer, Nicola Jobst, Cornelius Gauckler, Mika Lindén, Mario Marinaro, Stefano Passerini, Margret Wohlfahrt-Mehrens, Peter Axmann
      Abstract: Sodium-ion batteries promise efficient, affordable and sustainable electrical energy storage that avoids critical raw materials such as lithium, cobalt and copper. In this work, a manganese-based, cobalt-free, layered NaxMn3/4Ni1/4O2 cathode active material for sodium-ion batteries is developed. A synthesis phase diagram was developed by varying the sodium content x and the calcination temperature. The calcination process towards a phase pure P2-Na2/3Mn3/4Ni1/4O2 material was investigated in detail using in-situ XRD and TGA-DSC-MS. The resulting material was characterized with ICP-OES, XRD and SEM. A stacking fault model to account for anisotropic broadening of (10l) reflexes in XRD is presented and discussed with respect to the synthesis process. In electrochemical half-cells, P2-Na2/3Mn3/4Ni1/4O2 delivers an attractive initial specific discharge capacity beyond 200 mAh g−1, when cycled between 4.3 and 1.5 V. The structural transformation during cycling was studied using operando XRD to gain deeper insights into the reaction mechanism. The influence of storage under humid conditions on the crystal structure, particle surface and electrochemistry was investigated using model experiments. Due to the broad scope of this work, raw material questions, fundamental investigations and industrially relevant production processes are addressed.
      PubDate: 2022-05-24T00:00:00Z
  • Cobalt Demand for Automotive Electrification in China: Scenario Analysis
           Based on the Bass Model

    • Authors: Qing Shi
      Abstract: With accelerating automotive electrification process, quantitative analysis of cobalt demand becomes a critical issue in China. How much cobalt is expected to be needed from 2021 to 2030 to support a smooth automotive electrification in China' This study aims to answer this question comprehensively by examining the responses of annual cobalt demand to variations in electric vehicle sales, battery capacity factors, and cobalt substitution effects, which has not been fully explored in previous literature. Scenario analysis based on the Bass model is adopted and historical data from 2012 to 2020 are used for this study. The results show that 1) the peak annual cobalt demand will reach 35.58–126.97 kt/year during 2021–2030; 2) cobalt demand is expected to decline by 14.29% if the market share of ternary lithium-ion battery decreases by 10%; 3) while cobalt substitution can reduce the demand substantially, it cannot offset the growth of cobalt demand driven by the increasing EV sales and battery capacity. These results provide a knowledge base for policy suggestions to manage the cobalt demand—supply balance in China better.
      PubDate: 2022-05-24T00:00:00Z
  • Optimal Transmission Switching Based on Analytical Target Cascading

    • Authors: Benxin Li, Xuan Zhang, Yumin Zhang, Yixiao Yu, Ying Zang, Xueqing Zhang
      Abstract: The penetration of a high proportion of renewable energy sources (RES) into the power grid intensifies the source–load imbalance, which greatly weakens the network transmission performance and power supply quality, and the effect of relying only on individual regulation within the region is negligible. To enhance the capacity of interconnection and coordination among different areas of power systems and improve the accommodation level of RES and low-carbon efficiency, an optimal transmission switching model based on the bus tearing method is proposed in this article. Firstly, the complex power system is decomposed based on the bus tearing method, and thus, the interconnected power grid structure of the multiarea system is constructed. Secondly, the optimal model of interconnected power grid decomposition and coordination structure considering renewable energy generation is constructed, based on exquisite modeling, to reduce the difficulty of unified analysis and decision-making of the multiarea interconnected power system, and the expression of the model is simplified in the form of the matrix. Then, the analytical target cascading (ATC) method is used to decouple the complex model from the main problem and subproblem and solve the distributed parallel problem, to understand the optimization of the decomposition and coordination structure of the interconnected power grid with source–load coordination. Finally, based on the case studies of the IEEE 14-bus system and IEEE 118-bus system, the effectiveness of the proposed model and method is verified, the coordinated operation of the interconnected power grid and the optimal allocation of network resources are achieved, and the economy of power system operation is improved.
      PubDate: 2022-05-23T00:00:00Z
  • Energy Management and Pricing Strategy of Building Cluster Energy System
           Based on Two-Stage Optimization

    • Authors: Lifei Ma, Jizhen Liu, Qinghua Wang
      Abstract: With the application of advanced information and communication technology in building cluster energy system (BCES), energy management based on two-way interaction has become an effective method to improve its operation efficiency. BCES can quickly respond to the mismatch between supply and demand by adjusting flexible load and system operation strategy, which can improve operation reliability and reduce energy cost. This paper proposes an energy management and pricing framework of BCES based on two-Stage optimization method. First, on the basis of profit-seeking modeling of energy service provider (ESP) and building clusters (BCs), a dynamic pricing decision-making framework for energy management in a hierarchical energy market is proposed, which considers both ESP’s energy supply income and BCs’ comprehensive benefit. The dynamic pricing problem is formulated as a discrete finite Markov decision process (MDP), and Q-learning algorithm is adopted to solve the MDP problem. Moreover, an operation optimization model of the BCES based on the obtained optimal price decision is established, and the established model is solved by the alternating direction multiplier method algorithm (ADMM). Through numerical simulation case studies, it is demonstrated that the proposed method can achieve the optimal pricing decision-making closer to the psychological needs of ESP and BCs, and can significantly reduce the cost of BCs and improve the operational efficiency of BCES.
      PubDate: 2022-05-23T00:00:00Z
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Heriot-Watt University
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