Implications For Energy Policy Research Articles

Multidimensional assessment of energy transition and policy implications

This study evaluated quantitatively the global energy transition using 13 indicators across four dimensions: availability, affordability, environmental sustainability, and technology development. The composite scores on the four dimensions and indicators were measured by the average weight and geometric mean method. The results show that the total average scores of 88 countries increased from 0.15 in 1990 to 0.24 in 2020. Although the transition process is slow, its trend is clear, showing obvious imbalances in time and space. 88 sample countries were divided into four echelons by 0.2 score steps. The scores on availability and affordability dimensions maintained steady growth over the time series, with the countries rising most quickly in rank being mainly Asian emerging economies and energy-exporting countries. The scores showed a diversity of change on environmental sustainability and technology development dimensions, where the countries that rose in rank most quickly were mainly distributed in the European region. Overall, the cleanliness and sustainability of energy use is the critical factor affecting energy transition, and technological progress will accelerate this transition process. Policy implications and recommendations for energy transition of China are drawn from the empirical results. This approach can also be extended to investigate similar issues in other countries.

Feasibility Assessment of Hybrid Renewable Energy Based EV Charging Station in Libya

This study presents an assessment of the feasibility of implementing a hybrid renewable energy-based electric vehicle (EV) charging station at a residential building in Tripoli, Libya. Utilizing the advanced capabilities of HOMER Grid software, the research evaluates multiple scenarios involving combinations of solar and wind energy sources integrated with energy storage and the utility grid. This analysis provides a novel approach to enhancing urban energy systems with renewable technologies in a region traditionally reliant on fossil fuels. Key contributions of this study include the demonstration of an innovative integration strategy that combines solar and wind power with battery storage to ensure a reliable and efficient energy supply for EV charging. Furthermore, the study addresses the practical implications for local energy policy, suggesting that such hybrid systems can significantly enhance energy security and support sustainable urban development. The authors studied five scenarios using HOMER. The results reveals that the annual total costs and payback periods are as follows: for Scenario 1 (wind/utility grid), the expenditure totals US$1,554,416 and payback period of 4.8/5.8 years; for Scenario 2 (solar/wind/Utility grid), the amount is US$1,554,506 and payback period of 4.8/5.8 years; and for Scenario 3(solar/wind/storage/utility grid), it escalates slightly to US$1,554,731, all predicated on the utility grid tariffs and payback period of 4.8/5.8 years. Furthermore, in Scenario 4 (solar/utility grid), the annual total cost is significantly reduced to US$30,589 and a payback period of 8.1/14.3 years, while Scenario 5 (solar/storage/utility grid) incurs an even lower expenditure of US$28,572, again based on the utility grid tariffs and a payback period of 14.0 years. The findings contribute valuable insights into the scalability and adaptability of renewable energy solutions, providing a robust framework for policymakers and planners considering similar implementations in other regions. Overall, the research underscores the potential of integrated renewable energy systems to transform urban energy infrastructures, promoting a sustainable and resilient energy future. The HOMER Grid analysis shows that configurations with energy storage are more cost-effective in the long run, even though they require higher initial costs. It also offers important insights into the economic viability and optimization of hybrid renewable energy systems for an EV charging station in Tripoli, Libya. These results highlight the significance of making calculated investments in renewable energy infrastructure and supporting policies for the development of sustainable energy.

Changes in the Global Structure of Energy Consumption and the Energy Transition Process

The global energy transition represents a pivotal aspect of the pursuit of sustainable development and the reduction of greenhouse gas emissions. The objective of this study was to examine the dynamic relationships between global primary energy consumption and the consumption of individual energy sources (nuclear, oil, coal, natural gas, renewables) from 2011 to 2023. To examine both long-run and short-run relationships between variables, advanced econometric methods were employed, including the Johansen cointegration test and the Vector Error Correction Model (VECM). Furthermore, an Index of Sustainable Energy Transformation (ISTE) was devised to quantify the advancement of the transition to low-carbon energy sources. The analysis confirms the existence of long-term equilibrium relationships between global primary energy consumption and the consumption of individual energy sources. The analysis revealed that renewable energy consumption exerts a considerable influence on primary energy consumption, both in the short and long term. The ISTE index demonstrated a notable increase over the period of 2011 to 2023, indicative of advancement in the global energy transition. The results confirm the existence of a stable long-term equilibrium between global primary energy consumption and the consumption of individual energy sources. The observed increase in the ISTE index indicates progress towards low-carbon energy sources, which has important implications for energy policy and sustainable development. The results can support policymakers in monitoring the progress of the energy transition and shaping policies to accelerate the development of renewable energy sources.

Energy policy implications of Ecuador’s NDC

In the third national communication submitted by Ecuador, the total greenhouse gases (GHG) emission was calculated at 80,627 GgCO2-eq, considering the country’s commitment to the Framework on Climate Change. In 2018, Ecuador ratified its nationally determined contribution (NDC) to reduce its GHG emissions by 11.87% from the business-as-usual (BAU) scenario by 2025. The macroeconomic impacts of NDC implementation in the energy sector are discussed. A Computable Equilibrium Model applied to Ecuador (CGE_EC) is used by developing scenarios to analyze partial and entry implementation, as well as an alternative scenario. Shocks in exogenous variables are linked to NDC energy initiatives. So, the NDC’s feasibility depends on guaranteeing the consumption of hydropower supply, either through local exports or domestic demand. In the last case, the government’s Energy Efficiency Program (PEC) and electricity transport have important roles, but the high levels of investment required and poor social conditions would impair its implementation. NDC implementation implies a GDP increase and price index decrease due to electricity cost reductions in the productive sector. These conditions depend on demand-supply guarantees, and the opposite case entails negative impacts on the economy. The alternative scenario considers less dependence on the external market, achieving higher GDP, but with only partial fulfillment of the NDC goals.

Anti-fracking protests and compliance with police: An examination of public opinion in the Anthropocene

Few studies that investigate public views about compliance with police consider the environmental movement. The present study helps fill this gap in the literature by investigating attitudes about protester compliance with police at anti-fracking protests. Study data come from a representative sample of adults living in the United Kingdom ( n = 1051). Multivariate findings generated by ordinary least squares (OLS) regression and structural equation modelling show that the public is less likely to agree that anti-fracking protesters should obey police commands when they perceive that hydraulic fracturing is a risk. Moreover, views about hydraulic fracturing, the environment, protest and protesters all appear to influence perceptions that anti-fracking protest police act in ways that are procedurally (un)just. Procedural justice, in turn, is positively correlated with people’s attitudes that anti-fracking protesters should comply with police. These findings have important implications for future UK energy policy and state legitimacy.

Optimal Scheduling of PV Panel Cleaning and Policy Implications Considering Uncertain Dusty Weather Conditions in the Middle East

Airborne dust easily accumulates on the top of solar panel surfaces and reduces the output power in arid regions. A commonly used mitigation solution for dust deposition issues is cleaning PV panels periodically. However, cleaning frequency affects the economic viability of solar PV systems, resulting in a trade-off between cleaning costs and energy loss costs. To address this issue, this study relates several metrics and develops a generic framework based on simulation and optimization to determine the optimal cleaning interval. Based on the computational tests, the optimal cleaning interval in Abu Dhabi is determined to be 34 days, which is longer than the currently recommended cleaning interval of 28 days. This study also identifies that energy recovery is responsive to decreases in unit cleaning costs in the presence of high electricity tariffs, whereas total cost savings show sensitivity when electricity tariffs are low. Finally, this study discusses energy policy implications by presenting an innovative concept involving the introduction of a cleaning subsidy which could reshape energy system cost dynamics, making PV systems economically competitive beyond the conventional levelized cost of electricity.

Maintaining reliability in a 100% decarbonized power sector: The interrelated role of flexible resources

Reliability will remain a key requirement for decarbonized power sectors, but also a concern with the high penetration of variable renewable energy (VRE). The traditional approach for reliability is by producing enough energy and adapting rapidly to changes in load with the dispatch of fossil fuel power plants, especially natural gas power plants. However, this will have to evolve as decarbonization progresses. Can various flexibility resources such as transmission, storage and demand response provide the same reliability benefits? This paper uses a detailed, capacity expansion and hourly operation model to investigate the possibility and the cost of reaching different levels of planning reserve margins (PRM), in the multi-regional context of the North American Northeast. We find that while it is possible to entirely avoid natural gas power plants or nuclear ones to obtain high PRM, it would come at a very high cost and would require high levels of transmission, storage and demand response. We also detail why these three flexibility resources are needed in combination. The implications for energy policies are significant: in order for power system's cost to remain reasonable, reliability must count on some carbon-neutral natural gas or nuclear generation, along with interties with neighboring systems, storage and high levels of demand response.

Exergy and Energy Analysis of Bifacial PV Module Performance on a Cloudy Day in Saudi Arabia

Bifacial solar modules, capable of harvesting sunlight from both sides, present a promising pathway for sustainable energy generation. This study examines the performance of bifacial modules on a cloudy day through comparative exergy and energy analyses. The analysis considers both the quality and quantity of energy produced by bifacial and monofacial modules. Conducted at Qassim University in Buraydah City, Saudi Arabia, the study recorded measurements during two intervals on a cloudy day using a real-time photovoltaic measurement system. Module performance was evaluated concerning energy yield, exergy yield, and solar irradiance, factoring in ambient and module temperatures. The results demonstrate that bifacial modules outperformed monofacial modules in electrical energy and output exergy. In the first period, the bifacial modules showed a 9.5% higher exergy efficiency and a 7% greater energy efficiency compared to the monofacial modules. During the second period, the bifacial modules achieved a 4.5% higher exergy efficiency and a 3.5% increased energy efficiency over the monofacial modules. These findings contribute to global sustainability efforts by reducing fossil fuel dependence and optimizing bifacial PV module design and operation for enhanced energy and exergy efficiency, even in cloudy conditions. The study’s implications for sustainable development and energy policies underscore the essential role of advanced PV technologies in achieving sustainable energy goals.

Climate change and the impact of religious tourism in Saudi Arabia’s energy landscape

ABSTRACT This study aims to illuminate the intricate dynamics among religious tourism, energy consumption, and climate change within the Kingdom of Saudi Arabia (KSA), which stands as one of the globe’s principal reservoirs of petroleum energy resources. To accomplish this, we employ an Autoregressive Distributed Lag (ARDL) model, utilizing a dataset that spans a pivotal political transition in the KSA. Notably, we undertake an examination of two temperature specifications, linear and non-linear, to discern their influence on the relationship between Islamic tourism, temperature variations, and electricity consumption. Our findings reveal a noteworthy contrast between the linear and non-linear models, bolstering the significance of our investigation. Furthermore, the results establish a robust long-term connection among these variables. Importantly, our analyses indicate that a surge in tourist numbers during periods of elevated temperatures positively correlates with heightened energy consumption, thereby contributing to environmental degradation. These findings bear significant implications for energy and tourism policies within Saudi Arabia, particularly in the context of the nation’s 2030 vision. By shedding light on these intricate interrelations, our study offers a valuable perspective for steering sustainable practices in the realms of energy consumption and tourism in the KSA.

BRIC in flux: Understanding the influence of energy policy uncertainty on foreign direct investment flows

AbstractThis research investigates the intricate relationship between energy policy uncertainty (EGU) and foreign direct investment (FDI) within the BRIC economies over a comprehensive 27‐year period, spanning from 1996 to 2022. Employing advanced econometric techniques such as FMOLS and DOLS for regression analysis, the study unravels the nuanced impacts of EGU on both FDI inflows (IFD) and outflows (OFD). Drawing upon a comprehensive data set, the analysis reveals a significant negative correlation between EGU and IFD, indicating that heightened energy policy uncertainties deter foreign capital from entering BRICS nations. Contrarily, the study unveils a paradoxical positive relationship between EGU and OFD, suggesting that energy policy uncertainties stimulate the outflow of FDI, reflecting the adaptive strategies of multinational corporations navigating uncertainties. The study further explores the role of government effectiveness, labour force and financial sector development, shedding light on their positive influences on IFD and negative impacts on OFD. These findings underscore the importance of effective governance, a skilled labour force, and financial sector development in attracting and retaining foreign investments. This research contributes to the literature on energy policy, governance and FDI, offering policymakers and businesses nuanced insights into crafting strategies that enhance the attractiveness of BRIC nations for foreign investments. The study's findings have implications for shaping stable energy policies, improving governance effectiveness and fostering conditions conducive to sustained economic growth and development.

The driving forces behind renewable energy consumption: A comprehensive analysis of key determinants and environmental concerns in ASEAN countries.

Renewable energy consumption is a crucial solution to addressing pressing environmental issues, particularly climate change and air pollution. Investigating the factors that drive its adoption is highly significant, as it provides policymakers and stakeholders with valuable insights to accelerate the transition to renewable energy sources. Through this approach, we can minimise the negative consequences of our reliance on fossil fuels, thereby protecting the integrity of the environment. Therefore, the primary goal of this study is to thoroughly investigate the main factors that influence renewable energy consumption and environmental change in six specifically chosen ASEAN countries. The stationarity of the 1990-2019 data was tested using panel data techniques such as Levin, Lin, and Chu (LLC), Im Pesaran (IPS), and the Shin W-stat test. According to the stationarity tests, after the first order, all variables exhibit stationarity. Additionally, Pedroni's co-integration test result confirmed that there was a long-term relationship among the variables. Different methods, such as dynamic ordinary least squares (DOLS), fully modified ordinary least squares (FMOLS), and pooled ordinary least squares (POLS), are used for cointegration estimating. The results suggest that there is a positive co-integration between renewable energy use and GDP in six ASEAN countries, indicating a long-term relationship. The positive relationship between GDP and renewable energy use suggests that economic growth is the primary driving force behind ASEAN's renewable energy adoption. However, factors like carbon emissions, population density, and foreign direct investment (FDI) negatively impact the demand for renewable energy. The limited availability of renewable energy in certain ASEAN countries may discourage foreign direct investment (FDI) due to the inverse relationship between FDI and renewable energy use. The studies also revealed that carbon emissions, which contribute to environmental pollution, do not motivate industries to invest in renewable energy. This finding would challenge the Environmental Kuznets Curve (EKC) hypothesis. According to the EKC, there is a significant transition towards renewable energy as a response to environmental degradation. However, it is worth noting that several ASEAN countries have experienced economic growth while also experiencing higher levels of carbon emissions. Given that economic expansion might not be environmentally beneficial, this research has implications for ASEAN energy policies. The ASEAN region faces a challenge in investing in renewable energy due to the excessive dependence on fossil fuels. Therefore, an in-depth evaluation of the main factor behind ASEAN's environmental concerns, which promotes the adoption of renewable energy, can greatly influence policy decisions, particularly in attaining net zero emissions. Policymakers can utilise this comprehensive analysis to establish informed objectives for policies related to renewable energy and develop strategic plans, i.e. reforming fuel subsidies. The goal is to encourage the development of environmentally friendly and sustainable energy plans for the future in the ASEAN region.

Trusting the minister or trusting the mayor? Perceived competence and integrity of central and local Dutch institutions governing energy matters

Phasing out fossil fuels is inherent to sustainable energy transitions, but implementing energy policies related to phasing out processes involves risks that may affect their public support. Trust in institutions responsible for handling these risks is crucial for public acceptability, as it serves as a heuristic for risk assessment. In the current study, using the Dutch energy scenario, we examine how trust in institutions relates to public support for phasing out natural gas in the Netherlands. We build from previous research by examining this for the two types of trust most commonly distinguished in the literature, namely competence- and integrity-based trust, and for institutions operating at both national and local levels. Results showed that trust depends on the type of trust people evaluate and on the institution’s level of operation. Locally, institutions are seen as more honest and transparent, while nationally, they’re perceived as more skilled and having more knowledge. Further, integrity-based trust in both local and national institutions better explained public support for phasing out natural gas than competence-based trust. We discuss these results in terms of their implications for energy policy, suggesting policymakers consider trust dynamics and tailor strategies based on trust dimensions and institutional levels to facilitate phasing out processes.

Lessons from Regional Electricity Demand Change following Natural Disasters in Japan

Analyzing the impact of electricity price changes on electricity demand helps in energy supply planning. This study estimated the electricity demand functions of households and industries, as well as the impact of electricity price hikes on electricity demand following natural disasters. We found that structural changes occurred in various regions' electricity demand's price elasticity following natural disasters. Furthermore, the results showed that the decrease in consumer surplus associated with higher electricity prices was more significant in regions that depended on nuclear power. These results have important implications for regional energy policies.

Energy Policy until 2050—Comparative Analysis between Poland and Germany

The article presents a comprehensive study of the energy strategies of both countries, aimed at achieving their goals by 2050. A literature review presents global trends in energy policy, the current situation in Poland and Germany, and the importance of sustainable energy. For Poland and Germany, the current situation, goals, and strategies for 2050 are described, and the results of surveys carried out using a survey questionnaire are presented. A comparative analysis included a comparison of the goals and strategies of both countries and the results of surveys, presented in tabular form. This analysis drew conclusions regarding the differences and similarities in the approach of both countries to energy policy. The “Challenges and Prospects” section identifies potential challenges and presents opportunities and recommendations for the future. In conclusion, the article provides a thorough analysis, based on the methodology of a literature review, survey questionnaire, and tabular analysis, and contains important conclusions and implications for energy policy in Poland and Germany. The article also addresses the limitations of the study that may affect the interpretation of the results.

Leveraging machine learning to forecast carbon returns: Factors from energy markets

Carbon market is the most effective market tool for carbon emission reduction. China, the largest carbon emitter in the world, established the national carbon market in 2021, covering over 2000 key units in the power sector. Therefore, the forecasting of carbon price has profound implications for environmental and energy policies. In this paper, two traditional econometric model and three kinds of machine learning (ML) algorithms are used to predict carbon returns in the Chinese carbon trading market based on carefully selected predictors. Among all forecasting models, the Random Forest (RF) has the best forecasting performance, followed by some GARCH models using various factors. Compared with the traditional benchmark of ARMA model, the BP neural network (BP) and the GA improved BP method (GA-BP) are less competitive in predicting carbon returns in China because of their large forecasting errors. According to the optimal model, social attention to the carbon market, the international crude oil returns and the overall performance of the stock market are the most important predictors. The findings are robust to the change in the sample set. Overall, the ML approach shows an advantage in forecasting carbon returns, but the selection of predictors is also important.

Electromobility and Renewable Energy Sources: Comparison of Attitudes and Infrastructure in Poland and Germany

In the face of global challenges related to climate change and sustainable development, comparing attitudes and infrastructure in the field of electromobility and renewable energy sources in different countries becomes crucial. The question of differences and similarities between Poland and Germany in these areas sheds light on the unique challenges and opportunities that the two countries present to each other. The aim of the study is to understand these dynamics, which can contribute to the shaping of more effective policies and strategies for green energy and sustainable mobility. This study was conducted through a review of Polish and foreign literature, the use of the method of tabular comparisons, and the analysis of a questionnaire that was used. These complex methods combined both quantitative and qualitative analysis, which allowed for an in-depth understanding and comparison of attitudes and infrastructure related to electromobility and renewable energy sources in Poland and Germany. The study revealed significant differences and similarities between Poland and Germany in terms of electromobility and renewable energy sources. Germany shows a higher level of urbanization, a higher share of electric car ownership, and better charging infrastructure, while in Poland there is a strong belief in the key role of renewable energy sources. These findings may have implications for future green energy initiatives and policies in both countries. The study presents a complex picture of electromobility and renewable energy sources in Poland and Germany, showing clear differences in awareness, infrastructure, and attitudes. Germany seems to be more advanced in these areas, while Poland shows a strong commitment to renewable energy sources. These conclusions do not exaggerate the differences, but underline the need for a case-by-case approach to green energy strategies in both countries.

Determinants of the renewable energy consumption: The case of Asian countries

In recent year, Asia has rapid economic growth and policy makers care about the renewable energy consumption. The motivation about the choice of variables with theory and empirical backing on the subject in the manuscript is the theory of Cobb- Douglas function and determinants of renewable energy consumption in the Asian countries. This paper investigates the nexus of electricity consumption, fossil fuel consumption, foreign direct investment inflows, economic growth, and renewable energy consumption in Asian countries. Utilizing panel data analysis, the study finds significant interrelationships among these factors and highlights their implications for energy policy and sustainable development in the region. This article aims to use the Cobb- Douglas Model to analyze the factors affecting renewable energy consumption at Asian developed countries for sustainable development goals. This study collected data from World Bank in the period 2000–2020 of 06 developed countries such as Japan, Korea, Singapore, Hong Kong, Israel and China. The empirical research results show that the electricity consumption, fossil fuel consumption, foreign direct investment inflows, economic growth affect the environmental pollution in 06 Asian developed countries. The electricity consumption, foreign direct investment inflows, economic growth positively affect to the renewable energy consumption. If the electricity consumption increases 1 % then the renewable energy consumption up 0.6 %; if the foreign direct investment inflows up 1 % then the renewable energy consumption up 0.82 %; If the economic growth up 1 % then renewable energy up 2.73 %. In addition, fossil fuel consumption negatively affects the renewable energy consumption. If the fossil fuel consumption increases 1 % then the renewable energy consumption down 0.26 %. The paper offers conclusions and recommendations for Asian countries to address these interconnected issues and transition towards a more sustainable energy future.

Robust Optimization for Uncertain Pathways: Converting Natural Gas into Liquid Transportation Fuels in an Unpredictable Environment

This journal article, titled "Robust Optimization for Uncertain Pathways: Converting Natural Gas into Liquid Transportation Fuels in an Unpredictable Environment," delves into the pivotal intersection of energy, uncertainty, and optimization within the context of liquid transportation fuel production from natural gas. The study addresses the challenges posed by the inherent unpredictability in the energy landscape, offering a robust optimization framework as a strategic solution.
 The research focuses on the conversion of natural gas into liquid transportation fuels, a process susceptible to dynamic and uncertain factors such as market fluctuations, geopolitical events, and technological advancements. The proposed robust optimization model aims to enhance the decision-making process under these uncertainties, providing a resilient strategy for sustainable fuel production.
 Through a comprehensive analysis, the study incorporates diverse scenarios and uncertain parameters into the optimization model, considering variations in market demand, feedstock prices, and regulatory landscapes. The robust optimization framework optimally adapts to these uncertainties, ensuring that the liquid transportation fuel production pathway remains resilient and economically viable in diverse future scenarios.
 The results demonstrate the effectiveness of the robust optimization approach in mitigating risks and maximizing the economic feasibility of natural gas-derived liquid transportation fuels. The findings have implications for energy policy, industrial planning, and investment decisions, offering a valuable tool for stakeholders navigating the complex and unpredictable terrain of the energy sector.
 In conclusion, this article contributes to the evolving discourse on robust optimization strategies in energy systems, providing insights that are crucial for policymakers, industry professionals, and researchers seeking sustainable and adaptive solutions for the production of liquid transportation fuels from natural gas in an uncertain and dynamic environment.

Firming Technologies to Reach 100% Renewable Energy Production in Australia’s National Electricity Market (NEM)

Australia has committed to reducing its greenhouse gas emissions in a manner consistent with limiting anthropogenic climate change to no more than 2 degrees Celsius. One of the ways in which this commitment is being realised is through a shift towards variable renewable energy (VRE) within Australia’s National Electricity Market (NEM). Substituting existing dispatchable thermal plant with VRE requires consideration of long-term energy resource adequacy given the unpredictability of solar and wind resources. While pumped hydro and battery storage are key technologies for addressing short-term mismatches between resource availability and demand, they may be unable to cost effectively address ‘energy droughts’. In this article, we present a time sequential solver model of the NEM and an optimal firming technology plant mix to allow the system to be supplied by 100% VRE. Our conclusion is that some form of fuel-based technology (most likely hydrogen) will probably be required. This has important implications for Australian energy policy.

Exploring The Relationship between Energy Sources, CO2 Emissions and Sustainable Development in Türkiye

Sustainable development has become a major focus of attention worldwide, with numerous initiatives aimed at improving economic development, social equality, natural resource consumption, and social and healthy living while preserving the quality of life. Energy consumption is a crucial input to economic activities, but its impact on sustainable development can be both positive and negative. In this study, the impact of renewable and non-renewable energy sources and CO2 emissions on sustainable development in Turkiye was investigated using time series analysis for the years between 1972 and 2015. The results suggest that increasing the use of renewable energy sources has a positive effect on sustainable development, whereas fossil fuel energy consumption and CO2 emissions have a negative impact. The findings of this research have important implications for Turkiye's energy policy and its efforts to achieve sustainable development goals.