{"title":"International mineral trade-cleaner energy transformation nexus: How decomposed mineral prices and geopolitical events act?","authors":"Md. Monirul Islam , Oleg Mariev , Kazi Sohag","doi":"10.1016/j.esr.2025.101699","DOIUrl":"10.1016/j.esr.2025.101699","url":null,"abstract":"<div><div>In the global transition to cleaner energy, the role of international mineral trade, which is subject to price volatility and geopolitical competition, is crucial yet complex. This study investigates the dynamic correlation between clusters of international mineral trade (both exports and imports) and decomposed mineral price shocks (trend and cyclical), as well as geopolitical risks (threats and acts) across the globe. We employ the wavelet local multiple correlation (WLMC) technique to analyze the non-stationary and non-normal features of monthly data from January 1990 to December 2021. Our findings reveal a positive correlation between the imports and exports of mineral goods and their decomposed price dynamics, as well as geopolitical events. Notably, this correlation is reversed when constructing an indicator such as international mineral trade (imports and exports)-driven cleaner energy transformation using the linearization power function. This suggests that the interactive connectivity of global cleaner energy installation capacity and international mineral trade is negatively correlated with mineral price volatility and the diverse patterns of geopolitics. However, we recommend the adoption of effective hedging strategies for mineral pricing issues and data-based risk mitigation schemas to counter geopolitical turmoil in the context of international mineral trade and clean energy transformation.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101699"},"PeriodicalIF":7.9,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143714693","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}
Ahmad K. ALAhmad , Renuga Verayiah , Hussain Shareef , Agileswari Ramasamy , Saleh Ba-swaimi
{"title":"Enhancing renewable energy integration through strategic stochastic optimization planning of distributed energy resources (Wind/PV/SBESS/MBESS) in distribution systems","authors":"Ahmad K. ALAhmad , Renuga Verayiah , Hussain Shareef , Agileswari Ramasamy , Saleh Ba-swaimi","doi":"10.1016/j.esr.2025.101683","DOIUrl":"10.1016/j.esr.2025.101683","url":null,"abstract":"<div><div>This paper presents a comprehensive long-term stochastic mixed-integer single-level single-stage nonlinear multi-objective optimization planning model for integrating Distributed Energy Resources (DERs), including wind Distributed Generations (DGs), photovoltaic (PV) DGs, stationary Battery Energy Storage Systems (SBESSs), and mobile Battery Energy Storage Systems (MBESSs), over a 10-year project horizon. The model evaluates the efficiency and cost-effectiveness of hybrid SBESS-MBESS systems to enhance Renewable Energy Source (RES) integration within the electric power distribution system (DS) while addressing technical, environmental, and economic objectives. It minimizes total expected planning, operation, and emission costs, power loss, and voltage deviation by determining the optimal locations and capacities for wind DGs, PV DGs, and SBESSs, and by establishing a monthly transportation schedule for MBESSs. The optimization also coordinates the charging and discharging profiles of SBESSs and MBESSs to maximize green energy utilization and minimize system costs. Monte Carlo Simulation (MCS) models uncertainties in wind speed, solar irradiation, load power, and energy prices, while the backward reduction method (BRM) mitigates computational complexities. A hybrid optimization approach combining the non-dominated sorting genetic algorithm (NSGAII) and multi-objective particle swarm optimization (MOPSO) with a decision-making algorithm is proposed to solve the planning problem. Simulations on a 69-bus DS demonstrate significant reductions in long-term costs (37.72 %), power loss (41.58 %), and voltage deviation (47.07 %) achieved by the hybrid SBESS-MBESS system compared to other configurations, underscoring its potential to enhance renewable energy integration and system performance in transitioning energy systems.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101683"},"PeriodicalIF":7.9,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143705217","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}
Lars Skjelbred Nygaard, Emil Dimanchev, Magnus Korpås
{"title":"Power system planning in the North Sea area under demand uncertainty and risk aversion","authors":"Lars Skjelbred Nygaard, Emil Dimanchev, Magnus Korpås","doi":"10.1016/j.esr.2025.101664","DOIUrl":"10.1016/j.esr.2025.101664","url":null,"abstract":"<div><div>Electricity demand is increasingly difficult to predict due the uncertain timing and scale of future electrification, data center consumption, and electrolytic hydrogen adoption. This poses a new source of risk for power system planning. Though planners are often risk-averse, energy system modeling commonly takes a risk-neutral perspective. Here, we consider the implications of risk aversion concerning demand uncertainty for the optimal planning of power systems surrounding the North Sea. This region is both facing considerable demand uncertainty and expected to see substantial new investment in electricity generation capacity. In our exploratory experiments, optimal risk-averse planning under demand uncertainty features a higher share of renewable and storage investment by 2040, our planning horizon, compared to risk-neutral planning. As a result, risk-averse planning also leads to lower expected CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions in our case study. Overall, our results suggest that renewables and storage can provide a hedge against demand uncertainty.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101664"},"PeriodicalIF":7.9,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143714695","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}
Fei-Wen Huang , Chi-Wei Su , Shengyao Yang , Meng Qin , Weike Zhang
{"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}
{"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}
María Celia López-Penabad , Ana Iglesias-Casal , José Manuel Maside-Sanfiz , Ons Ben Larbi
{"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}
Muhammad Wasif Hanif , Mushtaque Ahmed Laghari , You Hua Chen , Muhammad Zahid
{"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}
Danqi Wei , Fayyaz Ahmad , Nabila Abid , Amber Gul
{"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}
Junjie Li , Lin Peng , Jie Zhang , Yirong Wang , Ziyi Li , Yulong Yan , Sheng Zhang , Menggang Li , Kechang Xie
{"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}
{"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}