Energy Reports最新文献_第6页

Truck-based inter-station battery transportation strategy for battery swapping stations considering the intra-day irregular behavior of electric vehicles 考虑电动汽车日间不规律行为的换电池站基于卡车的跨站电池运输策略

IF 4.7 3区工程技术

Energy Reports Pub Date : 2025-07-25 DOI: 10.1016/j.egyr.2025.07.037

Wenguo Yan , Pengcheng Li , Yirui Han , Zhuo Zhao , Delong Zhang , Zhisong Xu , Zhijian Liu

{"title":"Truck-based inter-station battery transportation strategy for battery swapping stations considering the intra-day irregular behavior of electric vehicles","authors":"Wenguo Yan , Pengcheng Li , Yirui Han , Zhuo Zhao , Delong Zhang , Zhisong Xu , Zhijian Liu","doi":"10.1016/j.egyr.2025.07.037","DOIUrl":"10.1016/j.egyr.2025.07.037","url":null,"abstract":"<div><div>The battery-swapping mode has attracted academic attention due to its advantages in shortening electric vehicles (EVs) replenishment time. However, researchers are less focused on how to respond to the irregular behavior of EVs. To address this issue, a truck-based inter-station battery transportation strategy is presented in this paper, where the irregular behaviors of reservation cancellation and unspecified reservations are considered. Firstly, the electricity amount fluctuation process of the individual charging bay is accurately characterized, and the corresponding influence on the operation scheme imposed by the EV irregular behavior is quantified accordingly. On this basis, a two-step EV control strategy is established, which modifies the matching result between EVs and battery swapping stations (BSSs) using access guidance and realizes the reallocation of EV batteries through the operation of battery transporting trucks. Finally, an inter-station battery transportation strategy is designed to achieve the real-time dispatching of irregular EVs and battery-transporting trucks. Simulation results show that the proposed two-step model can enhance the service quality of BSSs and efficiently utilize battery resources under limited battery resource conditions.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"14 ","pages":"Pages 1314-1326"},"PeriodicalIF":4.7,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Project TERESA: A GIS-based multifactorial framework utilizing supervised machine learning for nation-scale electrification planning TERESA项目：一个基于gis的多因素框架，利用监督机器学习进行全国范围的电气化规划

IF 4.7 3区工程技术

Energy Reports Pub Date : 2025-07-25 DOI: 10.1016/j.egyr.2025.07.012

Corrado Maria Caminiti , Aleksandar Dimovski , Lorenzo Maria Filippo Albertini , Darlain Irenee Edeme , Berino Francisco Silinto , Enrico Ragaini , Marco Merlo

{"title":"Project TERESA: A GIS-based multifactorial framework utilizing supervised machine learning for nation-scale electrification planning","authors":"Corrado Maria Caminiti , Aleksandar Dimovski , Lorenzo Maria Filippo Albertini , Darlain Irenee Edeme , Berino Francisco Silinto , Enrico Ragaini , Marco Merlo","doi":"10.1016/j.egyr.2025.07.012","DOIUrl":"10.1016/j.egyr.2025.07.012","url":null,"abstract":"<div><div>This paper presents a large-scale electrification strategy developed within the project ”Technology for Rural Electrification in Sub-Saharan Africa” (TERESA). The approach proposed enhances the existing electrification framework GISEle by improving the population aggregation, introducing a novel survey-based methodology for energy demand estimation in spatially clustered communities, and incorporating a rule-based meta-heuristic algorithm to solve the optimization problem. Initially, iterative DBSCAN clusters population data. Electric grid and nighttime lighting open-source datasets then determine the electrification stage of communities. Subsequent steps involve load profile estimation: Multi-Tier Framework surveys gather household, educational, healthcare, and commercial activities data in selected communities. This represents a significant innovation in modeling cluster-level demand by systematically integrating survey insights into scalable energy planning. Considering the non-linearity between energy consumption, socioeconomic and resource consuming on-field campaigns, a supervised machine learning model extrapolates the energy demand of all the communities recognized by the clustering procedure. Lastly, a rule-based approach is utilized to determine each community’s means of electrification, and a genetic algorithm is employed for expanding the national grid. The approach was applied to the Zambezia region—the second most populous and least electrified province in Mozambique. In this context, the method enabled demand estimation for 1,292 communities, leveraging and transferring insights derived from 726 on-field surveys to support broader regional planning.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"14 ","pages":"Pages 1303-1313"},"PeriodicalIF":4.7,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on the economic comparison and low-carbon benefits of major low-carbon thermal power technologies in China 中国主要低碳火电技术的经济比较与低碳效益研究

IF 4.7 3区工程技术

Energy Reports Pub Date : 2025-07-25 DOI: 10.1016/j.egyr.2025.07.021

Zhijia Huo , Xiangyang Xu , Ying Long

{"title":"Study on the economic comparison and low-carbon benefits of major low-carbon thermal power technologies in China","authors":"Zhijia Huo , Xiangyang Xu , Ying Long","doi":"10.1016/j.egyr.2025.07.021","DOIUrl":"10.1016/j.egyr.2025.07.021","url":null,"abstract":"<div><div>In the context of the \"dual carbon\" goal, the reduction of carbon emissions of thermal power units is the key to the implementation of emission reduction targets in China. In this paper, the economic evaluation model of low-carbon thermal power technology is constructed, and the economic benefits and emission reduction benefits of six kinds of low-carbon thermal power technology are compared and analyzed. Results indicate that when coal prices fall to 600 CNY/t and natural gas to 0.8 CNY/m³ , the levelized cost of electricity for CPCCS and NGCC drops to the current LCOE level of USDR. While CPCCS requires higher initial investment, its carbon benefits double those of other coal-fired technologies. BCPG leverages biomass fuel's price advantage to simultaneously reduce emissions and increase profits. However, at the current carbon price level, the carbon revenue of CAPP and HDNG cannot offset the increased fuel costs from blending ammonia or hydrogen, thus resulting in poor economic performance. In the future, with the gradual maturity of the carbon market and the improvement of emission reduction targets, China's carbon price level will approach the international level, thereby enhancing the low-carbon benefits of these technologies.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"14 ","pages":"Pages 1392-1402"},"PeriodicalIF":4.7,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Climate change, renewable energy, and Gulf Cooperation Council stock market dynamics: A quantile vector autoregression and wavelet quantile framework 气候变化、可再生能源和海湾合作委员会股票市场动态：分位数向量自回归和小波分位数框架

IF 4.7 3区工程技术

Energy Reports Pub Date : 2025-07-25 DOI: 10.1016/j.egyr.2025.07.035

Alanoud Al-Maadid, Mohamed Sami Ben Ali, Ijaz Younis

{"title":"Climate change, renewable energy, and Gulf Cooperation Council stock market dynamics: A quantile vector autoregression and wavelet quantile framework","authors":"Alanoud Al-Maadid, Mohamed Sami Ben Ali, Ijaz Younis","doi":"10.1016/j.egyr.2025.07.035","DOIUrl":"10.1016/j.egyr.2025.07.035","url":null,"abstract":"<div><div>The Gulf Cooperation Council region's heavy reliance on oil revenue presents unique challenges and opportunities in transitioning to a sustainable economic model. This study employs quantile vector autoregression and wavelet quantile correlation techniques to explore the intricate relationships between climate change, renewable energy, and market returns in the region from August 29, 2014, to December 2023. Our findings reveal that Saudi Arabia, the United Arab Emirates, and Kuwait, serve as net influencers across various economic conditions, emphasizing their critical role in shaping regional dynamics. These economies exhibit resilience during extremely negative conditions, with positive net values indicating their capacity to absorb shocks. In contrast, smaller economies, such as Oman and Bahrain, demonstrate increased vulnerability. Interestingly, the renewable energy index exhibits a slight stabilizing effect during downturns, whereas temperature fluctuations have a significant impact on economic performance, indicating a broader environmental influence on it. The total Connectedness Index consistently remains high across quantiles, underscoring the rapid transmission of economic shocks and benefits within the region. These results highlight the interconnectedness of these economies, revealing that both risks and advantages are swiftly disseminated throughout the region, particularly during times of crisis or exceptional growth. This study provides policymakers, investors, and stakeholders in the region with valuable insights, contributing to a deeper understanding of how climate change and renewable energy initiatives are influencing financial markets.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"14 ","pages":"Pages 1403-1423"},"PeriodicalIF":4.7,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Renewable energy consumption, government policy and income inequality dynamics: Empirical evidence from Africa 可再生能源消费、政府政策和收入不平等动态：来自非洲的经验证据

IF 4.7 3区工程技术

Energy Reports Pub Date : 2025-07-25 DOI: 10.1016/j.egyr.2025.07.016

Mark Edem Kunawotor

{"title":"Renewable energy consumption, government policy and income inequality dynamics: Empirical evidence from Africa","authors":"Mark Edem Kunawotor","doi":"10.1016/j.egyr.2025.07.016","DOIUrl":"10.1016/j.egyr.2025.07.016","url":null,"abstract":"<div><div>This paper examines the unconditional and contingent effects of renewable energy adoption and government policy on income inequality in Africa. The two-step System Generalized Method of Moments (SGMM) is the primary estimator. In addition, however, the Feasible Generalized Least Square (FGLS) that addresses cross-sectional dependence, heteroscedasticity and autocorrelation is deployed on a panel data that includes 52 African countries from 1990 – 2023. The data are gleaned from the Standardized World Income Inequality Database and the World Bank. The findings show that as a co-benefit, renewable energy deployment reduces income inequality. More notably, a synergy of renewable energy and sound government policy via regulatory quality and government effectiveness further reduces income inequality. Accordingly, the computed negative net effects confirm this stance of synergistic effects. Given that North Africa and Southern Africa deploy the least renewables, it is incumbent on these governments to increase renewable energy adoption and also improve their governance index. This is even pertinent for Southern Africa, where income inequality is more persistent. The general policy direction in line with the SDGs is that, besides promoting environmental quality, promoting renewable energy adoption via sound government policy is relevant for income redistribution.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"14 ","pages":"Pages 1424-1433"},"PeriodicalIF":4.7,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Technology Readiness Level assessment of hydrokinetic energy converters 水动力能量转换器的技术成熟度评估

IF 4.7 3区工程技术

Energy Reports Pub Date : 2025-07-24 DOI: 10.1016/j.egyr.2025.06.055

Praveen Malali , Zihao Ding , Martin Ayala Villavicencio

引用次数: 0

A novel combined framework for short-term wind speed forecasting based on data preprocessing with sequence reconstruction and Grey Wolf optimization 基于序列重构数据预处理和灰狼优化的短期风速预报组合框架

IF 4.7 3区工程技术

Energy Reports Pub Date : 2025-07-24 DOI: 10.1016/j.egyr.2025.06.039

Abdul Ghaffar , Weidong Huo , Yasmeen Qamar , Harish Garg , Sadeen Ghafoor

{"title":"A novel combined framework for short-term wind speed forecasting based on data preprocessing with sequence reconstruction and Grey Wolf optimization","authors":"Abdul Ghaffar , Weidong Huo , Yasmeen Qamar , Harish Garg , Sadeen Ghafoor","doi":"10.1016/j.egyr.2025.06.039","DOIUrl":"10.1016/j.egyr.2025.06.039","url":null,"abstract":"<div><div>The forecasting of wind speed in the short term is crucial for the production of wind power and greatly influences control and operational choices. Many prediction techniques have been developed to increase the accuracy of wind speed predictions. However, existing forecasting techniques often overlook the significance of data decomposition and are susceptible to various constraints inherent in traditional individual models, which can lead to suboptimal forecasting accuracy. This study develops a combined forecasting system using data denoising, an ensemble strategy, various classical forecasting models, and an optimized algorithm. More particularly, in order to validate the performance of the proposed combined forecasting system, the original 10-minute wind speed sequence from a wind farm in Penglai, China, is used in this study. The experiment’s results and debate show that the proposed combined forecasting system has improved forecasting accuracy as compared to classical individual forecasting models.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"14 ","pages":"Pages 1251-1272"},"PeriodicalIF":4.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144694341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A risk-aware bidding model for virtual power plants: Integrating renewable energy forecasting and carbon market strategies 虚拟电厂的风险意识投标模型：整合可再生能源预测和碳市场策略

IF 4.7 3区工程技术

Energy Reports Pub Date : 2025-07-24 DOI: 10.1016/j.egyr.2025.07.032

Kumari Nutan Singh , Arup Kumar Goswami , Nalin Behari Dev Chudhury , Umit Cali , Taha Selim Ustun

{"title":"A risk-aware bidding model for virtual power plants: Integrating renewable energy forecasting and carbon market strategies","authors":"Kumari Nutan Singh , Arup Kumar Goswami , Nalin Behari Dev Chudhury , Umit Cali , Taha Selim Ustun","doi":"10.1016/j.egyr.2025.07.032","DOIUrl":"10.1016/j.egyr.2025.07.032","url":null,"abstract":"<div><div>Integrating renewable energy resources (RES) into the energy market through a virtual power plant (VPP) framework is an effective strategy for reducing carbon emissions while enhancing system efficiency, reliability, and cost-effectiveness. However, RES-based power generation is inherently uncertain due to weather variability, making it crucial to incorporate uncertainty modelling. Additionally, carbon emissions can serve as a revenue source through carbon reduction policies such as carbon taxes and cap-and-trade schemes. An alternative approach to carbon reduction is the uplift payment scheme, which promotes a more carbon-efficient energy market (EM). This study introduces a novel bidding model within a VPP environment that leverages Extreme Gradient Boosting algorithm (XGBoost) algorithm to predict RES generation, addressing uncertainty through advanced forecasting techniques. The associated prediction risks are quantified using the Conditional Value at Risk (CVaR) method. Furthermore, the proposed bidding model is integrated with the carbon market, incorporating various carbon reduction policies to determine carbon credit prices dynamically. In addition to this, the proposed model is also optimized with a very new meta-heuristic algorithm called White Shark Optimizer (WSO) Algorithm to check the possibility of convergence of the model. A comprehensive comparative analysis is conducted to evaluate the performance of the proposed approach. The model’s effectiveness is demonstrated through case studies, illustrating its potential to optimize bidding strategies while mitigating risks associated with RES uncertainty and carbon pricing fluctuations. By integrating advanced forecasting methods, risk assessment, and carbon market mechanisms, this work contributes to the development of a more sustainable, reliable, and economically viable energy market.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"14 ","pages":"Pages 1222-1239"},"PeriodicalIF":4.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144694342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mixed-mode ventilation for indoor health and energy efficiency in subtropical climates 亚热带气候下室内健康和能源效率的混合模式通风

IF 4.7 3区工程技术

Energy Reports Pub Date : 2025-07-24 DOI: 10.1016/j.egyr.2025.07.022

Hsin-Chun Lee , Hsieh-Chih Hsu , Chin-Wei Chang , Chen-Yu Pan

{"title":"Mixed-mode ventilation for indoor health and energy efficiency in subtropical climates","authors":"Hsin-Chun Lee , Hsieh-Chih Hsu , Chin-Wei Chang , Chen-Yu Pan","doi":"10.1016/j.egyr.2025.07.022","DOIUrl":"10.1016/j.egyr.2025.07.022","url":null,"abstract":"<div><div>The widening wealth gap has made it increasingly difficult for many households to prioritize indoor environmental health, thereby elevating the risk of physical illness. To address this challenge, maintaining adequate air quality and thermal comfort is essential. This study proposes a mixed-mode ventilation strategy by combining a single-mode single-split air conditioner (set to 25°C) with scheduled window openings, aiming to evaluate its energy-saving potential and health benefits under hot and humid subtropical climate conditions. Results show that, when integrated with thermal comfort indices, the proposed strategy can achieve energy savings ranging from 14.2 % to 37.8 % during the summer. Furthermore, without increasing electricity consumption, it enables two air changes per hour (2 h<sup>−1</sup>), fulfilling the fresh air requirement of 30 m<sup>3</sup>/h per person. A comparison of electricity pricing schemes reveals that a two-tier tariff allows for approximately two additional hours of system operation compared to a three-tier tariff. With the growing adoption of AI-powered smart appliances, this strategy offers promising potential to further reduce energy costs while enhancing indoor environmental quality and health protection.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"14 ","pages":"Pages 1273-1282"},"PeriodicalIF":4.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biomethane-powered SOFC in marine applications: current challenges and future opportunities 海洋应用中的生物甲烷驱动SOFC：当前挑战和未来机遇

IF 4.7 3区工程技术

Energy Reports Pub Date : 2025-07-23 DOI: 10.1016/j.egyr.2025.07.036

Hamza El Marouazi, Pierre Marty

引用次数: 0