Energy Strategy Reviews最新文献_第8页

A sustainability framework for ranking industrial heat decarbonisation technologies using multi-criteria analysis 使用多标准分析对工业热脱碳技术进行排名的可持续性框架

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-12-15 DOI: 10.1016/j.esr.2025.102005

Yoann Jovet , Frédéric Lefèvre , Alexis Laurent , Marc Clausse

Industrial decarbonisation is a central challenge in achieving global climate targets, particularly due to the sector's heavy reliance on fossil-based heat generation. As efforts to transition toward electrified and low-carbon heating technologies intensify, it becomes essential to assess their full range of environmental impacts beyond carbon emissions alone. Recent studies have drawn attention to the risk of unintended trade-offs when climate targets are pursued without considering other environmental impacts, such as resource depletion and pollution. To address this challenge, a multi-objective optimisation model was developed that combines techno-economic analysis with absolute environmental sustainability assessments. It aims at guiding the design of industrial heat systems under future electricity grid scenarios.

We present a novel methodology that identifies and ranks combinations of optimal technology for industrial heat production at low temperature (100–150 °C) using a genetic algorithm alongside three distinct sustainability-based ranking approaches. The framework incorporates dynamic electricity mixes projected over three future time periods and clusters representative national scenarios. Results show that while electrification through mechanical heat pumps performs well under conventional life cycle weighting (R1), more stringent sustainability-oriented rankings (R2, R3) tend to favour hybrid solutions that combine electrification with gas or biomass boilers. Notably, no configuration fully meets all sustainability thresholds, with resource use often exceeding sustainable limits ‒ even in the most favourable scenarios.

This method goes beyond current LCA-based approaches by integrating absolute sustainability criteria and underscores the importance of selecting appropriate ranking methodologies in political and industrial decision-making. Ultimately, this work lays the groundwork for more holistic assessments that balance decarbonisation with broader environmental objectives and provides a reproducible approach to evaluating technological transitions within the constraints of planetary boundaries.

工业脱碳是实现全球气候目标的核心挑战，特别是考虑到该行业严重依赖化石发电。随着向电气化和低碳供暖技术过渡的努力不断加强，评估其对环境的全面影响变得至关重要，而不仅仅是碳排放。最近的研究引起了人们对在追求气候目标时不考虑其他环境影响（如资源枯竭和污染）的意外权衡风险的关注。为了应对这一挑战，开发了一种多目标优化模型，将技术经济分析与绝对环境可持续性评估相结合。它旨在指导未来电网情景下工业热系统的设计。我们提出了一种新的方法，该方法使用遗传算法以及三种不同的基于可持续性的排名方法来识别和排名低温（100-150 °C）下工业产热的最佳技术组合。该框架结合了未来三个时间段的动态电力混合预测和具有代表性的国家情景集群。结果表明，虽然通过机械热泵实现电气化在常规生命周期权重（R1）下表现良好，但更严格的可持续性排名（R2, R3）倾向于将电气化与燃气或生物质锅炉相结合的混合解决方案。值得注意的是，没有任何一种配置能完全达到所有可持续性的阈值，即使在最有利的情况下，资源的使用也常常超过可持续的极限。这种方法通过综合绝对可持续性标准，超越了目前基于lca的方法，并强调了在政治和工业决策中选择适当排名方法的重要性。最终，这项工作为更全面的评估奠定了基础，以平衡脱碳与更广泛的环境目标，并提供了一种可重复的方法来评估在地球边界限制下的技术转型。

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引用次数: 0

Collective heat-transition voting: An agent-based model integrating bounded confidence, social pressure, and information diffusion 集体热转换投票：一个基于主体的模型，整合有界置信度、社会压力和信息扩散

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-12-13 DOI: 10.1016/j.esr.2025.102001

Xinyi Mu, Dujuan Yang, Qi Han

The transition to neighborhood-scale district heating in the Netherlands frequently stalls due to the challenge of achieving a collective agreement among individual homeowners. To explore the micro-dynamics of this collective action problem, this paper introduces an agent-based model that integrates three key drivers of collective choice: heterogeneous decision styles (deliberative, social-comparison, repetition, imitation), networked social pressure governed by bounded confidence and minority influence, and dynamic information diffusion with spatiotemporal decay. A novel three-layer architecture maps the progression from continuous opinion exchange to voting intention and a final binary vote. Scenario experiments reveal the system's fragility and key leverage points: the benchmark scenario, which targets community leaders with early positive information, achieves an 88 % yes-vote share, while early endorsement by cross-cutting brokers who link different sub-communities achieves a 97 % yes-vote share and high agreement (0.866 global consensus; 1 indicates unanimity). Conversely, a single, early negative narrative can trigger a rapid collapse of support from over 90 % households within 30 simulation rounds. Late-stage positive messages proved most efficient at tipping fence-sitters, achieving 95 % yes votes with smaller aggregate opinion shifts than early messaging. A comparative analysis across small-world, scale-free, and random networks demonstrates that these mechanisms are robust. These findings indicate that information timing, targeting, and valence serve as critical non-economic levers in community energy transition, and yield actionable heuristics for policy: target credible brokers such as local energy coaches with data-rich information early, use visible social proof just before a decision point, and actively neutralize negative narratives to prevent cascading resistance.

由于在个别房主之间达成集体协议的挑战，荷兰向社区规模区域供热的过渡经常停滞不前。为了探讨这一集体行动问题的微观动力学，本文引入了一个基于智能体的模型，该模型集成了集体选择的三个关键驱动因素：异质决策风格（审慎、社会比较、重复、模仿）、由有限信心和少数人影响控制的网络社会压力，以及具有时空衰减的动态信息扩散。一种新颖的三层架构映射了从连续的意见交换到投票意图和最终的二元投票的过程。场景实验揭示了系统的脆弱性和关键杠杆点：基准场景，针对社区领导人早期的积极信息，获得88 %的赞成投票份额，而连接不同子社区的交叉经纪人的早期认可获得97 %的赞成投票份额和高一致性（0.866全球共识；1表示一致）。相反，一个单一的、早期的负面叙述可能会在30轮模拟中引发90多个 %家庭的支持迅速崩溃。事实证明，后期的积极信息对中立派最有效，获得了95% %的赞成票，总体意见变化比早期的信息要小。对小世界、无标度和随机网络的比较分析表明，这些机制是稳健的。这些研究结果表明，信息时机、目标和价值在社区能源转型中发挥着关键的非经济杠杆作用，并为政策提供了可操作的启发：早期瞄准具有丰富数据信息的可信经纪人，如当地能源教练，在决策点之前使用可见的社会证明，并积极中和负面叙述以防止连锁反应。

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引用次数: 0

Bidding strategy for the lithium battery energy storage system in day-ahead and real-time markets 锂电池储能系统日前和实时市场竞价策略研究

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-12-11 DOI: 10.1016/j.esr.2025.102000

Jinzhou Lv , Yongjian Guo , Guangjin Zhao , Ruifeng Dong , Guosheng Huang , Aikui Li

The lithium battery energy storage system (ESS) faces problems such as market price fluctuation and uncertainty of frequency modulation (FM) signals when participating in power market. Day-ahead bidding behavior bears revenue risk and real-time bidding behavior needs to adjust. It is necessary to formulate a bidding strategy. This paper focuses on the participation of ESS in the energy and FM joint market. Firstly, a double objective optimal bidding strategy in the day-ahead market is proposed to balance profit with Conditional Value at Risk (CVaR). This strategy considers market price prediction information, uncertainty modelling of FM signals, and the state of charge (SOC) constraint at the end of a day. The strategy determines the optimal Pareto solution set based on the cost-revenue ratio and risk aversion degree of decision makers. Secondly, Auto Regressive Moving Average (ARMA) model is used for short-term rolling prediction of energy accumulation value of FM signals. A rolling optimal bidding strategy based on the latest market price information and FM signal prediction is proposed. This strategy can adjust the capacity allocation of ESS participating in the energy and FM joint market according to the day-ahead plan and real-time market information to maximize profit. Finally, example analysis is conducted on real FM signals, market prices, and related historical data. The simulation results demonstrate that the proposed day-ahead strategy effectively improves the cost-return rate of ESS, while the real-time rolling bidding strategy significantly enhances the expected profit by mitigating market uncertainties.

锂电池储能系统（ESS）在参与电力市场时面临市场价格波动和调频信号不确定性等问题。日前竞价行为承担收益风险，实时竞价行为需要调整。制定投标策略是必要的。本文主要研究ESS在能源和FM联合市场中的参与问题。首先，在日前市场中提出了一种平衡利润和条件风险价值的双目标最优竞价策略；该策略考虑了市场价格预测信息、调频信号的不确定性建模以及一天结束时的充电状态（SOC）约束。该策略根据决策者的成本收益比和风险厌恶程度确定最优帕累托解集。其次，采用自回归移动平均（ARMA）模型对调频信号的能量积累值进行短期滚动预测；提出了一种基于最新市场价格信息和调频信号预测的滚动最优竞价策略。该策略可以根据日前计划和实时市场信息，调整参与能源FM联合市场的ESS的容量分配，实现利润最大化。最后，对实际调频信号、市场价格和相关历史数据进行了实例分析。仿真结果表明，提出的日前策略有效提高了ESS的成本回报率，而实时滚动竞价策略通过降低市场不确定性，显著提高了ESS的预期利润。

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引用次数: 0

Integrated optimization of the water-energy-food nexus for sustainable energy production 水-能源-粮食关系的综合优化，实现可持续能源生产

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-12-10 DOI: 10.1016/j.esr.2025.101994

Shibao Lu , Xiao Bai , Farhad Taghizadeh-Hesary

Water scarcity in the Hai River Basin poses a significant challenge to China's energy security, restricting the sustainable expansion of energy production. This study develops an energy-oriented Water-Energy-Food (WEF) collaborative optimization model using a decomposition-coordination algorithm. It couples water resource allocation, crop structure adjustment, and energy production scaling at the basin level to prioritize energy output while managing water and food demands. By 2030, optimized resource allocation can increase water availability to 51.7 billion m³, which is 62 % of the current annual supply from the South-to-North Water Diversion Project. This will enable a 4.04 % rise in raw coal output and an 80.8 % increase in crude oil production. Per capita food production also improves by 1.34 %, ensuring food security. This integrated approach underscores the crucial role of cross-sectoral coordination in mitigating groundwater stress, enhancing energy supply resilience, and fostering long-term sustainability in water-constrained energy regions.

海河流域水资源短缺对中国能源安全构成重大挑战，制约着能源生产的可持续发展。本文采用分解-协调算法建立了面向能源的水-能源-食物协同优化模型。它将水资源配置、作物结构调整和流域层面的能源生产规模结合起来，在管理水和粮食需求的同时，优先考虑能源产出。到2030年，通过优化资源配置，可使水资源供应量增加到517亿立方米，相当于目前南水北调年供水量的62% %。这将使原煤产量增加4.04% %，原油产量增加80.8% %。人均粮食产量也提高了1.34% %，确保了粮食安全。这种综合方法强调了跨部门协调在缓解地下水压力、增强能源供应弹性和促进水资源受限能源地区的长期可持续性方面的关键作用。

引用次数: 0

A comparative study on energy service policy development and effectiveness in China and United States 中美能源服务政策发展与有效性比较研究

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-12-10 DOI: 10.1016/j.esr.2025.101996

Yutong Wen , Xinying Huang , Saina Zheng , Jingfeng Yuan , Yanru Pu

The prominence of Energy Performance Contracting (EPC) has grown particularly dramatically in recent years, prompting countries to enact policies aimed at fostering wider EPC adoption and backing up the growth of Energy Service Companies (ESCOs). However, the effectiveness of these overarching policies and their varied policy instruments remains a topic of uncertainty. This study aims to design an analytical framework for evaluating EPC policy power and examine the effectiveness of different policy instruments to ESCO industry growth through empirical analysis, focusing on China and the United States—two leading ESCO markets. Comparative analysis was conducted in three development periods based on the results of quantitative analysis of policy power. Multiple linear regression and ARDL model are applied to examine how policy power influences ESCO industry growth in both countries, followed by the use of the LMG method to evaluate the relative importance of selected drivers. The findings underscore the preeminent role of policy promotion in propelling the development of the ESCO industry in both countries. Additionally, the LMG technique is employed to assess the individual contribution of command-and-control (CAC), economic incentive (EI), and exhortatory instruments (EXI) in shaping industry outcomes. The impact of these policy types on the ESCO industry varies significantly, with EXI exerted most pronounced impact in China and CAC in US. In terms of the results, suggestions are proposed for policymakers to effectively promote ESCO development.

近年来，能源绩效合同（EPC）的重要性显著提高，促使各国制定政策，旨在促进更广泛的EPC采用，并支持能源服务公司（esco）的发展。然而，这些总体政策及其各种政策工具的有效性仍然是一个不确定的话题。本研究旨在设计一个评估EPC政策力量的分析框架，并通过实证分析检验不同政策工具对ESCO行业增长的有效性，重点关注中国和美国这两个主要的ESCO市场。在政策权力定量分析结果的基础上，对三个发展时期进行了比较分析。本文采用多元线性回归和ARDL模型来检验两国政策权力如何影响ESCO行业增长，然后使用LMG方法来评估选定驱动因素的相对重要性。调查结果强调了政策促进在推动两国ESCO行业发展方面的卓越作用。此外，LMG技术被用于评估命令与控制（CAC）、经济激励（EI）和规劝工具（EXI）在塑造行业结果中的个体贡献。这些政策类型对ESCO行业的影响差异显著，其中EXI对中国的影响最为显著，CAC对美国的影响最为显著。研究结果为政策制定者提供了有效促进ESCO发展的建议。

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引用次数: 0

A qualitative analysis of the solar rooftop scheme in Bangladesh under NEM guidelines 在新能源政策指导下对孟加拉国太阳能屋顶计划的定性分析

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-12-10 DOI: 10.1016/j.esr.2025.101957

Tareq Mahbub , Sakib Bin Amin , Tahmilur Rahman

In 2010, Bangladesh enacted rules mandating rooftop systems for consumers seeking to join the grid system for new domestic, industrial, and commercial electricity connections. After a decade, the first net metering policy was launched with further revisions of policies aimed at widening the adoption of rooftop solar systems. However, rooftop solar systems have not been widely adopted despite the introduction of several supportive policies and incentives. This study aims to conduct a qualitative analysis of the existing solar rooftop scheme in Bangladesh investigating the specific deficiencies and asymmetries hindering its wide-scale adoption and future growth. It adopts a qualitative research design comprising semi-structured interviews and archival data. The findings reveal that several significant obstacles hinder the widespread adoption of rooftop solar energy in Bangladesh, such as high import duties, insufficient financial incentives, obsolete grid infrastructure, lack of robust financial and business models, insufficient product quality standards and testing facilities, and inadequate public awareness. Based on the findings, proposed policy revisions aim to enhance the scalability of rooftop solar energy adoption.

2010年，孟加拉国颁布了规定，要求为寻求加入电网系统的消费者安装屋顶系统，用于新的家庭、工业和商业电力连接。十年后，第一个净计量政策出台，并进一步修订了旨在扩大屋顶太阳能系统采用的政策。然而，尽管出台了一些支持性政策和激励措施，屋顶太阳能系统仍未被广泛采用。本研究旨在对孟加拉国现有的太阳能屋顶方案进行定性分析，调查阻碍其大规模采用和未来增长的具体缺陷和不对称。本研究采用半结构化访谈与档案资料相结合的质性研究设计。研究结果表明，有几个重大障碍阻碍了孟加拉国屋顶太阳能的广泛采用，例如进口关税高、财政激励措施不足、电网基础设施陈旧、缺乏健全的金融和商业模式、产品质量标准和测试设施不足以及公众意识不足。根据研究结果，拟议的政策修订旨在提高屋顶太阳能采用的可扩展性。

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引用次数: 0

Exploring knowledge structure of “dual carbon” policies: Combining computational text mining and knowledge graph “双碳”政策的知识结构探索：结合计算文本挖掘和知识图

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-11-01 DOI: 10.1016/j.esr.2025.101976

Yuan Fu , Peihan Wen , Junlin Wu , Yujiao Shu

To support energy transition and climate action, China has announced its “dual carbon” goals and introduced a series of related policies. However, these policies remain disorganised and scattered across various platforms and formats, posing significant challenges for accessibility and effective utilisation. To address this, we propose an integrated approach that combines computational text mining with knowledge graph construction to uncover the underlying knowledge structure of the policy systems. Specifically, our method considers both the external attributes and internal conceptual content of policies. We develop an adaptive knowledge extraction framework that incorporates multiple text mining techniques. By examining the network structure of the resulting policy-oriented knowledge graph, we identify key patterns and problems in the current policy system spanning dimensions such as citation networks, institutional roles, legal force, thematic focus, objectives, and implementation measures. Results indicate that the top-level documents play both a leading and bridging role, and that China is complementing administrative directives with increasing use of market and financial instruments. The analysis also highlights areas for improvement, including strengthening inter-provincial coordination, enacting specialised legislation, and refining the specificity and standards of policy implementation. The insights offer valuable strategic guidance for Chinese policymakers while offering transferable implications for other nations pursuing climate and energy strategy goals.

为支持能源转型和气候行动，中国宣布了“双碳”目标，并出台了一系列相关政策。然而，这些政策仍然杂乱无章，分散在不同的平台和格式中，对可访问性和有效利用构成了重大挑战。为了解决这个问题，我们提出了一种将计算文本挖掘与知识图构建相结合的集成方法，以揭示策略系统的底层知识结构。具体来说，我们的方法考虑了策略的外部属性和内部概念内容。我们开发了一个融合多种文本挖掘技术的自适应知识提取框架。通过研究政策导向知识图谱的网络结构，我们确定了当前政策体系中的关键模式和问题，涵盖了引文网络、制度角色、法律效力、专题重点、目标和实施措施等维度。结果表明，高层文件既起着主导作用，也起着桥梁作用，中国正在通过越来越多地使用市场和金融工具来补充行政指令。分析还强调了需要改进的领域，包括加强省际协调，制定专门立法，完善政策执行的具体内容和标准。这些见解为中国决策者提供了有价值的战略指导，同时也为其他追求气候和能源战略目标的国家提供了可转移的启示。

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引用次数: 0

Decoding electric vehicle adoption intention in densely populated cities: An integrated hybrid SEM–ANN approach 人口密集城市电动汽车使用意向解码：一种集成的混合SEM-ANN方法

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-11-01 DOI: 10.1016/j.esr.2025.101964

Ruiqi Chang , Razib Chandra Chanda , Ali Vafaei-Zadeh , Haniruzila Hanifah

Rapid urbanization in densely populated cities has led to a dramatic increase in fossil fuel-powered vehicles, worsening air pollution, and public health concerns. Addressing these challenges requires sustainable mobility solutions, among which the adoption of electric vehicles (EVs) stands out as a viable alternative. However, customers' decision-making toward EV adoption remains complex and underexplored, particularly in developing countries. To bridge this gap, this study investigates the key antecedents shaping attitudes toward EVs and their influence on adoption intention. Adopting a quantitative research design, data were collected from 363 licensed drivers in Bangladesh through purposive sampling. To enhance the rigor and reliability of results, a multistage analytical approach was employed, combining linear modelling (PLS-SEM) and non-linear analysis (ANN). The PLS-SEM findings revealed that eco-friendly benefit, perceived return, operational economic benefit, and neuroticism are the most critical antecedents influencing attitude. Attitude, in turn, was found to strongly predict EV adoption intention. Complementing these results, Artificial Neural Network (ANN) analysis ranked the relative importance of the antecedents, highlighting neuroticism (100 %) as the most influential predictor of attitude, which itself emerged as the strongest driver of EV adoption intention. Additionally, risk aversion was identified as a moderator of the relationship between attitude and EVs adoption intention. Overall, the integration of PLS-SEM and ANN confirmed the pivotal role of attitude in shaping EV adoption intention in densely populated cities. The findings provide valuable insights for both academic researchers and industry stakeholders in understanding customer decision-making dynamics and promoting environmentally sustainable transportation.

人口密集城市的快速城市化导致化石燃料驱动的车辆急剧增加，空气污染恶化，以及公众健康问题。应对这些挑战需要可持续的交通解决方案，其中电动汽车（ev）的采用是一个可行的替代方案。然而，消费者对电动汽车的决策仍然很复杂，而且尚未得到充分探索，尤其是在发展中国家。为了弥补这一差距，本研究调查了影响电动汽车态度的关键因素及其对采用意愿的影响。采用定量研究设计，通过有目的抽样从孟加拉国的363名有执照的司机中收集数据。为了提高结果的严谨性和可靠性，采用了线性建模（PLS-SEM）和非线性分析（ANN）相结合的多阶段分析方法。PLS-SEM结果显示，生态效益、感知回报、经营经济效益和神经质是影响态度的最重要前因。态度，反过来，被发现强烈预测电动汽车的采用意愿。与这些结果相辅相成的是，人工神经网络（ANN）分析对前因的相对重要性进行了排序，强调神经质（100% %）是态度最具影响力的预测因子，而神经质本身又成为电动汽车采用意愿的最强驱动因素。此外，风险厌恶是态度与电动汽车采用意愿之间关系的调节因子。总体而言，PLS-SEM和人工神经网络的整合证实了态度在人口密集城市形成电动汽车采用意愿方面的关键作用。研究结果为学术研究人员和行业利益相关者了解客户决策动态和促进环境可持续交通提供了宝贵的见解。

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引用次数: 0

Decarbonizing East China's energy landscape: The role of geothermal energy in the energy-water-food nexus 脱碳的华东能源格局：地热能在能源-水-粮食关系中的作用

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-11-01 DOI: 10.1016/j.esr.2025.101961

Lyu Wenhui , Wing-Keung Wong , Siao-Yun Wei , Zilola Shamansurova , Gadah Albasher , Akbar mansor

This paper seeks to fill this knowledge gap by examining the relationships between economic factors, flexibility modelling and geothermal innovation as a nexus in East China. Energy and water are intensively influencing the production of food, which indicates the utmost significant role of the energy-food-water nexus (EWF) in the current literature. Although de-carbonization is urgently needed due to climate change, the gap in the research regarding the development of the models that improve the EWF nexus and renewable energy production is present. With the help of an extensive evaluation framework and pioneer models, this study explores how geothermal energy can help resolve energy poverty and address the issue of de-carbonization. Moreover, the research paper explores the possibility of hydrogen produced by surplus electricity generated by geothermal energy. The economic perspective of the analysis is to assess the cost-effectiveness, investment, and financial incentives to increase renewable resources, especially geothermal energy, of the EWF nexus. The study provides a strategic implementation plan with specific milestones in 2030, 2040 and 2050, showing the longer-term advantages of combining economic roadmaps with technology to create a sustainable and low-carbon world. The study's findings indicate that harnessing geothermal energy to fulfill energy demands can eliminate energy poverty and enhance the EWF nexus in the region. Based on these results, the study recommends that policymakers in selected countries develop applicable strategies to harness the benefits of geothermal energy sources, achieving the goals of renewable energy generation and EWF nexus enhancement.

本文试图通过考察经济因素、弹性模型和地热创新之间的关系来填补这一知识空白。能源和水在很大程度上影响着食物的生产，这表明能源-食物-水关系（EWF）在当前文献中发挥着最重要的作用。尽管气候变化迫切需要脱碳，但在改善EWF联系和可再生能源生产的模型开发方面的研究仍存在空白。借助广泛的评估框架和先锋模型，本研究探讨了地热能如何帮助解决能源贫困和解决脱碳问题。此外，研究论文还探讨了利用地热能产生的剩余电力生产氢气的可能性。分析的经济角度是评估增加可再生资源，特别是地热能的EWF关系的成本效益、投资和财政激励。该研究提供了一个战略实施计划，其中包括2030年、2040年和2050年的具体里程碑，显示了将经济路线图与技术相结合以创造一个可持续和低碳世界的长期优势。研究结果表明，利用地热能满足能源需求可以消除能源贫困，增强该地区的EWF联系。根据这些结果，该研究建议选定国家的决策者制定适用的战略，利用地热能的好处，实现可再生能源发电和增强EWF联系的目标。

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引用次数: 0

Comprehensive bibliometric analysis of electric vehicle research: Trends, emerging topics, and sustainability insights 电动汽车研究的综合文献计量分析：趋势、新兴主题和可持续性见解

IF 7.9 2区工程技术 Q1 ENERGY & FUELS

Energy Strategy Reviews

Pub Date : 2025-11-01 DOI: 10.1016/j.esr.2025.101963

Amir Ali Mostaghis , Negin Mirzaei , Hossein Yousefi , Ahmad Hajinezhad , Mahmood Abdoos

This study provides a comprehensive bibliometric analysis based on over 85,000 papers sourced from the SCOPUS database between 2016 and early 2025. Utilizing VOSviewer, the EV research domain was categorized into 15 thematic clusters based on a keyword co-occurrence threshold of 34. Cluster labels were assigned according to the most frequent and central terms, and further validated through manual inspection of representative publications. Recent developments and emerging trends in each criterion have been outlined, using network, overlay, and density maps. Sustainability insights were derived from clusters such as “Environment,” “Sustainability and Resource Management,” and “Hydrogen,” highlighting contributions to carbon reduction, circular economy, and green fuel transitions. China has the most published papers overall, and India and United States follow after, showcasing global research distribution. Notably, the dominance of China and the rapid growth of hydrogen-related research emerged as key findings. Emerging trends include the application of artificial intelligence (AI) in EV infrastructure and the rise of hydrogen supply chain logistics emphasizing the combination of sustainable energy sources, technology acceptance, and developing modeling techniques. Findings of this study provide valuable insights for researchers, policymakers, and industry stakeholders. Through this study, the multidisciplinary nature of EV research has been underlined, with clear implications for sustainable transportation systems. Findings of this study provide valuable insights for researchers, policymakers, and industry stakeholders, offering a structured evidence base to guide investment decisions, policy design, and the strategic advancement of electric mobility systems.

本研究基于2016年至2025年初来自SCOPUS数据库的85000多篇论文进行了全面的文献计量分析。基于关键词共现阈值34，利用VOSviewer将EV研究领域划分为15个主题类。根据最频繁和中心术语分配聚类标签，并通过对代表性出版物的人工检查进一步验证。使用网络、覆盖和密度图，概述了每个标准的最新发展和新趋势。可持续性见解来自“环境”、“可持续性与资源管理”和“氢”等集群，突出了对碳减排、循环经济和绿色燃料转型的贡献。中国发表的论文总数最多，印度和美国紧随其后，显示出全球研究分布。值得注意的是，中国的主导地位和氢相关研究的快速增长成为关键发现。新兴趋势包括人工智能（AI）在电动汽车基础设施中的应用，以及强调可持续能源、技术接受和开发建模技术相结合的氢供应链物流的兴起。本研究的发现为研究人员、政策制定者和行业利益相关者提供了有价值的见解。通过这项研究，强调了电动汽车研究的多学科性质，对可持续交通系统具有明确的影响。本研究结果为研究人员、政策制定者和行业利益相关者提供了有价值的见解，为指导电动交通系统的投资决策、政策设计和战略推进提供了结构化的证据基础。

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引用次数: 0