Energy Strategy Reviews最新文献

{"title":"From earnings to energy: Investigating the linkage between remittances and energy use in South Asia","authors":"Yasir Khan ,&nbsp;Taimoor Hassan ,&nbsp;Xiangdong Li","doi":"10.1016/j.esr.2025.101831","DOIUrl":"10.1016/j.esr.2025.101831","url":null,"abstract":"<div><div>This study explores the intricate links between remittance inflow and energy consumption in South Asia, a region characterized by high levels of migration abroad and remittance inflows. The present study provides a thorough analysis of vigorous energy utilization in the context of South Asian economies using panel data from 1990 to 2023. By employing advanced econometric techniques, the study has empirically evaluated the influence of personal remittance inflow, and consumer access to electricity on energy consumption, while taking as a possible effect of energy prices, education, employment, urbanization, economic growth, and trade openness to prevent the bias of omitted variables. The findings reveal that a 1 % increase in remittance inflow leads to a 0.282 % rise in energy usage. Moreover, a 1 % increase in access to electricity leads to a 0.570 % rise in energy usage. While a 1 % growth in energy prices leads to a −0.518 % decline in energy utilization. The long-run outputs suggest that remittances inflow, education, GDP, access to electricity, employment, and urbanization increase the usage of energy, while energy prices and trade openness reduce energy utilization in these countries. We further used 2SLS for robustness check and the findings validated these outcomes. The study suggests that governments and policymakers should invest in sustainable energy production and distribution as these countries facing severe energy crises.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"61 ","pages":"Article 101831"},"PeriodicalIF":7.9,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144841222","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":"Understanding the factors affecting social acceptance of Solar Energy Technologies","authors":"Jane Osei,&nbsp;Kerry Brown,&nbsp;Mehran Nejati","doi":"10.1016/j.esr.2025.101861","DOIUrl":"10.1016/j.esr.2025.101861","url":null,"abstract":"<div><div>This study investigates the key factors influencing the social acceptance of solar energy technologies, aiming to develop a policy and practice framework from a socio-political perspective. While previous research has identified various factors, it has often overlooked the role of policy interventions. By employing Transition Management theory, this study maps these factors and emphasizes the importance of learning and policy adaptation in the energy transition process. Solar energy, known for its cost-effectiveness and potential to stabilize electricity costs, remains relatively unfamiliar to many at the local level despite its global technological maturity. This research consolidates fragmented findings from 46 articles published between 2013 and 2023, highlighting the primary determinants of social acceptance of solar technology. The key findings underscore the importance of environmental and economic concerns, as well as the roles of knowledge, information, awareness, and socio-demographic factors. This study contrasts with previous research that has predominantly focused on other renewable energy sources like biogas, wind, and hydropower.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"61 ","pages":"Article 101861"},"PeriodicalIF":7.9,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829671","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":"Forecasting solar module waste in the United Kingdom","authors":"Sophie L. Pain,&nbsp;John D. Murphy","doi":"10.1016/j.esr.2025.101849","DOIUrl":"10.1016/j.esr.2025.101849","url":null,"abstract":"<div><div>Photovoltaics play a key role in the United Kingdom (UK) meeting its net-zero targets. In this analysis, we draw on governmental datasets and projections, technical data from across the photovoltaic (PV) manufacturing industry and technoeconomic research to determine the UK's waste processing needs in the event it meets its deployment targets. Our estimates suggest that the ∼18 GW of current UK PV capacity corresponds to approximately 70m installed modules. To meet the 2050 target of 90 GW_peak, there needs to be sustained average annual installation of ∼5–10m individual PV modules over the coming decades, the majority of which are likely to be silicon-based technologies. Many current PV modules are nearing the end of their lifespan or are on sites selected for “repowering”, and, based on our estimates, cumulative end-of-life UK PV module numbers will exceed 100m (∼2m tonnes) by 2050. The tonnage of UK solar waste is expected to exceed the current pan-European solar waste recycling capacity by 2035, demonstrating the need for further investment in recycling infrastructure and capacity. Domestic processing of this waste would enable retention of contained high-value or critical materials within UK supply chains, but this requires technical infrastructure to be in place.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"61 ","pages":"Article 101849"},"PeriodicalIF":7.9,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829666","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":"Transforming energy landscape: A scenario-based robust planning strategy for addressing energy imbalance in Iran by 2035","authors":"Ali Faryadras ,&nbsp;Saeed Tahmasebiashtiani ,&nbsp;Mohammadreza Kasiri ,&nbsp;Seyed Reza Mirnezami","doi":"10.1016/j.esr.2025.101817","DOIUrl":"10.1016/j.esr.2025.101817","url":null,"abstract":"<div><div>Iran's energy sector is characterized by its significant reserves, market dynamics, economic challenges, and political and global impacts. This paper employs an integrated, scenario-based robust planning approach to address Iran's energy imbalance, which manifests as excess demand or insufficient supply of natural gas in winter, electricity in summer, and gasoline year-round. By examining key uncertainties, constructing four scenarios, and testing various strategies against these scenarios, the robust strategies were developed for both supply and demand in the oil, gas, and electricity sectors. Common strategies, such as price adjustments, were also discussed. The analysis underscores the urgent need for infrastructure investment, technology adoption, diversification of energy sources (including renewables), and pricing reforms.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"61 ","pages":"Article 101817"},"PeriodicalIF":7.9,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829667","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":"Optimal design of a photovoltaic/diesel/battery hybrid system: A multidimensional sustainability assessment and sensitivity analysis using an innovative collaborative hybrid meta-heuristic framework","authors":"Pascalin Tiam Kapen","doi":"10.1016/j.esr.2025.101862","DOIUrl":"10.1016/j.esr.2025.101862","url":null,"abstract":"&lt;div&gt;&lt;div&gt;This study aims to design and optimize a Photovoltaic/Diesel/Battery hybrid energy system to provide a stable and sustainable electricity supply for the University Institute of Technology Fotso Victor in Bandjoun, Cameroon, which currently suffers from frequent power outages. The main objective is to ensure reliable and cost-effective energy access for the university campus. Specifically, the study seeks to (i) determine the optimal configuration of the hybrid system, (ii) assess its techno-economic and environmental performance, and (iii) evaluate its social acceptance and impact on human development. To achieve these goals, a novel hybrid metaheuristic optimization framework was developed by integrating four algorithms: Particle Swarm Optimization, Differential Evolution, Genetic Algorithm, and Cuckoo Search Algorithm. Each algorithm plays a distinct role in the optimization process: Particle Swarm Optimization explores the solution space, Differential Evolution refines the best candidates, Genetic Algorithm introduces diversity through crossover and mutation, and Cuckoo Search Algorithm fine-tunes the best local solutions. This cooperative scheme, implemented in a parallel computing environment using MATLAB, improves computational efficiency and ensures a thorough exploration of the solution space. Unlike traditional metaheuristic methods, which often suffer from issues such as stochastic result variability, premature convergence to local optima, high computational costs, and sensitivity to parameter tuning, the proposed hybrid framework addresses these limitations through algorithmic synergy and parallelization. By leveraging the strengths of each algorithm, the approach achieves greater solution stability, better global exploration, and enhanced adaptability to complex hybrid energy system designs. A comprehensive techno-economic and environmental analysis was conducted to minimize overall system costs while ensuring performance and sustainability. The optimization results indicated a net present cost of USD 3,107,000 and a levelized cost of energy (COE) as low as USD 0.0741 per kilowatt-hour. The Loss of Power Supply Probability was evaluated to guarantee energy reliability. The hybrid system is also projected to reduce annual CO&lt;sub&gt;2&lt;/sub&gt; emissions by 96,480 kg compared to conventional diesel-based supply. In addition, a structured survey was conducted involving 100 participants from the University Institute of Technology Fotso Victor, including students (40 %), administrative staff (25 %), technical staff (15 %), and faculty members (20 %), selected to reflect diverse perspectives within the campus community. The social assessment revealed that 89 % of respondents supported the adoption of the proposed hybrid energy system, citing anticipated benefits such as job creation, particularly in the solar and battery sectors, and a projected improvement in the Human Development Index ranging from 0.002 to 0.007 points. A sensitivity ","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"61 ","pages":"Article 101862"},"PeriodicalIF":7.9,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814037","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":"The role of renewable energy in mitigating carbon emissions: Insights from China's energy consumption patterns","authors":"Muhammad Sohaib ,&nbsp;Abdul Majeed ,&nbsp;Jingru Liu ,&nbsp;Judit Oláh","doi":"10.1016/j.esr.2025.101860","DOIUrl":"10.1016/j.esr.2025.101860","url":null,"abstract":"<div><div>China's rapid economic growth has made it the world's largest carbon emitter, creating urgent environmental challenges that require immediate attention. As urbanization advances, so does the energy demand, with a large proportion of that energy being provided by fossil fuels, which has further escalated carbon emissions. The resulting increase in carbon emissions poses a serious threat to global climate stability and requires immediate action to mitigate its impact on the environment. The urge to reduce environmental effects has called for solutions, such as a shift to renewable energy. Thus, this study aims to establish the relationship between renewable energy consumption, economic growth, fossil fuel use, urbanization, industrialization, and carbon emissions in China from 1990 to 2022. We explore these variables using Autoregressive Distributed Lag (ARDL) and nonlinear symmetrical estimation methods. These findings suggest that carbon emissions are positively linked to fossil fuel use, economic growth, urbanization, and industrialization, indicating that these determinants play a significant role in environmental degradation. Conversely, renewable energy reduces carbon emissions and contributes to environmental sustainability. It confirms the need to improve renewable energy integration and increase awareness of China's severe environmental concerns, which are exacerbated by its economic and industrial development. This study offers critical insights for Chinese policymakers by analyzing data from 1990 to 2022 to quantify the extent to which the adoption of renewable energy can offset emissions resulting from economic growth, fossil fuel use, urbanization, and industrialization. Our findings provide China-specific evidence to support its emission reduction targets and contribute globally relevant methods for sustainable development planning. The quantified relationships provide a framework for evaluating the effectiveness of policies in transitioning to low-carbon growth.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"61 ","pages":"Article 101860"},"PeriodicalIF":7.9,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810083","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":"Promoting sustainable mobility: A multi-theoretical exploration of attitude-behavior dynamics and consumption value in electric vehicle adoption in India","authors":"Amit Kumar Gupta ,&nbsp;Ashutosh Dash ,&nbsp;Kirti Sharma","doi":"10.1016/j.esr.2025.101839","DOIUrl":"10.1016/j.esr.2025.101839","url":null,"abstract":"<div><div>With the growing urgency of climate change, automobile manufacturers are increasingly transitioning from gasoline-powered vehicles to Electric Vehicles (EVs) to meet the global demand for cleaner technology. However, despite financial incentives and regulatory efforts, EV adoption in developing nations remains sluggish, hindering progress toward sustainable mobility. This study introduces a composite socio-psychological model integrating the Theory of Planned Behaviour (TPB), Value-Attitude-Behaviour (VAB) Hierarchy, and the Theory of Consumption Values (TCV) to examine EV adoption in India. This integrated approach bridges behavioral intention, value-linked antecedents, and contextual consumption trade-offs, offering a comprehensive framework for understanding EV adoption. Because of the complexity of the proposed model, non-normality requirements, and non-linearity constraints, the study employs Structural Equation Modeling (SEM) Warp-PLS 8.0 on 626 clean samples. Key factors influencing EV adoption include maintenance and battery replacement costs (MBRC) and vehicle performance (VP), highlighting their role in shaping consumer intention. Additionally, government incentive policies (GP) and on-demand charging facilities (ODCF) are significant moderating variables, further facilitating the shift toward eco-friendly transportation. Introducing on-demand charging facilities as a new contextual factor demonstrated strong moderating potential to accelerate EV adoption. By developing an advanced socio-psychological model, this study offers actionable insights for enhancing EV diffusion and promoting sustainability. Confirmatory composite analysis (CCA) strengthens the model's reliability, reinforcing its contribution to environmental sustainability and cleaner mobility solutions.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"61 ","pages":"Article 101839"},"PeriodicalIF":7.9,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814041","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":"Evaluating the Levelized Cost of Energy (LCOE) of irrigation systems based on solar PV and diesel generator for a green bean crop in Cameroon","authors":"Armelle Nadine Tchudjo-Tchuente ,&nbsp;Jonhson Ouamba-Fedjo ,&nbsp;Armand Fopah-Lele ,&nbsp;Jean Gaston Tamba","doi":"10.1016/j.esr.2025.101826","DOIUrl":"10.1016/j.esr.2025.101826","url":null,"abstract":"<div><div>This article offers a fresh perspective on the existing literature in the areas such agriculture, renewable energy, applied technology, economics, and environment (climate change). The objective of this study is to comparatively evaluate the Levelized Cost of Energy (LCOE) of a solar photovoltaic (PV) pumping system and a diesel generator (DG), applied to green bean irrigation in Foumbot (Cameroon), through an ‘energy-agriculture’ nexus approach. Conducted in a context of energy crisis and increasing agricultural challenges, the study is based on real field data, unlike most simulation-based studies, thereby enhancing the reliability and practical relevance of its findings to local conditions. More specifically, the aim is to calculate, in each case (PV and DG), the various actualized costs such as investment costs (Capex), operation and maintenance costs (Opex) applied to annual energy production over a 25-year period. The methodology follows field surveys for data collection, determination of the appropriate raw water requirements for the agro-ecological zone (essential for sizing all the systems), application of a standard LCOE formulation via calculation of the various costs, and economic and environmental analyses. Results shows that using a 13.9 kWp photovoltaic solar panels (i.e. 68 modules of 205 W each arranged in 4 strings of 13 in series and one string of 16 in series) and a 10 hp FP 75 Dtrash diesel generator (7.35 kW) can be economical viable. Capital costs are 25.4 million Fcfa and 15.7 million Fcfa, for PV and DG, respectively. The annual payments for operating and maintenance are 139,334 Fcfa and 563,120 Fcfa, for PV and DG, respectively. LCOE obtained (461.2 Fcfa/kWh for PV and 557.8 Fcfa/kWh for diesel) show that from the fifth year onwards, it is possible to dispense with diesel and avoid emissions of 163,869 tonnes of CO₂. This not only promotes the growing competitiveness of the renewable energy (PV) sector, but also increases agricultural production, job creation, the sale of surplus energy in the long term and economic growth.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"61 ","pages":"Article 101826"},"PeriodicalIF":7.9,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809811","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":"Uncovering the impact of geopolitical risks on sustainable development in MENA countries: New insights from the LCC framework","authors":"Sinan Erdogan ,&nbsp;Gizem Uzuner ,&nbsp;Andrew Adewale Alola","doi":"10.1016/j.esr.2025.101850","DOIUrl":"10.1016/j.esr.2025.101850","url":null,"abstract":"<div><div>Growing geopolitical risks (GPR) and tensions affecting economic performance can significantly influence sustainable development outcomes. However, previous studies do not address whether GPR hinders sustainable development, assessed through a unique sustainable development metric, the load capacity factor (LCF), in Middle East and North Africa (MENA) nations from 1985 to 2021, utilizing various panel data estimation techniques while examining potential cross-section dependence (CD). Empirical results show that (i) a cointegration relationship in the tested model exists. (ii) Economic growth increases (decreases) LCF in the initial (latter) periods of the economic growth. Thus, the load capacity curve (LCC) is invalid in the MENA region. (iii) GPR and energy utilization decrease sustainable development. Empirical results on the impact of trade on sustainable development are positive in baseline estimations. (iv) Robustness checks remarkably reveal that empirical results are robust. As a result, MENA nations face the risk of poor sustainable development outcomes during periods of high GPR. Policy proposals regarding the empirical results are provided in the body of the text.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"61 ","pages":"Article 101850"},"PeriodicalIF":7.9,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814038","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":"Transitioning to a low-carbon economy: The impact of green finance policies in BRICS nations","authors":"Weixin Tang ,&nbsp;Minglu Huo ,&nbsp;Yanhui Wang ,&nbsp;Nawal Abdalla Adam ,&nbsp;Bin Bai","doi":"10.1016/j.esr.2025.101851","DOIUrl":"10.1016/j.esr.2025.101851","url":null,"abstract":"<div><div>This study addresses the pressing challenge of transitioning to a low-carbon economy in BRICS nations by investigating the role of green finance policies in enhancing energy efficiency and driving sustainable economic growth. The primary objective is to evaluate the effectiveness of green credit incentives and transformative insurance in facilitating the shift from high-carbon to environmentally friendly energy systems. The analysis covers the period from 2007 to 2021, focusing on the BRICS economies with specific emphasis on China's regional dynamics. Using an integrated Dynamic Stochastic General Equilibrium (DSGE) model and Spatial Autoregressive (SAR) framework, the study captures both economic dynamics and spatial spillover effects of green finance. Key empirical findings reveal that: (1) green finance has a significant and positive impact on energy efficiency, with strong direct and indirect effects across provinces; (2) spatial autocorrelation exists in energy usage, indicating that policy impacts diffuse geographically; (3) the synergistic effect of internet development and environmental regulation enhances green finance effectiveness; (4) regional disparities show stronger green finance impacts in eastern and western China compared to central regions; and (5) robustness checks using SDM-Wij and 2SLS confirm the stability and reliability of results. The study concludes that combining green credit with transformative insurance is more effective than implementing either policy alone and recommends a balanced approach to carbon regulation that fosters low-carbon technological innovation without impeding economic growth. Policy implications suggest expanding ESG-based credit frameworks and tailoring financial tools to support emission-intensive sectors transitioning toward sustainability.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"61 ","pages":"Article 101851"},"PeriodicalIF":7.9,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814036","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}