Energy Strategy Reviews最新文献

{"title":"Strategic alliance selection for retired power batteries recycling under carbon cap-and-trade and government subsidies","authors":"Xiaomin Xu,&nbsp;Qianru Ma,&nbsp;Wensheng Wang","doi":"10.1016/j.esr.2026.102285","DOIUrl":"10.1016/j.esr.2026.102285","url":null,"abstract":"<div><div>The rapid growth of electric vehicles makes recycling retired power batteries critical for sustainable energy systems, resource security, and the low-carbon transition. This study establishes a game theory framework to analyze four strategic alliance modes from no alliance to three-party alliance in a closed-loop supply chain system comprising battery manufacturers, electric vehicle manufacturers, and third-party recyclers under carbon cap-and-trade and government subsidies. Using a manufacturer-led Stackelberg game model and numerical simulation, the analysis evaluates how key parameters influence system outcomes. Results indicate: (1) A 0.1 unit increase in consumer recycling price sensitivity coefficient and recycler competition coefficient, the recycling volume changes by up to 1060.9 (10%) and −1204.4 (−8.20%) units, and supply chain profits change by up to 1.769 × 10⁷ (0.392%) and −1.595 × 10⁷ (−0.353%), respectively. (2) A 1 unit increase in government subsidies can increase supply chain profits by up to 2.728 × 10⁵ (0.006%). A 1 unit increase in the carbon price results in a decrease of up to 7.872 × 10⁵ (0.018%) in profits. As subsidies decline, the non-alliance model exits faster due to thin profits and carbon pricing pressure. (3) Increasing carbon emission reduction levels (per unit) and echelon utilization rate (per 0.1 unit) increase supply chain profits by up to 5.88 × 10⁵ (0.132%) and 4.80 × 10⁷ (0.727%), respectively, with the MT + V model benefiting most from high SOH testing costs via technology sharing. (4) The optimal alliance model depends on market conditions: under high consumer price sensitivity and low recycler competition, a manufacturer-retailer alliance proves superior; otherwise, a three-party alliance becomes preferable. These findings offer actionable guidance on selecting an industry collaboration model and calibrating the policy mix to support resilient, efficient battery recycling systems.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102285"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148184983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Industrial policy and energy transition in China: Market-Oriented strategies for low-carbon development","authors":"Yuan Ma ,&nbsp;Tong Xiao ,&nbsp;Yang Xiao ,&nbsp;Runjia Zheng ,&nbsp;Xue Li","doi":"10.1016/j.esr.2026.102271","DOIUrl":"10.1016/j.esr.2026.102271","url":null,"abstract":"<div><div>China's transition toward low-carbon development has increased the strategic importance of industrial policy in addressing energy security, resource constraints, and technological upgrading. This study examines how China's industrial policy in the new energy vehicle sector has evolved from selective intervention to a more functional, market-oriented approach. Using a qualitative case study design, the research draws on semi-structured interviews with stakeholders from government, industry, and related sectors, supported by secondary evidence from policy documents, industry reports, and academic sources. The findings indicate that functional industrial policy has played an important role in supporting the expansion of charging infrastructure, hydrogen refueling systems, and research and development in core technologies such as batteries and fuel cells. At the same time, the study shows that excessive reliance on direct intervention may weaken market efficiency and limit innovation. The paper argues that a more effective policy framework should combine government guidance with market coordination and third-party oversight to improve policy implementation and long-term sustainability. By linking industrial policy reform with China's energy transition, the study contributes to the discussion on how market-oriented policy design can support low-carbon industrial development.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102271"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147951171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Which customers belong together? An enhanced off-grid clustering algorithm for cost-effective rural electrification","authors":"Pedro Ciller ,&nbsp;Sara Lumbreras ,&nbsp;Andrés González-García","doi":"10.1016/j.esr.2026.102213","DOIUrl":"10.1016/j.esr.2026.102213","url":null,"abstract":"<div><div>With 750 million people lacking access to electricity, cost-effective rural electrification is essential. A critical challenge for rural electrification projects is determining whether to cluster consumers to best serve them with standalone systems, mini-grids, or grid extensions. While state-of-the-art models offer advanced solutions, current clustering algorithms often rely on simplified cost estimators and rigid, bottom-up approaches, limiting their accuracy and adaptability.</div><div>This paper introduces a clustering algorithm that advances the state of the art by thoroughly evaluating the space of potential off-grid clustering solutions (i.e., the algorithm excludes extensions of the power grid as alternatives) and enhancing the accuracy of cost estimations. Applied to the Cajamarca region in Peru, it reduced electrification costs by 6.16% compared to a traditional state-of-the-art clustering method. Qualitatively, the method produced smaller, better-sized mini-grids and more appropriate allocations of standalone systems, demonstrating planning accuracy for sustainable energy access. An additional sensitivity analysis was performed, demonstrating the algorithm's ability to consistently deliver more cost-efficient and flexible electrification solutions, thereby contributing to sustainable energy access.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102213"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147951757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the impact of environmental, social, and governance (ESG) on enterprise energy efficiency","authors":"Zhonglu Liu ,&nbsp;Qianwen Mei ,&nbsp;Nan Cheng ,&nbsp;Fei Sun","doi":"10.1016/j.esr.2026.102280","DOIUrl":"10.1016/j.esr.2026.102280","url":null,"abstract":"<div><div>In pursuit of China's dual carbon objectives—carbon peaking and carbon neutrality—enhancing corporate energy efficiency has emerged as a pivotal strategy for addressing climate change and environmental degradation. Despite the growing importance of sustainable business practices, the relationship between corporate Environmental, Social, and Governance (ESG) performance and energy efficiency remains inadequately examined. This study explores how ESG practices influence corporate energy efficiency by analyzing comprehensive data from Chinese listed companies over the period 2010-2022. Our findings demonstrate that ESG performance significantly enhances energy efficiency, with green innovation and green investor entry serving as critical mediating mechanisms. The effect is particularly pronounced among large-scale and non-high-tech enterprises. Furthermore, media attention and digital transformation complementarily and synergistically exert a positive moderating effect on the relationship between ESG and energy efficiency. This research contributes novel theoretical insights and provides actionable recommendations for enterprises seeking to harness ESG initiatives as a pathway to improved energy efficiency and sustainable development.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102280"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147995580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction notice to ‘Strategic directions for renewable energy in China: Analyzing the transition from fossil fuels to dirty free technologies’ [Energy Strategy Rev. 59 (2025) 101711]","authors":"Enguo Liu ,&nbsp;Hamza E. Albaheth ,&nbsp;Muhammad Aqib Shafiq","doi":"10.1016/j.esr.2026.102216","DOIUrl":"10.1016/j.esr.2026.102216","url":null,"abstract":"","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102216"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148241868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-criteria integrated assessment framework and GIS applied to fusion power plant site selection considering infrastructure-related data at a European scale","authors":"Larissa Breuning ,&nbsp;Martín Oviedo Pascottini ,&nbsp;Albrecht Herrmann ,&nbsp;Frédérick Bordry ,&nbsp;Thomas Hamacher","doi":"10.1016/j.esr.2026.102241","DOIUrl":"10.1016/j.esr.2026.102241","url":null,"abstract":"<div><div>Electricity is essential to human quality of life and should be generated in a sustainable, low-carbon, and environmentally responsible way to meet global demand. Nuclear fusion offers a clean energy opportunity to meet future energy needs. Recently, there has been increased interest from states and commercial companies in building an energy-supplying fusion power plant. In addition to the technical challenge, an appropriate choice of the site is necessary. This study examines possible sites by applying a multi-criteria integrated assessment to evaluate sites for a 1GW_el fusion power plant unit, in terms of infrastructure-related information and georeferenced datasets at a European scale. This enables well-founded decisions on potential sites and serves as the basis for the subsequent licensing of a fusion power plant. The paper presents a geographic information system (GIS)-based multi-criteria decision analysis (MCDA) for site selection. Seven exclusionary and nine discretionary criteria, organized into categories, are identified and applied in a two-stage decision-making process. Exclusionary criteria categories include the existence and sufficiency of cooling water, suitability of seismological conditions, environmental sensitivity, and land use. Discretionary criteria categories include electrical power infrastructure, natural conditions, and socio-economic infrastructure. Sensitivity analyses assess the impact of varying criteria and criterion weightings on the preferred candidate sites. Furthermore, the framework was benchmarked using sites from real fusion projects and previous studies. In the different cases, 0.04-0.15% of the European area is classified as “Highest preference” and 0.21-0.48% as “High preference”.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102241"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147803141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sub-national implications of Greece's power-sector transition: The HERMES energy-system model","authors":"Anastasios Karamaneas ,&nbsp;Thomas Nikolakakis ,&nbsp;Kimon Georgiou ,&nbsp;Sophia Kokoni ,&nbsp;Constantinos Taliotis ,&nbsp;Vignesh Sridharan ,&nbsp;Leigh Martindale ,&nbsp;Natasha Frilingou ,&nbsp;Konstantinos Koasidis ,&nbsp;Georgios Xexakis ,&nbsp;Georgios P. Trachanas ,&nbsp;Vangelis Marinakis ,&nbsp;Haris Doukas ,&nbsp;John Psarras ,&nbsp;Alexandros Nikas","doi":"10.1016/j.esr.2026.102265","DOIUrl":"10.1016/j.esr.2026.102265","url":null,"abstract":"<div><div>Greece has set ambitious energy and climate targets, aiming to decarbonise its power sector by 2050, despite the sector's geographical complexity and historical coal reliance. Delivering on this goal entails multiple challenges, including temporal and geographical stochasticity of renewable electricity generation, integration of energy storage technologies, variable renewables curtailment, and management of electricity flows at cross-regional and cross-border scales. Navigating this complex landscape requires the use of sophisticated energy-system modelling tools. We introduce the Hellenic Regional Model for the Electricity System (HERMES) for Greece's power sector, based on the OSeMOSYS open-source modelling framework and drawing on state-of-the-art developments in its community. The HERMES model features high temporal and technological granularity, while critically offering insights disaggregated at the NUTS-2 and island level. The paper documents all methodological novelties and extensions, evaluates the model's robustness and accuracy against recent historical data as well as official trajectories of the country's National Energy and Climate Plan (NECP), and illustrates its analytical added value through insightful sub-national implications of the NECP—including RES deployment patterns and unit-dispatch outcomes in regions with increased policy-relevant insights. Our results emphasise the central role of strengthening cross-regional transmission capacity and insular grid interconnections for energy security alongside decarbonisation as well as the significance of cross-regional and cross-border electricity exchanges in the country's ambition to emerge as an intercontinental energy hub. The analysis also sheds light on certain distributional implications of the energy transition and the vital contribution of storage technologies to achieving a near-zero emissions power sector by 2050.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102265"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147951182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nonlinear effects of financial development on energy infrastructure: Insights from nonlinear panel models","authors":"Mohamad Husam Helmi ,&nbsp;Esra Balli ,&nbsp;Abdurrahman Nazif Çatik ,&nbsp;Bekhzod Kuziboev ,&nbsp;Maxbuba Ruzmetova ,&nbsp;Samariddin Makhmudov","doi":"10.1016/j.esr.2026.102263","DOIUrl":"10.1016/j.esr.2026.102263","url":null,"abstract":"<div><div>This study examines the impact of financial development on energy infrastructure needs in a sample of 85 countries over the period 2000–2023. The analysis combines linear panel estimators with advanced nonlinear methods, including Method of Moments Quantile Regression (MMQR), the Instrumental-Variable Partially Linear Functional-Coefficient model (IVPLFC), and the dose–response function. These methods allow us to examine heterogeneity, dynamic persistence, and nonlinear marginal effects. A key contribution of the study is the use of the Energy Infrastructure Needs index, which captures deficiencies across electricity generation, transmission, distribution, and storage, rather than relying on narrower traditional proxies. The results show that stronger financial development significantly reduces energy infrastructure needs. This effect is strongest at earlier stages of financial development, while diminishing marginal effects emerge as financial systems mature. The MMQR results reveal distributional differences across levels of energy infrastructure needs, while the IVPLFC and dose–response results confirm clear nonlinear effects. Overall, the findings show that financial development plays an important but uneven role in reducing energy infrastructure needs. Financially underdeveloped economies benefit most from expanding access to credit, strengthening banking intermediation, and improving liquidity, whereas more financially developed economies require complementary institutional and regulatory reforms to achieve further progress.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102263"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147951185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applications of econometrics and artificial intelligence in oil price prediction: A systematic review study","authors":"Seyyed Abdollah Razavi ,&nbsp;Abbas Khaksar Manshad ,&nbsp;Leila Kashani","doi":"10.1016/j.esr.2026.102226","DOIUrl":"10.1016/j.esr.2026.102226","url":null,"abstract":"<div><div>Crude oil price forecasting, one of the global economy's strategic challenges, has always been an attractive topic for researchers, policymakers, and market participants. This study aims to systematically analyze and critically review econometric and artificial intelligence approaches to oil price forecasting. The total number of identified articles is 450. Of these, 179 articles have reached the final analysis and evaluation stage, published between 1992 and 2026. The findings show that classical econometric models such as ARIMA, VECM, VAR, GARCH, and their derivatives perform well in analyzing causal structures and long-term relationships. Still, they face severe limitations when faced with nonlinear fluctuations, sudden shocks, and market structural changes. In contrast, artificial intelligence-based models, including machine learning (such as SVR, Random Forest, Bayesian optimization, cross-validation, Gaussian process regressions and XGBoost) and deep learning (such as LSTM, CNN, and GRU), have significantly increased forecast accuracy by processing large data sets and identifying complex patterns. However, the weakness in economic interpretability and understanding of causal relationships are the main challenges of this class of models. Studies show that in recent years, there has been an increased trend towards hybrid models, models that try to provide a comprehensive and adaptive approach to analyzing oil price behavior by simultaneously utilizing the explanatory power of econometric models and the high predictive ability of artificial intelligence models. The results of this systematic review emphasize the importance of integrating specialized energy knowledge with advanced modeling techniques. The innovation of this study lies in presenting an integrated framework that combines econometrics and artificial intelligence, centered on machine learning, demonstrating AI's predictive superiority alongside economic interpretability and model stability. This approach bridges the gap between theoretical analysis and data-driven forecasting and outlines the future direction of oil price prediction research. Also, suggested directions for future research include the development of robust, adaptive, and explanatory models, combining structured and unstructured data, and designing continuous learning frameworks to deal with future energy market instabilities. By drawing a comprehensive perspective, this research provides a theoretical and practical foundation for future analyses in oil price forecasting.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102226"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147951758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Energy consumption prediction for households in a society with an ageing population” [Energy Strategy Rev. 52 (2024), Article 101622]","authors":"Yan Zou ,&nbsp;Chen Wang ,&nbsp;Hina Najam ,&nbsp;Abdelmohsen A. Nassani ,&nbsp;Gozal Djuraeva ,&nbsp;David Oscar","doi":"10.1016/j.esr.2026.102245","DOIUrl":"10.1016/j.esr.2026.102245","url":null,"abstract":"","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"65 ","pages":"Article 102245"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148241190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}