Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This study aims to short-therm forecasting of power generation output for this purpose, an adaptive neuro-fuzzy inference system (ANFIS) is designed to forecast the output power of power plant based on climate factors considering wind speed and wind direction simultaneously. Design/methodology/approach Several methods and algorithms have been proposed for systems forecasting in various fields. One of the strongest methods for modeling complex systems is neuro-fuzzy that refers to combinations of artificial neural network and fuzzy logic. When the system becomes more complex, the conventional algorithms may fail for network training. In this paper, an integrated approach, including ANFIS and metaheuristic algorithms, is used for increasing forecast accuracy. Findings Power generation in power plants is dependent on various factors, especially climate factors. Operating power plant in Iran is very much influenced because of climate variation, including from tropical to subpolar, and severely varying temperature, humidity and air pressure for each region and each season. On the other hands, when wind speed and wind direction are used simultaneously, the training process does not converge, and the forecasting process is unreliable. The real case study is mentioned to show the ability of the proposed approach to remove the limitations. Originality/value First, ANFIS is applied for forecasting based on climate factors, including wind speed and wind direction, that have rarely been used simultaneously in previous studies. Second, the well-known and more widely used metaheuristic algorithms are applied to improve the learning process for forecasting output power and compare the results. Citation: International Journal of Energy Sector Management PubDate: 2019-03-21T03:20:58Z DOI: 10.1108/IJESM-09-2018-0015
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This study aims to investigate the risk factors in construction projects in oil and gas processing facilities in Yemen and serves as a case study for developing countries. Design/methodology/approach By using a questionnaire, data were collected from 201 project managers and engineers employed in different sectors in the oil and gas industry in Yemen. Findings The survey analysis based on Kruskal–Wallis test method shows a high degree of agreement on the perceptions of risk factors depending on categories of companies. In other words, the tested risk factors exist in all sectors of oil companies in Yemen and are valid as a measure of risk factors in construction projects in oil and gas organizations in general. Although no evidence suggests that the risk factors differ significantly according to job title, the result of identifiable risk factors according to experience shows a statistically significant difference among participants in terms of their experience. The relative importance of the ranking of risk factors was obtained by the statistical analysis of responses on the impact and likelihood of occurrence of these risks. Findings show that internal risks are the greatest influential factors in construction projects in the oil and gas sector, followed by changes during construction project, government instability, incorrect project cost estimation, government delay in decision making, incorrect project schedule estimation, and political situation and war in the country. Originality/value These findings are valuable to organizations that are planning to conduct construction projects for oil and gas processing facilities in Yemen and other nations with similar environments, such as developing countries. Citation: International Journal of Energy Sector Management PubDate: 2019-03-13T10:53:27Z DOI: 10.1108/IJESM-11-2018-0002
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This paper aims to shed light on how offshore wind park business networks can orchestrate dynamic capabilities to enable innovation for the competitive advantage of renewable offshore wind energy. Design/methodology/approach The research is based on a qualitative multiple-case study of operation and maintenance activities in offshore wind parks, starting in June 2014 with a pilot qualitative case study and the main qualitative multiple-case research conducted via in-depth interviews with 20 enterprises. The preliminary findings were presented for the qualitative triangulation of comments in a seminar in May 2015. Findings The findings explain the need for collaboration across the business network through the use of an open innovation platform for orchestrating dynamic signature capabilities in combination with ordinary capabilities. Both locally distributed leadership and central leadership in knowledge creation are necessary ingredients. The model developed from the research findings shows the need to change the competitive advantage criteria within business networks to VRIS (valuable, rare, imitable, substitutable) in contrast to the traditional criteria for individual enterprises of VRIN (valuable, rare, imperfectly imitable, non-substitutable). Research limitations/implications The research is focused on offshore wind park business networks, and therefore, the generalizability of this qualitative case study to other contexts can be limited. Further research is thus needed to verify the findings. Originality/value A three-fold contribution is made to the understanding of the integrated combination of orchestrating dynamic capabilities in the offshore wind energy sector. Business networks, academia and policy bodies are given a model for enacting the competitive advantage of renewable offshore wind energy for the benefit of society. Citation: International Journal of Energy Sector Management PubDate: 2019-03-12T12:04:07Z DOI: 10.1108/IJESM-09-2018-0005
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This study aims to investigate the stationarity and convergence of CO2 emissions series in MENA countries. The stationarity and unit root properties of per capita carbon dioxide (CO2) emissions series are explored by an increasing amount of studies, which use different methodologies. Examining the time series properties of energy and environmental series is crucial for both researchers and the policymakers, given the close link between energy, environment and the real economy. In fact, if energy exhibits the presence of a unit root, this suggests that this series does not revert to its equilibrium level after being hit by a shock. Design/methodology/approach The contribution of this work is twofold. First, to the author’s knowledge, a very little attention has been paid to the topics of stationarity and convergence of CO2 emissions in the case of Middle East and North Africa (MENA) member states, especially in a panel context. Convergence analyses of CO2 emissions for MENA countries can improve the knowledge of energy and environmental scenario of the area, giving some ideas for appropriate future policies. Second, this is the first study that jointly analyzed time series and panel data properties of emissions series for these countries. Findings The author finds that relative per capita CO2 emissions in the 19 MENA countries are a mixture of I(0) and I(1) processes and there is a weak evidence to support the stationarity of CO2 emissions. After having verified the presence of cross-sectional dependence in the series, the panel unit root tests in presence of cross-section dependence show strong evidence in favor of non-stationarity. In addition, after performing tests for ß-convergence, it is also found that per capita CO2 emissions are converging on average in 11 out of 19 sample’s countries, while s-convergence analysis reveals that the variance of per capita CO2 emissions decreased over time, which is an indication of convergence. Originality/value Important policy implications emerge from the empirical results. Sustainable environmental and energy policies rely heavily on the CO2 series’ properties. In this regard, determining whether shocks to CO2 emissions are permanent or transitory is important for setting feasible goals for sustainable environmental policies. Given that per capita CO2 emissions are essentially associated with a quality of life, the issues of their reduction have been the leading agenda in energy and environmental management over the past two decades. Citation: International Journal of Energy Sector Management PubDate: 2019-03-12T03:23:23Z DOI: 10.1108/IJESM-09-2018-0008
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The purpose of this paper is to solve economic emission dispatch problem in connection of wind with hydro-thermal units. Design/methodology/approach The proposed hybrid methodology is the joined execution of both the modified salp swarm optimization algorithm (MSSA) with artificial intelligence technique aided with particle swarm optimization (PSO) technique. Findings The proposed approach is introduced to figure out the optimal power generated power from the thermal, wind farms and hydro units by minimizing the emission level and cost of generation simultaneously. The best compromise solution of the generation power outputs and related gas emission are subject to the equality and inequality constraints of the system. Here, MSSA is used to generate the optimal combination of thermal generator with the objective of minimum fuel and emission objective function. The proposed method also considers wind speed probability factor via PSO-artificial neural network (ANN) technique and hydro power generation at peak load demand condition to ensure economic utilization. Originality/value To validate the advantage of the proposed approach, six- and ten-units thermal systems are studied with fuel and emission cost. For minimizing the fuel and emission cost of the thermal system with the predicted wind speed factor, the proposed approach is used. The proposed approach is actualized in MATLAB/Simulink, and the results are examined with considering generation units and compared with various solution techniques. The comparison reveals the closeness of the proposed approach and proclaims its capability for handling multi-objective optimization problems of power systems. Citation: International Journal of Energy Sector Management PubDate: 2019-03-06T04:36:38Z DOI: 10.1108/IJESM-07-2018-0015
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The purpose of this paper is to predict the amount of energy consumption by using a suitable statistical method in some sectors and energy carriers, which has shown a significant correlation with greenhouse gas emissions. Design/methodology/approach After studying the correlation between energy consumption rates in different sectors of energy consumption and some energy carriers with greenhouse gas distribution (CO2, SO2, NOX and SPM), the most effective factors on pollution emission will be first identified and then predicted for the next 20 years (2015 to 2004). Furthermore, to determine the appropriate method for forecasting, two approaches titled “trend analysis” and “double exponential smoothing” will be applied on data, collected from 1967 to 2014, and their capabilities in anticipating will be compared to each other contributing MSD, MAD, MAPE indices and also the actual and projected time series comparison. After predicting the energy consumption in the sectors and energy carriers, the growth rate of consumption in the next 20 years is also calculated. Findings Correlation study shows that four energy sectors (industry sector, agriculture, transportation and household-general-commercial) and two energy carriers (electricity and natural gas) have shown remarkable correlation with greenhouse gas emissions. To predict the energy consumption in mentioned sectors and carriers, it is proven that double exponential smoothing method is more capable in predicting. The study shows that among the demand sectors, the industry will account for the highest consumption rate. Electricity will experience the highest rate among the energy careers. In fact, producing this amount of electricity causes emissions of greenhouse gases. Research limitations/implications Access to the data and categorized data was one of the main limitations. Practical implications By identifying the sectors and energy carriers that have the highest consumption growth rate in the next 20 years, it can be said that greenhouse gas emissions, which show remarkable correlation with these sectors and carriers, will also increase dramatically. So, their stricter control seems to be necessary. On the other hand, to control a particular greenhouse gas, it is possible to focus on the amount of energy consumed in the sectors and carriers that have a significant correlation with this pollutant. These results will lead to more targeted policies to reduce greenhouse gas emissions. Social implications The tendency of communities toward industrialization along with population growth will doubtlessly lead to more consumption of fossil fuels. An immediate aftermath of burning fuels is greenhouse gas emission resulting in destructive effects on the environment and ecosystems. Identifying the factors affecting the pollutants resulted from consumption of fossil fuels is significant in controlling the emissions. Originality/value Such analyses help policymakers make more informed and targeted decisions to reduce greenhouse gas emissions and make safer and more appropriate policies and investment. Citation: International Journal of Energy Sector Management PubDate: 2019-03-06T04:32:45Z DOI: 10.1108/IJESM-08-2018-0002
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The current study aims to propose a new analytical approach by considering energy consumption (EC), maximum tardiness and completion time as the primary objective functions to assess the performance of parallel, non-bottleneck and multitasking machines operating in dynamic job shops. Design/methodology/approach An analytical and iterative method is presented to optimize a novel dynamic job shop under technical constraints. The machine’s performance is analyzed by considering the setup energy. An optimization model from initial processing until scheduling and planning is proposed, and data sets consisting of design parameters are fed into the model. Findings Significant variations of EC and tardiness are observed. The minimum EC was calculated to be 141.5 hp.s when the defined decision variables were constantly increasing. Analysis of the optimum completion time has shown that among all studied methods, first come first served (FCFS), earliest due date (EDD) and shortest processing time (SPT) have resulted in the least completion time with a value of 20 s. Originality/value Considerable amount of energy can be dissipated when parallel, non-bottleneck and multitasking machines operate in lower-power modes. Additionally, in a dynamic job shop, adjusting the trend and arrangement of decision variables plays a crucial role in enhancing the system’s reliability. Such issues have never caught the attention of scientists for addressing the aforementioned problems. Therefore, with these underlying goals, this paper presents a new approach for evaluating and optimizing the system’s performance, considering different objective functions and technical constraints. Citation: International Journal of Energy Sector Management PubDate: 2019-02-22T10:37:15Z DOI: 10.1108/IJESM-11-2018-0005
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This paper aims to analyze the economic viability of jatropha plantation in North East India. Design/methodology/approach Economic viability is measured through the net present value and the benefit–cost ratio (BCR) at four different production standards along with four different prices of jatropha seed. Findings At a very low price and small production, jatropha plantation is economically not feasible. However, when the price of seed increases from INR 5 to 8, BCRs become greater than 1, provided that the discount rate is less than equal to 8 per cent. The minimum threshold of BCR indicates that the threshold of 1.5 BCR at a production level of 1.5 tons/ha can be achieved with a combination of seed price of INR 10 per kg and a discount rate of 1 to 3 per cent. Thus, jatropha cultivation is economically viable but not highly profitable. Research limitations/implications Present study analyzes the economic viability of jatropha plantation from purely financial point of view. Social cost and benefit of energy crop plantation is not included in the study. This suggests to adopt social cost–benefit analysis to evaluate the overall feasibility of plantation crops in future studies. Originality/value This paper contributes to the academic literature of economic viability of energy plantation crops. Economic viability of jatropha plantation is shown in different cost and revenue conditions with statistical evidences. Citation: International Journal of Energy Sector Management PubDate: 2019-02-15T11:37:47Z DOI: 10.1108/IJESM-11-2018-0009
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This paper aims to analyse the key trends in oil delivery and production and evaluate the capacities of crude oil transportation systems in the Western European region. Design/methodology/approach To meet these goals, qualitative data analysis was used to assess the contribution of countries in the region to the total crude oil production and delivery, the changes in concentration of crude oil deliveries and refineries’ capacities, the capabilities of the regional crude oil transportation system and the trends in crude oil supplies and processing from 2005 to 2015. Findings The study established that from 2013 to 2015 oil supply to the region’s refineries increased and generated additional stress on the transportation and refining infrastructure. Research limitations/implications This study examined the aggregate values of crude oil production, crude oil deliveries and refining capacities. In practice, different refineries are set to process certain types of crude oil. It is possible to use the described approach with a certain crude oil grade. Practical implications When developing the programmes for crude oil supply to refineries, it is vital to take into account the capacities of refineries and the capabilities of the crude oil transportation systems. Originality/value The study suggests that the region’s infrastructure has the necessary reserves to operate for the next few years without additional investments. Citation: International Journal of Energy Sector Management PubDate: 2019-02-15T11:37:18Z DOI: 10.1108/IJESM-08-2018-0007
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The solar energy sector has been growing with dramatic reduction in commercial pricing, improved efficiencies and improved deployments/usage conveniences. The purpose of this study is to understand the drivers of the purchase intent for rooftop (RT) solar. This will enable policymakers to improve the penetration of this new and promising green technology. Design/methodology/approach This research leverages the framework of unified theory of acceptance and use of technology 2 (UTAUT2) to identify and build a quantitative approach to identify factors (and their relative impact on) the purchase intent of a domestic RT solar buyer. The 400 respondents’ field data were collected in Bangalore (a high RT solar penetration region) and Delhi NCR (relatively lower RT solar penetration region). Findings The exploratory factor analysis study revealed that the consumers’ purchase intention of RT Solar is shaped by seven main factors, namely, environmental concerns, social beliefs, hedonic motivation, performance expectancy, price value, self-efficacy and effort expectancy, and that these factors explain 79.2 per cent of the field data. This study finds that social beliefs followed by effort expectance concerns are key factors explaining approximately 20 per cent of the purchase intent each, while unit change in price value beliefs explain about 18 per cent of the purchase intent. Practical implications Suggested policy measures include building on strengthening emergence of local solar evangelist groups in the communities and easing effort expectance items (e.g. building legal, regulatory frameworks and financial tools for solar penetration models such as renewable energy services companies). Originality/value This paper is the first attempt to model the consumer behavior of the Indian RT solar photovoltaic buyer leveraging the UTAUT2. Citation: International Journal of Energy Sector Management PubDate: 2019-02-07T02:58:04Z DOI: 10.1108/IJESM-07-2018-0012
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The purpose of this paper is to develop an interpretive structural modeling (ISM) of barriers related to viability of Power Distribution Companies (discoms) in India. Design/methodology/approach Feedback from the Experts of Indian power sector has been taken as the basis to develop the model for barriers to viability of discoms, where major barriers have been identified through extent review of literature and through discussions with experts in the power sector keeping the viability of discoms in focus, and the hierarchical structure of barriers has been developed using ISM. Findings An interpretive structural model has been developed for discom-related factors (barriers) affecting its viability. The hierarchical structure portrays the impeding factors of viability and showcases that lack of regulatory effectiveness, inadequate tariffs and lack of government’s expenditures on power sector are the key barriers. Research limitations/implications This paper has implications for both practitioners and academics. For practitioners, it provides an indicative list of major barriers affecting the viability of Indian discoms. For academics, the methodology used provides a mechanism to conduct an exploratory study by identifying the key variables of interest and emphasizing their interactions through hierarchical structures. Originality/value The proposed model for barriers to viability of discoms developed through qualitative modeling technique is a pioneering effort altogether in the context of power distribution companies in India. Understanding contextual relationships among key barriers to viability of discom’s is neglected in existing literature, and this paper makes a contribution in this regard. Citation: International Journal of Energy Sector Management PubDate: 2019-01-23T11:46:34Z DOI: 10.1108/IJESM-10-2018-0006
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This paper aims to analyze the context of community opinions and participation in the natural gas sector in developing countries, a case study of Tanzania. To achieve this purpose, the study pointed out six facts, namely, information on the natural gas sector; awareness of the natural gas-related policies; laws and regulations and the creation of employment opportunities; local experts in the natural gas sector; the use of natural gas revenues; and natural gas for poverty reduction and improvement of social well-being. Design/methodology/approach The study is a systematic review of the literature on community participation based on the relevant studies published between 2010 and 2018. A comprehensive literature review was carried out following the seven-step model whereby relevant themes from different potential bibliographic databases such as Google Scholar were systematically selected, compiled and analyzed using descriptive methods. Findings The study revealed that despite the various efforts made by the governments and other stakeholders to promote community participation, there is an inadequate level of community participation in the natural gas sector in developing countries. There are limited local experts for natural gas operations and low transparency on natural gas contracts, agreements and revenues. Therefore, there is the need to raise awareness for a highly informed society with a clear sense of ownership of the natural gas wealth among the local communities. Moreover, transparency and accountability are recommended for the sustainable natural gas sector development. Originality/value This paper offers new and current cross-sectoral inclusion, opinions, hopes and concerns of the community on the natural gas sector management in developing countries. Citation: International Journal of Energy Sector Management PubDate: 2019-01-18T03:06:27Z DOI: 10.1108/IJESM-11-2018-0003
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The purpose of this study was to investigate the relationship between electricity access, population growth and economic growth in Pakistan. Design/methodology/approach Phillips–Perron unit root test was applied to check the stationarity of the variables and an Autoregressive Distributed Lag (ARDL) bounds testing approach to co-integration was used to investigate the causality link between the study variables. Finally, a projection method was applied to check the future trend of the variables. Findings The study results show the long-term connections among the variables; further, the results illustrate that the electricity access to the urban population and the urban population growth has a significant impact on the economic growth, while the electricity access to the rural population and the rural population growth has a negative impact on the economic growth in Pakistan. Research limitations/implications The electricity sector needs further attention from the Government of Pakistan to boost the production from different energy sources, such as oil, gas, solar, nuclear and hydropower to be able to fulfill the country’s growing demand. Originality/value By using the ARDL bounds testing approach to co-integration, this study addressed the literature gap regarding electricity access, population growth and economic growth in Pakistan. Citation: International Journal of Energy Sector Management PubDate: 2019-01-18T02:50:22Z DOI: 10.1108/IJESM-04-2018-0009
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The purpose of this study is to determine if the Brazilian electricity sector is differently affected by the characteristics of the content in the regulatory legislation. Design/methodology/approach For better robustness of the research, the authors analyzed the period from 1995 to 2013, totaling 4,510 observations. To this end, the selection of regulatory legislation was conducted through Markov regime switching. To identify the characteristics of profile and intensity of regulatory content in each legislation, we applied the content analysis technique. Findings The main findings of this study position this research in the vanguard regarding other research in the area by showing that all regulatory measures whose characteristics denote market profile of strong and medium intensity affect the risk of electric utilities in Brazil. As contribution from this research, it can be hypothesized that for provisional measures/laws events, the profile and intensity of regulatory content are relevant and have different impact on the risk of stocks and, therefore, should be considered in the design and development of public policies. Originality/value The paper investigates by means of content analysis, the profile and intensity characteristics of the content present in the regulatory legislation and to present the impact of these characteristics on the risk of the electric energy Sector in Brazil. The research results showed that it is not all regulatory events that impact the stock market. Therefore, regulatory risk estimates must consider the intensity and scope of each legislation, given that legislation with a higher regulatory content that seeks to modify the sector’s operating rules more deeply tends to have a greater impact on the risk of companies that operate in regulated sectors. Therefore, the paper shows originality and evolution for the researchers in the area, with new and significant information. Citation: International Journal of Energy Sector Management PubDate: 2019-01-04T03:11:47Z DOI: 10.1108/IJESM-01-2018-0002
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The purpose of this study is to investigate the relationship between renewable energy and economic growth of Bulgaria. Design/methodology/approach This study analyzes the relationship between renewable energy and economic growth of Bulgaria for the period 1990-2016, based on annual data, by using the Toda–Yamamoto analysis and Autogressive Distrubuted Lag (ARDL) bound test. This period is characterized by the democratization of the Balkans and several crisis cycles in Bulgaria. Renewable energy consumption (REC, percentage of total final energy consumption), renewable electricity output (REO, percentage of total electricity output) and economic growth (GDP constant 2010 US$) were used. The levels or differences of the variables that are stationary were investigated using the augmented Dickey–Fuller (ADF), Philips–Perron (PP) and Kwiatkowski-Philips-Schmidt-Shin (KPSS) unit root tests. Findings Three different results were obtained from this study. One showed that renewable energy consumption and renewable electricity output are the causes of economic growth. Another result of this study is that economic growth and renewable electricity output are the causes of renewable energy consumption. The last result is that economic growth and renewable energy consumption are not causes of renewable electricity output. There was no long-term relationship between variables. Research limitations/implications The ARDL and Toda–Yamamoto tests were used because of lack of data sets. Thus, it is estimated that there is no long-term relationship. Originality/value This study is an original work for Bulgaria, showing the results of the relationship between renewable energy and economic growth. In line with the results of this study, renewable energy projects related to Bulgaria can be predicted. Citation: International Journal of Energy Sector Management PubDate: 2019-01-03T02:43:55Z DOI: 10.1108/IJESM-11-2017-0005
First page: 196 Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The purpose of this paper is to analyze annual energy expenditure in the presence of non-linear load and substation voltage harmonics in distribution systems. Economic assessment of non-sinusoidal energy is a challenging task that involves complex computations of harmonic load powers and harmonic line losses. Design/methodology/approach The paper evaluates fundamental and non-sinusoidal components of electrical energy by applying backward/forward sweep technique in distorted distribution systems. This work involves harmonic power computations at the substation by including harmonic losses occurring in various lines of the distribution system. Findings The paper found that annual energy expenditure significantly depends upon the non-linear load, supply voltage harmonics and type of tariff structure considered in the distribution system. Impact of individual harmonic orders on the energy billing is also assessed. Originality/value The paper concludes that considering harmonic distortions in the distribution system analysis would help electricity regulators formulate adequate pricing structures, which would further generate appropriate economic signals for electricity utility and the consumers. Citation: International Journal of Energy Sector Management PubDate: 2019-03-06T04:32:32Z DOI: 10.1108/IJESM-05-2017-0002
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The purpose of this paper is to quantitatively examine if varying household consumption activities at different income levels drove CO2 emissions to different degrees in Mexico from 1990 to 2014. Design/methodology/approach The paper applied a simple expenditure-CO2 emissions elasticity model – a top-down approach – using data from consumption-based CO2 emission inventories and the “Household Income and Expenditure Survey” and assuming a range of 0.7-1.0 elasticity values. Findings The paper results show a large carbon inequality among income groups in Mexico throughout the period. The household consumption patterns at the highest income levels are related to significantly more total CO2 emissions (direct + indirect) than the household consumption patterns at the lowest income levels, in absolute terms, per household and per capita. In 2014, for example, the poorest household decile emitted 1.6 tCO2 per capita on average, while the wealthiest decile reached 8.6 tCO2 per capita. Practical/implications The results suggest that it is necessary to rethink the effect of consumption patterns on climate change and the allocation of mitigation responsibilities, thus opening up complementary options for designing mitigation strategies and policies. Originality/value The paper represents an alternative approach for studying CO2 emissions responsibility in Mexico from the demand side, which has been practically absent in previous studies. The paper thereby opens a way for studying and discussing climate change in terms of consumption and equity in the country. Citation: International Journal of Energy Sector Management PubDate: 2018-12-31T10:08:18Z DOI: 10.1108/IJESM-07-2018-0016
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The purpose of this paper is to answer this question by discussing the practicality of implementing microreactor technology towards large-scale renewable energy generation, as well as provide an incentive for future researchers to utilize microreactors as a useful alternative tool for green energy production. However, can microreactors present a viable solution for the generation of renewable energy to tackle the on-going global energy crisis' Design/methodology/approach In this paper, the practicality of implementing microreactor technology toward large-scale renewable energy generation is discussed. Specific areas of interest that elucidate considerable returns of microreactors toward renewable energy production are biofuel synthesis, hydrogen conversion and solar energy harvesting. Findings It is believed that sustained research on microreactors can significantly accelerate the development of new energy production methods through renewable sources, which will undoubtedly aid in the quest for a greener future. Originality/value This work aims to provide a sound judgement on the importance of research on renewable energy production and alternative energy management methods through microreactor technology, and why future studies on this topic should be highly encouraged. The relevance of this opinion paper lies in the idea that microreactors are an innovative concept currently used in engineering to significantly accelerate chemical reactions on microscale volumes; with the feasibility of high throughput to convert energy at larger scales with much greater efficiency than existing energy production methods. Citation: International Journal of Energy Sector Management PubDate: 2018-12-20T03:32:37Z DOI: 10.1108/IJESM-10-2018-0009
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The purpose of this paper is to analyze strengths, weaknesses, opportunities and threats (SWOT) of energy efficiency improvement of Iran building sector and develop strategies based on them and finally prioritize these strategies according to experts’ judgments. This SWOT analysis is developed based on a detailed study in Iran energy market along with consulting with several energy specialists and has not been conducted before. Design/methodology/approach Since SWOT analysis is not capable to rank the developed strategies, analytical network process method is applied to prioritize them according to experts’ judgments. Results are compared with the results of the hierarchical network process (AHP). Findings Numerical results show that modification of the energy tariff system is the most important strategy. Besides this strategy, four other ones are related to the role of government in Iran energy market, while the remaining ones can be accomplished by domestic or international companies. They are about worn out appliances, inefficient buildings and inefficient lighting systems. Originality/value The SWOT analysis and the developed strategies can provide an insight into the improvement of buildings’ energy efficiency in Iran and some similar countries. All the developed strategies have two sides. One is the regulatory and supporting role of the government and the other is about the investment and implementation considerations. As most of the required rules have been established, the ground is prepared for domestic or international investors to start or develop their energy-related businesses in Iran market. Citation: International Journal of Energy Sector Management PubDate: 2018-12-20T03:31:38Z DOI: 10.1108/IJESM-07-2018-0011
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This study aims to empirically examine the relationship between energy consumption and agricultural economic growth in Pakistan over the period from 1984 to 2016. Design/methodology/approach This study used the autoregressive distributed lag (ARDL) bounds testing approach to cointegration to investigate the long-run and short-run determinants of agricultural economic growth in Pakistan. Findings The results of the ARDL bounds testing approach to cointegration revealed that long-run linkage exists among the study variables. The findings of this paper showed that agricultural economic growth is positively affected by gas consumption and electricity consumption both in the long-run and short run. The long-run and short-run coefficients of gas consumption and electricity consumption were estimated to be 0.906, 0.421, 0.595 and 0.276, respectively. The estimated equation remains stable during the period from 1984 to 2016 as analyzed by the stability tests. Originality/value This study considers the relationship between energy consumption and agricultural economic growth in Pakistan by using an ARDL bounds testing approach to cointegration. The study has three contributions to economic literature:this study used different unit root tests to test stationarity of the variables such as ADF unit root test by Dicky and Fuller and P-P unit root test by Philip and Perron; the ARDL bounds testing approach to cointegration is applied to test the existence of long-run analysis between energy consumption and agricultural economic growth; and to check the robustness, the authors used the Johansen cointegration test to examine the long-run relationship between dependent and independent variables. Citation: International Journal of Energy Sector Management PubDate: 2018-12-17T11:51:15Z DOI: 10.1108/IJESM-08-2018-0009
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose Technology is named as the most important element of creating the competitive edge in today’s turbulent environment and a key factor of survival in technology-intensive industries. Oil and gas industry is one of the most important, complex and technology-driven amongst the global industries. Although there have been studies on the importance of the business model change for the players aiming to survive, naming technology as the main reason is yet to be highlighted. To answer the question: does technology have an impact on the business model innovation in the oil and gas industry' Design/methodology/approach In this paper, the authors conduct an in-depth review of previous studies of oil and gas industry, main players, the role and evolution of technology in each player’s business model and present future challenges and trends of the industry. Findings Finally, theoretically, the results of this study are in line with the theory presented by Baden – Fuller and Haefliger (2013) on the relation between technology and business model innovation, thus it helps the robustness of the theory as well. we argue that technology gained a “game changer” status in the oil and gas industry, beside all the fundamental premises on which business model is built on, having technology seems to be the key element of survival and the ability to develop in-house or have access to the latest ones in the right time can help the market share, revenue and leadership status. In addition, most of the research studies in the oil and gas industry are practical focusing on a specific technology, clean energy issues, regulations, policies, etc. There exist few studies that present the theoretical issues in the industry or test the theories to see if this important industry falls within them or not. Originality/value As follows, this study is about to address this gap and observe the dynamics in the oil and gas industry with an academic lens. Citation: International Journal of Energy Sector Management PubDate: 2018-12-17T11:50:44Z DOI: 10.1108/IJESM-09-2018-0004
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose To improve power system peak dispatching ability, connecting energy-storage device such as electric vehicle (EV) and regenerative electric heater (REH) to power grid is a good choice. Design/methodology/approach This paper establishes a multi-energy combined peak dispatching system MCPDS which includes EV, REH and wind power. The matter-element extension model based on improved variable weight theory is applied to evaluate MCPDS synthetic benefit. Findings The research shows that the MCPDS established in this paper performs excellently in security benefit, economic benefit, social benefit and environmental benefit. Originality/value With the assistance of energy storage devices such as EV and REH, the electrical system peak dispatching ability and power system operation efficiency has improved. More devices with energy-storage ability should be introduced into electrical power system to improve its synthetic benefit. Citation: International Journal of Energy Sector Management PubDate: 2018-12-17T11:40:48Z DOI: 10.1108/IJESM-08-2018-0004
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The global energy market has been facing lower prices of crude oil in recent years. Lower fuel price leads to lower transport cost and cheaper agricultural inputs (such as pesticides and chemical fertilizer), resulting in lower prices of agricultural commodities in the international markets. On the other hand, lower global oil price reduces the oil revenues of oil exporting countries, resulting in a decrease in government expenditures. Therefore, the purpose of this study is to examine the impacts of lower global oil and agricultural commodity prices and government expenditure on the entire economy and poverty level of Malaysia. Design/methodology/approach This study used a computable general equilibrium model (CGE) to investigate four simulation scenarios based on the latest Malaysia’s input-output table belonging to 2010. The first scenario is a 30 per cent fall in the export and import prices of agricultural commodity prices, while the second is a 50 per cent decline in the export and import prices of crude oil, and the third combines them. In the fourth scenario, government operating expenditure declines by 4 per cent because of the fall in government’s oil revenues as a result of the decline in global oil prices. Findings The simulation results suggest that lower international oil price decreases real gross domestic product (GDP) and investment in Malaysia and influences positively the output and employment of some agriculture sectors. However, lower agricultural commodity price increases real GDP and investment in the country and negatively influences the output, employment and exports of all agriculture sectors. The decline in government expenditures also increases the output and the employment in the economy, whereas it decreases household consumption. In conclusion, results show that the agriculture sector losses from the current decline in international agricultural commodity prices, while it benefits from lower oil and government expenditure. Originality/value The main contribution of this study is comparing the impacts of recent falls in global oil and agricultural prices on the entire economy and agriculture sector of Malaysia. Investigating the impacts of these issues on the poverty level of Malaysian households is another contribution to the study. Another contribution is analyzing the impact of a reduction in government expenditures because of the decline in global oil price on the economy and welfare of Malaysia. Therefore, this study makes a useful contribution to the small literature of the topic. Citation: International Journal of Energy Sector Management PubDate: 2018-12-10T11:54:20Z DOI: 10.1108/IJESM-06-2017-0006
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This study aims to investigate the challenges facing the implementation of the natural gas policy in Tanzania. Design/methodology/approach A structured questionnaire was used to collect data, while the principal component analysis and statistical tests were used to explore the relationship between the opinions on the influential factors for the natural gas policy implementation and the demographic information. Findings The findings showed that over 50 per cent of the respondents regarded poor community participation and transparency and accountability as the major policy implementation challenges. Most of the demographic information showed the statistically significant effects of the policy implementation influential factors. Originality/value This paper provides the current challenges facing the implementation of the national natural gas policy in Tanzania. Citation: International Journal of Energy Sector Management PubDate: 2018-12-05T02:06:17Z DOI: 10.1108/IJESM-08-2018-0005
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This paper aims to focus on data analytic tools and integrated data analyzing approaches used on smart energy meters (SEMs). Furthermore, while observing the diverse techniques and frameworks of data analysis of SEM, the authors propose a novel framework for SEM by using gamification approach for enhancing the involvement of consumers to conserve energy and improve efficiency. Design/methodology/approach A few research strategies have been accounted for analyzing the raw data, yet at the same time, a considerable measure of work should be done in making these commercially reasonable. Data analytic tools and integrated data analyzing approaches are used on SEMs. Furthermore, while observing the diverse techniques and frameworks of data analysis of SEM, the authors propose a novel framework for SEM by using gamification approach for enhancing the involvement of consumers to conserve energy and improve efficiency. Advantages of SEM's are additionally discussed for inspiring consumers, utilities and their respective partners. Findings Consumers, utilities and researchers can also take benefit of the recommended framework by planning their routine activities and enjoying rewards offered by gamification approach. Through gamification, consumers’ commitment enhances, and it changes their less manageable conduct on an intentional premise. The practical implementation of such approaches showed the improved energy efficiency as a consequence. Citation: International Journal of Energy Sector Management PubDate: 2018-11-21T01:33:49Z DOI: 10.1108/IJESM-11-2017-0006
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose Technological development has not only helped in effective integration of renewable sources but also made it possible for consumers to participate in system operation. Different market players are coming up in the electricity market, microgrid being one of them. Thus, this paper aims to investigate consumers’ role in the dispatch of a microgrid system that has a hybrid market structure under varied system conditions. Design/methodology/approach The mathematical model developed has been solved by the CONOPT solver in the GAMS optimization tool. GAMS-MATLAB interfacing is done to obtain solutions. Findings The problem formulated shows the effect of consumers in dispatch and overall operational cost. Consumers’ participation has been proposed through a quadratic cost function. The system operation under pool and bilateral contracts has been investigated. It shows that proper incentives to the consumers can help in reduction and effective management of the demand, carbon emission and overall system operational cost. Originality/value This paper considers the hybrid market structure to find the load dispatch in a microgrid system. The participation of consumers in the microgrid system has been implemented considering variations in wind power, solar power and load. The power exchange between the grid and microgrid system has been modeled showing the contribution of the consumers in system operation. Citation: International Journal of Energy Sector Management PubDate: 2018-11-21T01:31:29Z DOI: 10.1108/IJESM-12-2017-0008
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This study aims to consider a five-factor model to evaluate the service quality of solar product companies in the context of rural Punjab (India) and validate the proposed model. In addition, the study considered the factors which affect the service quality of solar product companies. Design/methodology/approach A five-factor model of service quality has been tested for reliability and validity by confirmatory factor analysis. For determining satisfaction of the solar product users, SERVQUAL model/gap analysis has been applied. Five dimensions, namely tangibility, reliability, responsiveness, assurance and empathy have been considered to assess the overall satisfaction level. A modified scale of Parasuraman incorporated in 1985 has been used as a survey instrument for research. A sample size of 345 solar submersible pump users was selected. Findings The study concluded that dimensions such as reliability, responsiveness, assurance and empathy have lesser gap. The major gap has been found in the tangibility dimension which includes variables like modern design of solar energy products, facilities and attractiveness, variety of solar products and performance of solar products, etc. Research limitations/implications As primary data are concerned, the biasness of the respondents may affect the results of the study. The survey has been conducted in the Punjab region, and a sample size is 345 only which may not reflect the broader picture. Practical implications Solar energy has huge benefits in the Indian agriculture sector. The erratic state of power supply in India casts important costs on agriculture productivity. One such segment concerns systems, an important input for agriculture production. The study has implications for solar energy product manufacturers, as it makes them aware about customer perception toward services of solar product companies. Social implications To decrease pollution and to save the environment, solar energy technologies have a good potential energy source and to meet the global energy demand, as it is the most promising and reliable energy source. Originality/value The existing studies in the context of service quality of solar product companies in Punjab have been majorly confined to proposing key drivers toward adoption of renewable energy sources. By providing an insight into the satisfaction level of farmers for solar submersible pumps, the proposed study attempts to fill the gap. As the study relates to solar product users in rural Punjab, the findings will be of additional value to solar product companies which are manufacturing solar products. Therefore, it is expected that this research will fill the gap in literature by studying empirically the service quality of solar product companies. Citation: International Journal of Energy Sector Management PubDate: 2018-11-15T01:31:45Z DOI: 10.1108/IJESM-07-2017-0007
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The degradation of the natural habitat at the expense of economic development is a harmful growth that warrants environmental policy actions. For instance, the economic impacts of environmental pollution are quite visible in developed and developing economies, where human health is compromised by rapid economic growth and energy induced pollution. Therefore, the purpose of this study is to investigate the impact of CO2 emissions on economic development. Design/methodology/approach This paper investigates the correlation between pollutant emissions and key economic variables within the economic community of West African states (ECOWAS) region by applying fixed effects model to unbalanced time-series panel data for the period 1980-2014. This paper examines the full ECOWAS panel and sub-panels with export-and-import-dependent countries. Findings The authors argue that energy consumption (EC) and real output exert causal influences on CO2 emissions for the full ECOWAS panel and the sub-panels with export-and-import-dependent countries. Practical implications The results imply that increase in EC is the main factor that promotes economic growth in the region. Additionally, growth in EC and real output stimulates CO2 emissions growth. Originality/value Therefore, it is argued that technological innovations that increase energy efficiency through new carbon-free technologies that minimize CO2 emissions growth without impairing economic growth and development must be introduced in the region. Citation: International Journal of Energy Sector Management PubDate: 2018-11-15T01:30:27Z DOI: 10.1108/IJESM-09-2017-0001
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The purpose of the paper is to provide to a better scientific understanding of Indonesia’s domestic gas allocation policy and its effects on the national economy and to answer the question of what best priorities can be set in allocating the natural gas for the domestic market to maximize the benefits for the national economy. Design/methodology/approach The authors apply a Computabled General Equilibrium (CGE). The Social Accounting Matrix 2008 is used to calibrate the CGE Model. There are two scenarios proposed, each is simulated with certain percentage of gas supply curtailment (50 MMSCFD, Scenario A), (100 MMSCFD, Scenario B). Findings It is confirmed that government’s current policy to give priority to oil production is not the optimum way to maximize added value of natural gas to Indonesian economy. While oil production generates state revenue, it is industry and petrochemical sector that induces high economic impacts because of strong backward and forward linkages. Research limitations/implications Due to the limited data availability, it is assumed that the data on the SAM 2008 are valid for describing the structure of Indonesian economy. Practical implications The paper provides recommendation to the government to revise gas allocation policy by changing the rank of consumers’ priority. Originality/value This paper provides instruments to measure the impact of Indonesia’s domestic gas allocation policy. Finding the best hierarchy of consumer priorities is essential for maximizing added value of natural gas for the national economy. Citation: International Journal of Energy Sector Management PubDate: 2018-11-13T02:54:28Z DOI: 10.1108/IJESM-05-2018-0003
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The purpose of this paper is to analyze the role of industrial self-supply in the transition process from centralized energy generation based on fossil fuels and nuclear power to decentralized supply based on renewable energies in the Bavarian electricity system. Design/methodology/approach To quantify effects on system and price stability, a model of the Bavarian electricity grid is created and used to simulate electricity system behavior during a 1-year period for scenarios that are characterized by parameter variations in industrial self-supply, nuclear power capacity, renewable power generation and the capacity of electricity imports. Findings The simulations show that industrial self-supply can reduce instances of maximum grid utilization by 23 per cent and, based on the merit-order effect, decrease electricity market prices by 1.90 and 5.03 €/MWh in the scenarios with and without nuclear power, respectively; these values represent 5.7 and 15.0 per cent of average market prices from 2014. Research limitations/implications The analysis shows that industrial self-supply can contribute to transforming the electricity system in a secure, sustainable and affordable manner. However, merit-order-based price effects have a limitation concerning the future applicability of results as quantified effects may not be permanent when the electricity system adapts. Originality/value This paper connects industrial self-supply and the merit-order effect within a nodal energy model. It provides insights into the relevant interdependencies and reciprocal effects by means of a simulation. Citation: International Journal of Energy Sector Management PubDate: 2018-11-09T12:57:46Z DOI: 10.1108/IJESM-11-2017-0009
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This paper aims to examine empirically if the encouragement by government policy of merger and acquisition activity involving municipal and provincially owned electricity distribution utilities (LDCs) in the Province of Ontario has had positive effects in terms of value creation, operating performance and economies of scale. Design/methodology/approach It was anticipated that with LDC consolidation, there will be increased operational efficiency and improvement in the cost-effectiveness of the merged electrical utility. Using matched pairs dependent t-testing and Wilcoxon signed-rank testing, the authors compared data for three years before and after the merger or acquisition of 16 municipal utilities (616 total observations) to determine if there were any statistically significant changes (positive or negative) in measures of financial, operational and service efficiency. Findings The findings indicate statistically significant increases in debt as a percentage of shareholder equity in post-merger/acquisition utilities and consequently leveraged higher returns on equity. However, there were no statistically significant changes in financial, operational or service efficiency measures (with the exception of decreased efficiency in telephone response). Research limitations/implications A total of 16 mergers or acquisitions were reviewed involving 32 of 79 LDCs, with the research implications pointing to a need for existing policy to be reviewed to determine whether a more detailed examination is required by the provincial energy regulator, including a closer examination of managerial motives, before approving mergers between municipal electricity distributors. This research involves only a quantitative approach and further research would examine these transactions using qualitative measures for a deeper examination as to managerial motives. Practical implications The results suggest that the mergers or acquisitions to date have served only to increase shareholder risk without improvement in other financial, operational or service efficiencies, a contradiction to the rationale behind the Province’s merger policy. Social implications The consolidation policy for Ontario LDCs has not resulted in any statistically significant improvement in electricity rates or service for consumers. Originality/value This paper is the first examination of the effects of Ontario’s LDC consolidation policy in terms of specific financial, operational and service efficiency measures. Citation: International Journal of Energy Sector Management PubDate: 2018-11-09T12:56:05Z DOI: 10.1108/IJESM-07-2018-0017
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose An electrical power distribution network is expected to deliver uninterrupted power supply to the customers. The disruption in power supply occurs whenever there is a fault in the system. Therefore, fast fault detection and its precise location are necessary to restore the power supply. Several techniques are proposed in the past for fault location in distribution network but they have limitations as their fault location accuracy depends on system conditions. The purpose of this paper is to present a travelling wave-based fault location method, which is fast, accurate and independent of system conditions. Design/methodology/approach This paper proposes an effective method for fault detection, classification and location using wavelet analysis of travelling waves for a multilateral distribution network embedded with distributed generation (DG) and electric vehicle (EV) charging load. The wavelet energy entropy (WEE) is used for fault detection and classification purpose, and wavelet modulus maxima (WMM) of aerial mode component is used for faulted lateral identification and exact fault location. Findings The proposed method effectively detects and classifies the faults, and accurately determines the exact fault location in a multilateral distribution network. It is also found that the proposed method is robust and its accuracy is not affected by the presence of distributed generation and electric vehicle charging load in the system. Originality/value Travelling wave based method for fault location is implemented for a multilateral distribution network containing distributed generation and electric vehicle load. For the first time, a fault location method is tested in the presence of EV charging load in distribution network. Citation: International Journal of Energy Sector Management PubDate: 2018-11-06T10:42:52Z DOI: 10.1108/IJESM-07-2018-0007
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose Power management in households has become the periodic issue for electric suppliers and household occupants. The number of electronic appliances is increasing day by day in every home with upcoming technology. So, it is becoming difficult for the energy suppliers to predict the power consumption for households at the appliance level. Power consumption in households depends on various factors such as building types, demographics, weather conditions and behavioral aspect. An uncertainty related to the usage of appliances in homes makes the prediction of power difficult. Hence, there is a need to study the usage patterns of the households appliances for predicting the power effectively. Design/methodology/approach Principal component analysis was performed for dimensionality reduction and for finding the hidden patterns to provide data in clusters. Then, these clusters were further being integrated with climate variables such as temperature, visibility and humidity. Finally, power has been predicted according to climate using regression-based machine learning models. Findings Power prediction was done based on different climatic conditions for electronic appliances in the residential sector. Different machine learning algorithms were implemented, and the result was compared with the existing work. Social implications This will benefit the society as a whole as it will help to reduce the power consumption and the electricity bills of the house. It will also be helpful in the reduction of the greenhouse gas emission. Originality/value The proposed work has been compared with the existing work to validate the current work. The work will be useful to energy suppliers as it will help them to predict the next day power supply to the households. It will be useful for the occupants of the households to complete their daily activities without any hindrance. Citation: International Journal of Energy Sector Management PubDate: 2018-11-06T10:42:12Z DOI: 10.1108/IJESM-04-2018-0012
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This paper aims to model the relationship between oil price and six major agricultural commodity prices using monthly data from January 1997 to December 2016. Design/methodology/approach The authors use both the linear autoregressive distributed lag by Pesaran et al. (2001) and the nonlinear autoregressive distributed lag by Shin et al. (2014), and they also account for structural breaks using the Bai and Perron (2003) test that allows for multiple structural changes in regression models. Findings These findings are discernible from the authors’ analyses. First, the linear analysis indicates a significant positive effect of oil prices on the agricultural commodity prices, which supports evidence on the non-neutrality hypothesis. Second, oil price asymmetries seem to matter more when dealing with agricultural commodity prices, except for groundnut. Third, it may be necessary to pre-test for structural breaks when modelling the relationship between oil price and agricultural prices regardless of the commodity being analysed. Fourth, the asymmetric effect for the agricultural commodity prices is non-neutral to oil prices, except for rice in the case of structural breaks. Originality/value This paper contributes to the on-going debate on the oil–agricultural commodity nexus using the recent technique of asymmetry and also considering the role structural breaks play in the relationship between oil price and agricultural commodity prices. Citation: International Journal of Energy Sector Management PubDate: 2018-11-06T10:41:13Z DOI: 10.1108/IJESM-07-2018-0004
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The international energy agency states that the world’s primary energy needs are expected to grow to 55 per cent until 2030. Therefore, oil and gas industry as the main energy source will be more crucial where building or advancing new capacities is required. Because the reports highlight the delay as a recurring problem, thereby, more in-depth investigation to find out the main contributing causes is needed. Design/methodology/approach Root cause analysis (RCA) was applied to identify, rank, analysis and categorize the main sources of this problem. Findings Based on RCA procedure; Pareto analysis showed that 84.7 per cent of the delay is because: the radar chart indicated no difference in perception of the participants regarding the importance of the root causes, correlation analysis suggested strong relationship among the participants and the cause-and-effect diagram emphasized more on operational, human and equipment categories, which in total account for 51.86 per cent of the delay. Originality/value The risk planners of large-scale projects can consider these root causes as the main items to analysis, monitor and control, as they are vitally important for project success. Citation: International Journal of Energy Sector Management PubDate: 2018-10-30T02:45:10Z DOI: 10.1108/IJESM-04-2018-0014
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This paper aims to investigate whether improvement in human capital can foster energy conservation by reducing the energy consumption in India using annual data from 1980 to 2014. Further, this study examines the relationship between human capital and various forms of energy consumption such as electricity, coal, natural gas, hydrocarbon gas and petroleum consumption. Design/methodology/approach To attain the objective, the study investigates this relation through the auto-regressive distributed lag model (ARDL) technique to find a long-run and short-run relationship. Second, to check the robustness of the results, the authors use alternative econometric methods such as dynamic ordinary least squares and fully modified dynamic ordinary least squares. Findings The results reveal a negative relationship between human capital and energy consumption, which implies that improvement in human capital lowers the energy consumption and various forms energy consumption, except for petroleum consumption. The results derived from ARDL show that there exists a long-run and short-run association between human capital and energy consumption. The results are consistent across the econometric techniques. Practical implications Because G20 countries including India aim at reducing carbon emission to a certain level, this study provides an insight that by emphasizing on human capital, India can reduce energy consumption, which would foster energy conservation. Originality/value To the best of the authors’ knowledge, this the first study in India which attempts to examine the effect of human capital on energy consumption and its various forms. Citation: International Journal of Energy Sector Management PubDate: 2018-10-30T02:43:49Z DOI: 10.1108/IJESM-07-2018-0009
Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The purpose of this paper is to uncover the importance of several variables centered around partnership in renewable energy (RE) projects. The concept developed earlier is applied to the project environment to identify interrelations between external and internal drivers, project partnership, resources and project success. A framework consisting of logical chain to project success is proposed. Design/methodology/approach The study derived the concepts and variables of RE projects’ partnership from the academic literature. The methodology of the case study was used to gain insights in relation to the variables in the logical chain of the proposed framework, suggesting that certain external/internal drivers direct diverse stakeholders to a partnership. Findings RE technologies are not commodities and require involvement of different stakeholders, who directly or indirectly are impacted by implementation of the RE projects. For the project to be a success, it is critical to involve the stakeholders early in the process and induce partnership synergy, through which dynamic capabilities and implementation mechanisms are capitalized upon as resources to achieve project success. Originality/value There appears to be no specific framework directly linking partnership synergy and project success; their relationships are only indirectly inferred. Focusing on project-level activities of public and private stakeholders the paper proposes a framework that conceptualizes relationships among external/internal drivers, partnership, resources and project success/performance. This could be a promising future research direction, helping technology project stakeholders maximize their returns by realizing full advantage of collaboration and partnership Citation: International Journal of Energy Sector Management PubDate: 2018-10-16T01:58:21Z DOI: 10.1108/IJESM-04-2018-0001
First page: 2 Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The purpose of this paper is to determine the factors affecting the capital structure of companies engaged in the Indian energy sector. Design/methodology/approach Capital structure theories and empirical literature have been reviewed to formulate propositions concerning the factors/variables determining the capital structure of Indian energy companies. The examination is done using panel data techniques for the sample 141 companies operating in the Indian energy sector. Findings The results show firms’ age, asset turnover ratio, liquidity and firms’ size to be significant determinants of capital structure for the Indian energy companies, while profitability, debt service capacity, sales growth, non-debt tax shield and tangibility ratio to be insignificant determinants. Historically, profitability has shared a significantly negative relationship with debt ratio; however, the relation here is not significant. Research limitations/implications The focus of the current study is on Indian energy sector, the results obtained will not be applicable for other sectors. Originality/value The current research gives an insight into the determinants of capital structure of the companies engaged in the Indian energy sector, which are mostly overlooked due to the laws, policies and regulations governing the sector as a whole. Citation: International Journal of Energy Sector Management PubDate: 2018-09-24T06:53:08Z DOI: 10.1108/IJESM-03-2018-0001
First page: 24 Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose Analysis of relationship between energy and growth offers the sustainable energy pathway for a country’s sustainable economic development. This study aims to focus on the evaluation of the Pakistan’s energy system using long-run energy alternative planning (LEAP) modeling framework through different growth scenarios. Design/methodology/approach Principal component analysis has been adopted for indicators index formation. Study period of 1980 to 2030 is covered by forward and backward simulations in LEAP software. Findings The study reveals that current energy policy does not have the potential to lead the country toward a desired goal of economic sustainability. Research limitations/implications In falling off scenario, negative growth rate (-5 per cent) assumption is also debatable; LEAP shows an error in the analysis and takes the last positive available value for any further analysis as a default. This case could have been simply omitted from results but for research contribution, the computations for this case are also reported. Practical implications Long-range energy alternative planning model has been applied to answer the corresponding question for simulation period of 1980 to 2030 to better compare the past trend and future expectations. Critical analysis of four selected scenarios (BAU, moderate, advanced and falling off) indicate that energy policy of Pakistan is poorly managed to maintain energy system’s effectiveness. Social implications As far as statistical difference is concerned, early years have more fluctuation; however, from 2009, curve flattens for energy consumption and energy demand. The increasing demand of energy impacts the society and hence disturbs all sectors. Originality/value Policymakers have been so dragged off from the main route to sustainability, despite all odds there is a huge unexplored potential in the country for use to move in step with the world for a better tomorrow. The study educates the policymakers to comprehend the future energy scenarios and make rational decisions based on the study outcomes. Citation: International Journal of Energy Sector Management PubDate: 2018-10-18T12:55:22Z DOI: 10.1108/IJESM-04-2018-0006
First page: 45 Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This paper aims to examine the compatibility of Giffen behaviour with residential demand for kerosene and cooking gas. Design/methodology/approach In total, 600 questionnaires were administered on selected households in Ondo State while 485 were retrieved. Both ordinary least square and instrumental variables (IVs) were estimated, while, the IV estimated result was preferred. Findings The result showed that Giffen behaviour is compatible with the demand for kerosene in Ondo State, but not for cooking gas. As regard to other factors, prices of the alternatives to kerosene and cooking gas have positive but insignificant impact on the demand for the respective products. Age of the household has a positive significant impact on the demand for kerosene and cooking gas. Household in which the heads has tertiary education demand for kerosene and cooking gas more than those without any form of education. Larger households consume more of both commodities than smaller households. Research limitations/implications Based on these findings, the authors recommend that government should continue to subsidize either the production or consumption of household kerosene. Practical implications Consumers should not mind the initial expenditure in purchasing cylinder for cooking gas as subsequent expenditure would be lower than that of kerosene. Social implications Regulators should brace to ensure that kerosene and cooking gas be made available at government-regulated prices, particularly by checkmating the activities of the “black-marketers.” Originality/value Two outstanding knowledge gaps that this paper filled are in the novelty of this paper regarding the application of Giffen behaviour to kerosene and cooking gas. Second, previous studies did not account for the potential endogeneity problem that is inherent in the joint demand for kerosene and cooking gas. This paper took care of this by estimating the model using IVs. Citation: International Journal of Energy Sector Management PubDate: 2018-10-01T02:19:02Z DOI: 10.1108/IJESM-04-2016-0007
First page: 60 Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The purpose of this paper is to explore the effect of oil price shocks on the US Consumer Price Index over the monthly period from 1876:01 to 2014:04. Design/methodology/approach The author uses the Bai and Perron (2003) structural break test to split the data sample into sub-periods delimited by the computed break dates. Afterwards, the author uses the quantile treatment effects over the full sample and then, by including sub-periods dummies to accommodate the selected structural breaks that drive the relationship between inflation and oil price growth. Findings The findings include a decreased transmission effect of oil price changes on inflation in recent years; a varied elasticity of inflation to the growth rate of oil prices across the distribution; and, finally, evidence of asymmetry in the relationship between the growth rate of oil prices and inflation, with a higher transmission mechanism for decreasing rather than increasing oil prices. Practical implications Policymakers should remain alert to monitoring potential inflation increases and should take precautionary measures to anchor inflation expectations, because inflation reacts differently to positive and negative oil price shocks. Moreover, authorities should consider the asymmetric reaction of inflation to oil price shocks to adopt an appropriate monetary policy strategy to achieve the price stability target. Originality/value The paper used a quantile regression model with structural breaks, which has not yet been used in the literature. Citation: International Journal of Energy Sector Management PubDate: 2018-10-16T02:01:01Z DOI: 10.1108/IJESM-05-2018-0002
First page: 77 Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose One of the key drivers behind the recent growth in the global solar energy market is the decline in solar module prices. Many empirical analyses have been carried out to identify the mechanism behind this price reduction. However, studies on the price reduction mechanism of solar modules over the years have focused purely on the technological aspect of manufacturing. The purpose of this study is to consider the influence of economic and monetary factors such as the interest rate and exchange rate on solar module pricing in addition to other factors that considered in earlier studies including technology, wage rate and other energy prices. Design/methodology/approach In this paper, an oligopolistic model and econometric method are used to determine the economic factors that have an influence on solar module prices. The paper constructs a solar module pricing model and conducts a fully modified ordinary least squares analysis to estimate the influence of each factor. Analysis is conducted for the top five solar module producing countries in the world from 1997 to 2015. The five countries are the People’s Republic of China, Germany, Japan, the Republic of Korea and the USA. Findings Empirical analysis provides several findings concerning the solar module pricing mechanism. These vary for each country. However, generally the interest rate has a positive correlation with solar module prices, while the exchange rate, knowledge stock and oil price have a negative correlation with solar module prices. Practical implications First, the government must expand channels for renewable energy funding. As renewable industries are high-tech, the influence that capital cost has on technology price is significant. Government efforts to provide industries with low-interest finance will accelerate renewable business. There have been many attempts to lower interest rates for renewable energy technology to accelerate growth in the green technology market. Second, the government must expand research and development (R&D) expenditures focused on renewable energy technology. The technological advancements acquired through R&D enhance module performance efficiency, thereby reducing costs. Therefore, government policies aimed at increasing targeted R&D expenditure will be an effective means of expanding the installation of renewable energies. Originality/value Studies on the price reduction mechanism of solar modules over the years have focused purely on the technological aspect of the manufacturing. This is the first research to bring economic, monetary and technological factors of solar module pricing together. Citation: International Journal of Energy Sector Management PubDate: 2018-10-24T02:52:40Z DOI: 10.1108/IJESM-05-2018-0005
First page: 98 Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This paper aims to optimally plan distributed generation (DG) and capacitor in distribution network by optimizing multiple conflicting operational objectives simultaneously so as to achieve enhanced operation of distribution system. The multi-objective optimization problem comprises three important objective functions such as minimization of total active power loss (Plosstotal), reduction of voltage deviation and balancing of current through feeder sections. Design/methodology/approach In this study, a hybrid configuration of weight improved particle swarm optimization (WIPSO) and gravitational search algorithm (GSA) called hybrid WIPSO-GSA algorithm is proposed in multi-objective problem domain. To solve multi-objective optimization problem, the proposed hybrid WIPSO-GSA algorithm is integrated with two components. The first component is fixed-sized archive that is responsible for storing a set of non-dominated pareto optimal solutions and the second component is a leader selection strategy that helps to update and identify the best compromised solution from the archive. Findings The proposed methodology is tested on standard 33-bus and Indian 85-bus distribution systems. The results attained using proposed multi-objective hybrid WIPSO-GSA algorithm provides potential technical and economic benefits and its best compromised solution outperforms other commonly used multi-objective techniques, thereby making it highly suitable for solving multi-objective problems. Originality/value A novel multi-objective hybrid WIPSO-GSA algorithm is proposed for optimal DG and capacitor planning in radial distribution network. The results demonstrate the usefulness of the proposed technique in improved distribution system planning and operation and also in achieving better optimized results than other existing multi-objective optimization techniques. Citation: International Journal of Energy Sector Management PubDate: 2018-10-30T02:42:50Z DOI: 10.1108/IJESM-01-2018-0007
First page: 128 Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose This paper aims to identify factors affecting consumers’ purchasing intentions of energy-efficient products (energy awareness, perceived benefits, perceived price and consumers’ attitudes). Also, it examines the effect of consumers’ attitudes on purchasing intentions of energy-efficient products (EEP) from households’ perspectives in Jordan. Design/methodology/approach A self-administered survey was hand-delivered to the targeted sample of households in Amman, Jordan. A total of 516 questionnaires were delivered to households from which 474 were valid for the analysis. Exploratory and confirmatory factor analyses were performed to assess the research constructs dimensions, unidimensionality, validity and composite reliability. Structural path analysis was also used to test the hypothesised relationships of the proposed research model. Findings Energy awareness positively and significantly affects purchasing intentions, perceived benefits and consumer attitudes. Energy awareness negatively but non-significantly affects perceived price. Perceived benefits positively and significantly affect consumer attitudes and purchasing intentions. Further, perceived price negatively and significantly affects perceived benefits and consumers attitudes. Also, consumers’ attitudes positively and significantly affect purchasing intentions. Consumers’ attitudes exerted the strongest effect on purchasing intentions of EEP; meanwhile, consumers’ attitudes are a function of perceived benefits and energy awareness. Finally, the results show that 50 per cent of variation in purchasing intentions of EEP was caused by perceived benefits–consumers’ attitudes–energy awareness path. Research limitations Future research needs to investigate other factors that may affect households’ intentions of purchasing EEP such as perceived brand and image of EEP, perceived risk, word-of-mouth, subjective norms and households’ cost-saving experience. Investigating and identifying types of perceived benefits of purchasing EEP from households’ perspectives is also important. Comparative studies between Jordanian and non-Jordanian consumers/households are potential areas of future research. Methodologically, future research can conduct comparative analysis between households and energy industry engineers and managers perceptions’ with regard to determinants of perceived benefits and purchasing intentions. Practical implications This paper highlights the crucial role of perceived benefits and energy awareness in formulating households’ attitudes towards EEP and the vital role of such attitudes on purchasing intentions. Marketing directors and CEOs of the energy industry should recognised that perceived benefits, attitudes and energy awareness are vital building blocks in formulating and implementing marketing strategies to operate in this industry. Also, purchase intentions are a function of positive attitudes of household toward EEP and are at the heart of EEP marketing communications campaigns. Originality/value This is the first paper in the energy industry of Jordan devoted to develop and test a model of determinants of purchasing intentions of EEP that focuses on energy consumption behaviour. CEOs, international manufacturers and marketing managers of EEP can benefit from the study’s empirical findings concerning the drivers of EEP purchasing intentions and behaviour decisions of households in Jordan as an emerging market in the Middle East. Citation: International Journal of Energy Sector Management PubDate: 2018-10-31T01:40:51Z DOI: 10.1108/IJESM-05-2018-0009
First page: 149 Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose Load forecasting is important to any electrical grid, but for the developing and third-world countries with power shortages, load forecasting is essential. When planed load shedding programs are implemented to face power shortage, a noticeable distortion to the load curves will happen, and this will make the load forecasting more difficult. Design/methodology/approach In this paper, a new load forecasting model is developed that can detect the effect of planned load shedding on the power consumption and estimate the load curve behavior without the shedding and with different shedding programs. A neuro-Fuzzy technique is used for the model, which is trained and tested with real data taken from one of the 11 KV feeders in Najaf city in Iraq to forecast the load for two days ahead for the four seasons. Load, temperature, time of the day and load shedding schedule for one month before are the input parameters for the training, and the load forecasting data for two days are estimated by the model. Findings To verify the model, the load is forecasted without shedding by the proposed model and compared to real data without shedding and the difference is acceptable. Originality/value The proposed model provides acceptable forecasting with the load shedding effect available and better than other models. The proposed model provides expected behavior of load with different shedding programs an issue helps to select the appropriate shedding program. The proposed model is useful to estimate the real demands by assuming load shedding hours to be zero and forecast the load. This is important in places suffer from grid problems and cannot supply full loads to calculate the peak demands as the case in Iraq. Citation: International Journal of Energy Sector Management PubDate: 2018-10-24T02:58:20Z DOI: 10.1108/IJESM-03-2018-0008
First page: 166 Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose The main aim of this study was to examine whether any relationship exists between energy consumption and value added of the agricultural and industrial sector as well as the overall growth rate of the Nigerian economy. Design/methodology/approach The study used annualized time series data from 1971 to 2014 drawn from the World Bank Development Indicators, adopting an autoregressive distributed lag technique in the data analyses as well as the bound test and error correction representation. Findings There is a very strong evidence of the existence of a long-run relationship between energy consumption and indicators of economic growth. There are very strong proofs that economic growth and agricultural value added adjust to the shocks and dynamics of the studied energy-consumption-related variables while manufacturing value added proved otherwise. Originality value No study to the best of our knowledge has brought together aggregate growth, agricultural value added and manufacturing value added in the investigation of the energy consumption and economic growth nexus in one study using the Nigerian stylized economic environment. This represents the value added of this study and shows its originality. Citation: International Journal of Energy Sector Management PubDate: 2018-10-24T03:04:22Z DOI: 10.1108/IJESM-02-2018-0007
First page: 183 Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose There are thousands of areas excluded from using electrical energy in China. It is mainly because that these places, which are away from towns, have the characteristics of scattered living and low-power consumption and are difficult to construct the power grid. The utilization of energy in remote areas could improve the level of education and quality of life for people living in there, which has great social significance. However, how to choose the optimal power generation model quantitatively according to local energy advantages is a difficult problem. Design/methodology/approach To carry out a better assessment of the energy benefits of Chinese rural areas to assist the decision-making of energy utilization project, this paper takes Sunan Yugu Autonomous County in Gansu Province as an example. Four feasible energy utilization scenarios are proposed by analyzing its geographical conditions and re-source advantage, respectively, are photovoltaic power generation, biomass power generation, wind power generation and power grid extension. Based on the above scenarios, the evaluation index system of comprehensive utilization of energy in remote areas is constructed, and the comprehensive benefit of each model is evaluated by adopting entropy-based fuzzy comprehensive evaluation model. Findings Evaluation results show that the comprehensive benefits of photovoltaic power generation is the best, followed by power grid extension. Thus, preference should be given to the two models in the energy utilization in Sunan County. This evaluation model can provide a scientific reference for the selection decision-making of energy utilization project, which is helpful to provide the feasibility and efficiency of the construction of energy utilization project. Originality/value The authors construct the comprehensive benefit evaluation index system and evaluate the comprehensive benefits of different scenarios are by using entropy - fuzzy comprehensive evaluation model. Then the qualitative problem can be analyzed quantitatively. The purpose of this study is to support the decision-making of energy investment. Simultaneously, the paper also has some practical significance in improving the credibility of the government and the quality of local people’s life. Citation: International Journal of Energy Sector Management PubDate: 2018-10-11T02:41:32Z DOI: 10.1108/IJESM-12-2017-0001
First page: 212 Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose Offshore renewable energy technologies provide many new opportunities for coastal regions around the world, and although the energy policy literature has documented the success stories of many “first mover” regions, there is little guidance for “second mover” or “follower” regions. This paper aims to investigate the strategic challenges faced by coastal regions in the Channel area that are not first movers. Design/methodology/approach The authors use a multiple case study approach to analyse the behaviour of regional stakeholders when planning and assessing their participation in the renewable energy sector. Findings The paper reveals the tendency of regional planners to idealise investments in renewable energy. The negative consequences of idealisation are inadequate strategic visions. Research limitations/implications The findings are only relevant in the context of the regions that are part of the case study. Practical implications The paper illustrates how idealisation of technology or strategy is created and how it impacts strategic decision-making. It also discusses how to address idealisation. Social implications Although much of the energy policy literature discusses the challenge of social acceptance, this paper documents an opposite phenomenon, idealisation. There is a need in the energy sector to find a middle ground between these two extremes. Originality/value The paper provides evidence and a theoretical analysis of a decision-making bias, idealisation, which is not discussed in the literature. Citation: International Journal of Energy Sector Management PubDate: 2018-10-01T02:20:44Z DOI: 10.1108/IJESM-02-2017-0011
First page: 229 Abstract: International Journal of Energy Sector Management, Ahead of Print. Purpose Spain has one of the greatest photovoltaic potentials in Europe. The boom suffered in the photovoltaic sector during the years 2007 and 2008 led to instability in the electrical system, prompting the legislator to develop a large number of legislative changes trying to control the electric system tariff deficit. These measures profoundly affected plant owners creating a non-transparent secondary market, which are not covered by the current exchange platforms. The purpose of this paper is to analyze the current situation of the photovoltaic market in Spain, try to understand it based on its historical sequence and propose efficiency improvement measures, based on the implementation of best practices and market mechanisms. Design/methodology/approach This paper studies the legislative evolution in the photovoltaic sector in Spain and its effect on owners and investors. The authors propose an intermediation system that improves the efficiency of the secondary market. Findings The authors propose an intermediation system that improves the efficiency of the secondary market. Originality/value The authors have not found any other paper that proposes the creation of a market for photovoltaic facilities to increase efficiency. Citation: International Journal of Energy Sector Management PubDate: 2018-10-18T02:18:57Z DOI: 10.1108/IJESM-07-2018-0005
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