Pub Date : 2025-03-25DOI: 10.1016/j.esr.2025.101695
Fei-Wen Huang , Chi-Wei Su , Shengyao Yang , Meng Qin , Weike Zhang
To ensure energy security for emerging economies, it is imperative to explore the impacts of economic policy uncertainty (EPU) and geopolitical risk (GPR) on oil imports in China (COI) and India (IOI). An innovative wavelet quantile correlation framework is devised to dissect EPU-COI, GPR-COI, EPU-IOI, and GPR-IOI relations across quantiles and frequencies, utilising monthly data from January 2010 to December 2023. The relations between EPU and oil imports are initially positive due to inflexible plans, negative medium-term market readjustments, and favourable long-term diversification. GPR-COI relations are initially positive from inertia and price hikes, but they turn negative mid-term due to high prices, panic, and supply issues, reversing with diversification and regained confidence. GPR and IOI negatively correlate in the short-medium term but positively in the medium-long term. In comparison, GPR's negative impact on COI is more pronounced than EPU's, and the former's effect on IOI is quicker. EPU's impact on IOI is more detrimental than COI, while GPR's influence on IOI is faster. The study also uses wavelet quantile partial correlation to enhance robustness. Based on these findings, China and India will be offered crucial advice to stabilize oil imports amidst a complex economic and political backdrop.
{"title":"How do economic policy uncertainty and geopolitical risk affect oil imports? Evidence from China and India","authors":"Fei-Wen Huang , Chi-Wei Su , Shengyao Yang , Meng Qin , Weike Zhang","doi":"10.1016/j.esr.2025.101695","DOIUrl":"10.1016/j.esr.2025.101695","url":null,"abstract":"<div><div>To ensure energy security for emerging economies, it is imperative to explore the impacts of economic policy uncertainty (EPU) and geopolitical risk (GPR) on oil imports in China (COI) and India (IOI). An innovative wavelet quantile correlation framework is devised to dissect EPU-COI, GPR-COI, EPU-IOI, and GPR-IOI relations across quantiles and frequencies, utilising monthly data from January 2010 to December 2023. The relations between EPU and oil imports are initially positive due to inflexible plans, negative medium-term market readjustments, and favourable long-term diversification. GPR-COI relations are initially positive from inertia and price hikes, but they turn negative mid-term due to high prices, panic, and supply issues, reversing with diversification and regained confidence. GPR and IOI negatively correlate in the short-medium term but positively in the medium-long term. In comparison, GPR's negative impact on COI is more pronounced than EPU's, and the former's effect on IOI is quicker. EPU's impact on IOI is more detrimental than COI, while GPR's influence on IOI is faster. The study also uses wavelet quantile partial correlation to enhance robustness. Based on these findings, China and India will be offered crucial advice to stabilize oil imports amidst a complex economic and political backdrop.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101695"},"PeriodicalIF":7.9,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-24DOI: 10.1016/j.esr.2025.101679
Yuwen Wu , Liu Ziqi
This study addresses the critical need to understand how digital economy advancements and financial structures influence renewable energy technological innovations (RETI) in the eight major (M − 8) countries over the period from 2011 to 2022. Utilizing simultaneous quantile regression (SQR) and principal component analysis (PCA), the research aims to explore the dynamic relationship between RETI and the digital economy, with a focus on the mediating effects of financial and governance frameworks. The results reveal that a 1 % increase in the digital economy can lead to a 0.425 % boost in RETI development, while improvements in financial systems contribute an average of 1.396 % to RETI advancement. The study also highlights that the strength of these relationships varies across different quantiles, emphasizing the need for tailored policy interventions. These findings suggest that to effectively support the growth of RETI within the digital economy, it is crucial to implement reforms in economic and governance frameworks. The policy implications point to the importance of integrating financial and digital innovations in strategies aimed at fostering sustainable and innovative energy technologies in the M − 8 countries, guiding policymakers toward maximizing the convergence of these domains for a more sustainable future.
{"title":"Are advancements in renewable energy technologies being driven by the digital economy and financial structure? An overview of the key eight nations","authors":"Yuwen Wu , Liu Ziqi","doi":"10.1016/j.esr.2025.101679","DOIUrl":"10.1016/j.esr.2025.101679","url":null,"abstract":"<div><div>This study addresses the critical need to understand how digital economy advancements and financial structures influence renewable energy technological innovations (RETI) in the eight major (M − 8) countries over the period from 2011 to 2022. Utilizing simultaneous quantile regression (SQR) and principal component analysis (PCA), the research aims to explore the dynamic relationship between RETI and the digital economy, with a focus on the mediating effects of financial and governance frameworks. The results reveal that a 1 % increase in the digital economy can lead to a 0.425 % boost in RETI development, while improvements in financial systems contribute an average of 1.396 % to RETI advancement. The study also highlights that the strength of these relationships varies across different quantiles, emphasizing the need for tailored policy interventions. These findings suggest that to effectively support the growth of RETI within the digital economy, it is crucial to implement reforms in economic and governance frameworks. The policy implications point to the importance of integrating financial and digital innovations in strategies aimed at fostering sustainable and innovative energy technologies in the M − 8 countries, guiding policymakers toward maximizing the convergence of these domains for a more sustainable future.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101679"},"PeriodicalIF":7.9,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-24DOI: 10.1016/j.esr.2025.101703
María Celia López-Penabad , Ana Iglesias-Casal , José Manuel Maside-Sanfiz , Ons Ben Larbi
This scientometric study delves into the integration of clean energy and fintech within investment portfolios, emphasising their role in sustainable development and Environmental, Social, and Governance (ESG) objectives. Through a systematic literature review (SLR) and advanced bibliometric analyses, including co-citation, bibliographic coupling, co-word analysis, and thematic mapping, this body of research identifies key thematic clusters and methodological advancements. It highlights the role of clean energy in diversified and resilient portfolios, the dynamic interplay between energy markets and fintech innovations, and the significance of global crises, such as COVID-19, in reshaping research priorities. Novel methodologies, including time-varying parameter vector autoregressive models (TVP-VAR), time-frequency connectedness frameworks, wavelet quantile correlation (WQC), nonparametric causality in quantile approaches, the tail event driven network technique (TENET), empirical mode decomposition-windowed-cross-correlation (EMD-WCC), wavelet-windowed-cross-correlations and the cross-quantilogram approach are showcased as critical tools for understanding interconnected market dynamics. The findings underscore the evolving relationship between green bonds, ESG assets, and traditional financial instruments, with an emphasis on their hedging potential and systemic risk implications. Furthermore, the study explores the impacts of regional energy transitions, particularly in Europe, on economic stability and competitiveness. By integrating bibliometric tools with cutting-edge methodological insights, this paper offers actionable strategies for policymakers, investors, and researchers wishing to align financial practices with global sustainability goals, by fostering resilience in increasingly volatile markets.
{"title":"Clean energy and fintech: A scientometric study on spillovers and hedging in investment portfolios","authors":"María Celia López-Penabad , Ana Iglesias-Casal , José Manuel Maside-Sanfiz , Ons Ben Larbi","doi":"10.1016/j.esr.2025.101703","DOIUrl":"10.1016/j.esr.2025.101703","url":null,"abstract":"<div><div>This scientometric study delves into the integration of clean energy and fintech within investment portfolios, emphasising their role in sustainable development and Environmental, Social, and Governance (ESG) objectives. Through a systematic literature review (SLR) and advanced bibliometric analyses, including co-citation, bibliographic coupling, co-word analysis, and thematic mapping, this body of research identifies key thematic clusters and methodological advancements. It highlights the role of clean energy in diversified and resilient portfolios, the dynamic interplay between energy markets and fintech innovations, and the significance of global crises, such as COVID-19, in reshaping research priorities. Novel methodologies, including time-varying parameter vector autoregressive models (TVP-VAR), time-frequency connectedness frameworks, wavelet quantile correlation (WQC), nonparametric causality in quantile approaches, the tail event driven network technique (TENET), empirical mode decomposition-windowed-cross-correlation (EMD-WCC), wavelet-windowed-cross-correlations and the cross-quantilogram approach are showcased as critical tools for understanding interconnected market dynamics. The findings underscore the evolving relationship between green bonds, ESG assets, and traditional financial instruments, with an emphasis on their hedging potential and systemic risk implications. Furthermore, the study explores the impacts of regional energy transitions, particularly in Europe, on economic stability and competitiveness. By integrating bibliometric tools with cutting-edge methodological insights, this paper offers actionable strategies for policymakers, investors, and researchers wishing to align financial practices with global sustainability goals, by fostering resilience in increasingly volatile markets.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101703"},"PeriodicalIF":7.9,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-21DOI: 10.1016/j.esr.2025.101702
Muhammad Wasif Hanif , Mushtaque Ahmed Laghari , You Hua Chen , Muhammad Zahid
This research uses an operational approach to identify a new measure of the economic development gap. The statistic integrates a variety of economic growth indicators, including school enrollment rates, investment levels, employment rates, gender equality, availability of clean drinking water, foreign investment, and labor participation, into a single, simple metric. This method uses precise weights to represent many factors of economic growth. Using a broad dataset spanning 2002–2019 and including 128 nations, this study adopts a generalized method of moment regression framework to analyze the quadratic link between energy renewal and the economic progress gap. The results show that energy renewability is negatively correlated with the economic development gap in the form of an inverted U-shaped relationship. This study adds to the average regression analysis using panel quantile regression. This helps illustrate how the impact of renewable energy on the economic development gap varies at different levels. Countries are compared by grouping them into income levels. This helps us understand the differences and similarities in economic development between high-income, upper-middle-income, lower-middle-income, and low-income countries. This study is important because it is the first overall analysis of how energy use relates to differences in economic development around the world. The model serves as a basis for future research and policy-making. Our findings are important for policymakers and others seeking to balance renewable energy with economic growth. They can help create focused sustainable development strategies.
{"title":"Social and equity considerations in technology transfer and sustainable development: A policy implication for low & lower-middle-income countries","authors":"Muhammad Wasif Hanif , Mushtaque Ahmed Laghari , You Hua Chen , Muhammad Zahid","doi":"10.1016/j.esr.2025.101702","DOIUrl":"10.1016/j.esr.2025.101702","url":null,"abstract":"<div><div>This research uses an operational approach to identify a new measure of the economic development gap. The statistic integrates a variety of economic growth indicators, including school enrollment rates, investment levels, employment rates, gender equality, availability of clean drinking water, foreign investment, and labor participation, into a single, simple metric. This method uses precise weights to represent many factors of economic growth. Using a broad dataset spanning 2002–2019 and including 128 nations, this study adopts a generalized method of moment regression framework to analyze the quadratic link between energy renewal and the economic progress gap. The results show that energy renewability is negatively correlated with the economic development gap in the form of an inverted U-shaped relationship. This study adds to the average regression analysis using panel quantile regression. This helps illustrate how the impact of renewable energy on the economic development gap varies at different levels. Countries are compared by grouping them into income levels. This helps us understand the differences and similarities in economic development between high-income, upper-middle-income, lower-middle-income, and low-income countries. This study is important because it is the first overall analysis of how energy use relates to differences in economic development around the world. The model serves as a basis for future research and policy-making. Our findings are important for policymakers and others seeking to balance renewable energy with economic growth. They can help create focused sustainable development strategies.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101702"},"PeriodicalIF":7.9,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-21DOI: 10.1016/j.esr.2025.101697
Danqi Wei , Fayyaz Ahmad , Nabila Abid , Amber Gul
The advancement of renewable energy an essential stage toward achieving a low-carbon energy transition, with finance sector playing a significant role in this process. This study analyzes the impact of financial development on renewable energy technology innovation across 30 Chinese provinces from 2007 to 2019, focusing on key financial dimensions such as banks, bonds, stocks, and foreign direct investment. The research indicates that financial development significantly enhances innovation in renewable energy technology. Further heterogeneity analysis indicates that the inherent advantage of renewable energy resources impedes the pace of substitution for renewable energy technology innovation, while more market-oriented regions can more easily occupy the high value-added renewable energy technology innovation. The development pace of renewable energy technology innovation varies across regions, influenced by distinct renewable energy strategies. Foreign direct investment has produced contrary effects. The moderation test indicates that both investment-based and cost-based environmental regulations enhance the positive effect of financial capital on renewable energy technology innovation. The results establish a theoretical foundation for advancing renewable energy technology innovation and offer practical insights for facilitating the low-carbon transition in developing economies.
{"title":"Financial development and renewable energy technology: The heterogeneous role of energy endowment, market environment and policy support in Chinese provinces","authors":"Danqi Wei , Fayyaz Ahmad , Nabila Abid , Amber Gul","doi":"10.1016/j.esr.2025.101697","DOIUrl":"10.1016/j.esr.2025.101697","url":null,"abstract":"<div><div>The advancement of renewable energy an essential stage toward achieving a low-carbon energy transition, with finance sector playing a significant role in this process. This study analyzes the impact of financial development on renewable energy technology innovation across 30 Chinese provinces from 2007 to 2019, focusing on key financial dimensions such as banks, bonds, stocks, and foreign direct investment. The research indicates that financial development significantly enhances innovation in renewable energy technology. Further heterogeneity analysis indicates that the inherent advantage of renewable energy resources impedes the pace of substitution for renewable energy technology innovation, while more market-oriented regions can more easily occupy the high value-added renewable energy technology innovation. The development pace of renewable energy technology innovation varies across regions, influenced by distinct renewable energy strategies. Foreign direct investment has produced contrary effects. The moderation test indicates that both investment-based and cost-based environmental regulations enhance the positive effect of financial capital on renewable energy technology innovation. The results establish a theoretical foundation for advancing renewable energy technology innovation and offer practical insights for facilitating the low-carbon transition in developing economies.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101697"},"PeriodicalIF":7.9,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-20DOI: 10.1016/j.esr.2025.101698
Junjie Li , Lin Peng , Jie Zhang , Yirong Wang , Ziyi Li , Yulong Yan , Sheng Zhang , Menggang Li , Kechang Xie
Coal-based energy plays a vital role in powering the global economy, but generates substantial emissions of atmospheric pollutants and greenhouse gases. Cost-effective solutions to mitigating these emissions are a global priority for sustainable development. Although numerous mitigation technologies have been developed, their relative performance, development potential, and deployment pathways remain unclear from a unified perspective, highlighting the need for comprehensive technology assessment, scenario analysis, and pathway planning. The present study critically reviewed relevant literature to identify the key barriers to determining the dynamic links between technology-related parameters of emission, cost, and scale. To bridge the research gap, we propose a comprehensive methodology framework and explore specific approaches to include the impact mechanism of scale on emission and cost in technology assessment and the mutual influence mechanism between the scales of different technologies in scenario analysis. We then integrate these mechanisms to embed an emission-cost-scale dynamic response in pathway planning. The proposed framework and approaches can improve the scientific nature and accuracy of energy-environment-economy system modeling, and inform practical research and exploration to guide the sustainable management of coal-based energy.
{"title":"Synergetic mitigation of air pollution and carbon emissions of coal-based energy: A review and recommendations for technology assessment, scenario analysis, and pathway planning","authors":"Junjie Li , Lin Peng , Jie Zhang , Yirong Wang , Ziyi Li , Yulong Yan , Sheng Zhang , Menggang Li , Kechang Xie","doi":"10.1016/j.esr.2025.101698","DOIUrl":"10.1016/j.esr.2025.101698","url":null,"abstract":"<div><div>Coal-based energy plays a vital role in powering the global economy, but generates substantial emissions of atmospheric pollutants and greenhouse gases. Cost-effective solutions to mitigating these emissions are a global priority for sustainable development. Although numerous mitigation technologies have been developed, their relative performance, development potential, and deployment pathways remain unclear from a unified perspective, highlighting the need for comprehensive technology assessment, scenario analysis, and pathway planning. The present study critically reviewed relevant literature to identify the key barriers to determining the dynamic links between technology-related parameters of emission, cost, and scale. To bridge the research gap, we propose a comprehensive methodology framework and explore specific approaches to include the impact mechanism of scale on emission and cost in technology assessment and the mutual influence mechanism between the scales of different technologies in scenario analysis. We then integrate these mechanisms to embed an emission-cost-scale dynamic response in pathway planning. The proposed framework and approaches can improve the scientific nature and accuracy of energy-environment-economy system modeling, and inform practical research and exploration to guide the sustainable management of coal-based energy.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101698"},"PeriodicalIF":7.9,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-19DOI: 10.1016/j.esr.2025.101692
Rongrong Li , Qiang Wang , Sailan Hu
As the global demand for sustainable energy intensifies, achieving economic growth without carbon emissions has become both a critical challenge and an opportunity. This study investigates the potential of five major clean energy sources—solar, wind, hydroelectric, nuclear, and geothermal energy—in fostering economic growth while reducing carbon emissions. Despite the growing interest in clean energy, the comparative effectiveness of these energy sources in different economic and environmental contexts remains underexplored, particularly concerning their nonlinear relationships with economic development and emissions. To address this gap, this study uses a robust panel dataset covering 24 countries from 2005 to 2020, and employs fixed-effect and panel threshold models to uncover the nuanced relationships between clean energy consumption, GDP, and CO2 emissions. The results indicate a positive impact of clean energy consumption on economic growth across all five energy types, with solar and wind contributing to steady development. However, the relationship with CO2 emissions varies: solar, wind, and geothermal significantly reduce emissions, while hydroelectric and nuclear energy are associated with higher emissions due to infrastructure complexities. Threshold regression analysis further identifies nonlinear effects moderated by geopolitical risk. For solar and wind energy, the carbon-reducing impact becomes more pronounced when risk levels exceed the threshold, while hydroelectric and nuclear energy show escalating emissions in high-risk environments. This study highlights solar and wind energy as the most effective solutions for achieving carbon-free economic growth, while hydroelectric and nuclear energy require improved governance and risk management frameworks to minimize their environmental trade-offs.
{"title":"Economic growth without carbon emission: Comparative perspectives on solar, wind, hydroelectric, nuclear, and geothermal energy","authors":"Rongrong Li , Qiang Wang , Sailan Hu","doi":"10.1016/j.esr.2025.101692","DOIUrl":"10.1016/j.esr.2025.101692","url":null,"abstract":"<div><div>As the global demand for sustainable energy intensifies, achieving economic growth without carbon emissions has become both a critical challenge and an opportunity. This study investigates the potential of five major clean energy sources—solar, wind, hydroelectric, nuclear, and geothermal energy—in fostering economic growth while reducing carbon emissions. Despite the growing interest in clean energy, the comparative effectiveness of these energy sources in different economic and environmental contexts remains underexplored, particularly concerning their nonlinear relationships with economic development and emissions. To address this gap, this study uses a robust panel dataset covering 24 countries from 2005 to 2020, and employs fixed-effect and panel threshold models to uncover the nuanced relationships between clean energy consumption, GDP, and CO<sub>2</sub> emissions. The results indicate a positive impact of clean energy consumption on economic growth across all five energy types, with solar and wind contributing to steady development. However, the relationship with CO2 emissions varies: solar, wind, and geothermal significantly reduce emissions, while hydroelectric and nuclear energy are associated with higher emissions due to infrastructure complexities. Threshold regression analysis further identifies nonlinear effects moderated by geopolitical risk. For solar and wind energy, the carbon-reducing impact becomes more pronounced when risk levels exceed the threshold, while hydroelectric and nuclear energy show escalating emissions in high-risk environments. This study highlights solar and wind energy as the most effective solutions for achieving carbon-free economic growth, while hydroelectric and nuclear energy require improved governance and risk management frameworks to minimize their environmental trade-offs.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101692"},"PeriodicalIF":7.9,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-18DOI: 10.1016/j.esr.2025.101682
Edgar Hernando Sepúlveda-Oviedo
The rapid expansion of photovoltaic (PV) systems underscores the need to understand environmental factors affecting their performance, degradation, and economic viability. This study comprehensively reviews 175 articles, classifying environmental factors such as atmospheric deposits (dust, sea salt, pollen), meteorological conditions (wind, temperature, humidity, rainfall, snowfall, hailstorms), shading, and solar irradiation variability. A novel multilevel classification of degradation modes is introduced, identifying failure mechanisms and their impacts. Key findings reveal performance losses of up to 60%–70% due to combined factors, while mitigation strategies, such as wind-induced cooling, can improve power output by 14.25%, and snow accumulation results in up to 12% annual energy losses. Performance metrics like Performance Loss Rate (PLR) and Degradation Rate (DR) are evaluated to quantify long-term impacts, with economic implications including potential revenue losses and maintenance costs. For instance, addressing dust accumulation in arid regions could save 20%–30% in annual cleaning costs while reducing energy inefficiencies. Recent advancements in AI-driven predictive maintenance are highlighted as pivotal for optimizing system performance and minimizing costs. This integrated analysis provides actionable insights for researchers, engineers, and policymakers, emphasizing the need for tailored strategies to enhance PV resilience and economic sustainability. By addressing the interaction of environmental factors and introducing standardized metrics, this study fills critical research gaps, offering a roadmap for improving PV system reliability, reducing operational costs, and supporting the transition to sustainable energy under diverse environmental conditions.
{"title":"Impact of environmental factors on photovoltaic system performance degradation","authors":"Edgar Hernando Sepúlveda-Oviedo","doi":"10.1016/j.esr.2025.101682","DOIUrl":"10.1016/j.esr.2025.101682","url":null,"abstract":"<div><div>The rapid expansion of photovoltaic (PV) systems underscores the need to understand environmental factors affecting their performance, degradation, and economic viability. This study comprehensively reviews 175 articles, classifying environmental factors such as atmospheric deposits (dust, sea salt, pollen), meteorological conditions (wind, temperature, humidity, rainfall, snowfall, hailstorms), shading, and solar irradiation variability. A novel multilevel classification of degradation modes is introduced, identifying failure mechanisms and their impacts. Key findings reveal performance losses of up to 60%–70% due to combined factors, while mitigation strategies, such as wind-induced cooling, can improve power output by 14.25%, and snow accumulation results in up to 12% annual energy losses. Performance metrics like Performance Loss Rate (PLR) and Degradation Rate (DR) are evaluated to quantify long-term impacts, with economic implications including potential revenue losses and maintenance costs. For instance, addressing dust accumulation in arid regions could save 20%–30% in annual cleaning costs while reducing energy inefficiencies. Recent advancements in AI-driven predictive maintenance are highlighted as pivotal for optimizing system performance and minimizing costs. This integrated analysis provides actionable insights for researchers, engineers, and policymakers, emphasizing the need for tailored strategies to enhance PV resilience and economic sustainability. By addressing the interaction of environmental factors and introducing standardized metrics, this study fills critical research gaps, offering a roadmap for improving PV system reliability, reducing operational costs, and supporting the transition to sustainable energy under diverse environmental conditions.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101682"},"PeriodicalIF":7.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-18DOI: 10.1016/j.esr.2025.101685
Minggui Zheng, Jingsheng Ni, Juan Dong
The security situation of the global petroleum industry chain and supply chain network has undergone significant changes, especially during events such as the pneumonia pandemic. As a country with significant changes in the petroleum industry and supply chain, studying China is of great significance. At the same time, the overall research on the security of the petroleum industry chain and supply chain is not yet complete. Therefore, starting from node resilience and structural resilience, this study constructs a research system for preparation, stability, resistance, and reconstruction, which can comprehensively study the security of the petroleum industry chain and supply chain. Research has found that: (1) The central countries of the petroleum industry chain and supply chain are relatively fixed, concentrated in countries such as the United States, China, the Netherlands, and Canada. (2) The petroleum industry chain and supply chain network are all heterogeneous networks, and there are significant differences in the countries in the network. (3) In the supply chain network of the petroleum industry chain, the efficiency of the network will sharply decrease before the ratio of node to edge losses reaches a certain value. (4) In the petroleum industry chain and supply chain network, countries located at the hub will prioritize recovery. Research is of great significance for maintaining the security of the petroleum industry chain and supply chain.
{"title":"Research on the resilience of petroleum industry chain and supply chain network from the perspective of China","authors":"Minggui Zheng, Jingsheng Ni, Juan Dong","doi":"10.1016/j.esr.2025.101685","DOIUrl":"10.1016/j.esr.2025.101685","url":null,"abstract":"<div><div>The security situation of the global petroleum industry chain and supply chain network has undergone significant changes, especially during events such as the pneumonia pandemic. As a country with significant changes in the petroleum industry and supply chain, studying China is of great significance. At the same time, the overall research on the security of the petroleum industry chain and supply chain is not yet complete. Therefore, starting from node resilience and structural resilience, this study constructs a research system for preparation, stability, resistance, and reconstruction, which can comprehensively study the security of the petroleum industry chain and supply chain. Research has found that: (1) The central countries of the petroleum industry chain and supply chain are relatively fixed, concentrated in countries such as the United States, China, the Netherlands, and Canada. (2) The petroleum industry chain and supply chain network are all heterogeneous networks, and there are significant differences in the countries in the network. (3) In the supply chain network of the petroleum industry chain, the efficiency of the network will sharply decrease before the ratio of node to edge losses reaches a certain value. (4) In the petroleum industry chain and supply chain network, countries located at the hub will prioritize recovery. Research is of great significance for maintaining the security of the petroleum industry chain and supply chain.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101685"},"PeriodicalIF":7.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-17DOI: 10.1016/j.esr.2025.101701
Simona-Vasilica Oprea, Adela Bâra
Locally trading Renewable Energy Sources (RES) leads to significant cost savings and promotes sector coupling. Local Electricity Markets (LEM) incentivize the deployment of more RES installations, thereby reducing dependency on fossil fuels and lowering carbon emissions. RES have the potential to decarbonize heating and incentivize e-mobility. In this paper, two innovative pricing mechanisms for LEM are proposed. Uniform price (UP) mechanism with price caps & floors and post-auction price adjustment (CUPA-PPA) imposes auction price caps to prevent excessively low or high prices, excluding bids below/above the Feed-in Tariff (FiT)/Time-of-Use (ToU) rates. For any remaining buying quantity, the post-auction prices are adjusted iteratively until equilibrium using the Newton-Raphson method, ensuring transactions occur within the FiT and ToU range. The second mechanism combines UP with a mediating Peer-to-Peer (CUPA-P2P) trading. These mechanisms aim to enhance trading opportunities, increase RES usage and better link electricity, heating and transportation, while ensuring price stability and fairness. They provide a more equitable distribution of savings (as evidenced by the lower Gini index) and greater savings compared to UP, with both metrics showing stronger performance in the summer (0.14/19 %) than in the winter (0.18/4.32 %). Moreover, the traded quantities increase almost three times in both winter and summer months.
在当地交易可再生能源 (RES) 可显著节约成本并促进部门耦合。地方电力市场（LEM）激励部署更多的可再生能源装置，从而减少对化石燃料的依赖并降低碳排放。可再生能源具有实现供热去碳化和激励电动汽车的潜力。本文提出了两种创新的 LEM 定价机制。带有价格上限和下限以及拍卖后价格调整（CUPA-PPA）的统一价格（UP）机制规定了拍卖价格上限，以防止价格过低或过高，排除低于/高于上网电价（FiT）/使用时间费率（ToU）的出价。对于任何剩余的购买量，拍卖后的价格将使用牛顿-拉斐逊法反复调整，直至达到平衡，确保交易在 FiT 和 ToU 范围内进行。第二种机制将 UP 与调解性点对点交易（CUPA-P2P）相结合。这些机制旨在增加交易机会，提高可再生能源的使用率，更好地将电力、供热和运输联系起来，同时确保价格稳定和公平。与 UP 相比，它们提供了更公平的节约分配（如较低的基尼指数所示）和更大的节约，这两个指标在夏季（0.14/19 %）比冬季（0.18/4.32 %）表现更强。此外，冬季和夏季的交易量几乎都增加了三倍。
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