Renewable and Sustainable Energy Reviews最新文献

{"title":"The evolution of low-temperature lithium metal batteries: Materials, mechanisms, and applications","authors":"Chenxi Yu ,&nbsp;Bao Wang ,&nbsp;Shumin Zheng","doi":"10.1016/j.rser.2025.116088","DOIUrl":"10.1016/j.rser.2025.116088","url":null,"abstract":"<div><div>With the rapid development of high-power-consumption devices such as portable electronics, electric vehicles, power tools, and renewable energy storage systems (RESS), there is an escalating market demand for energy storage solutions that simultaneously offers high energy density and reliable low-temperature performance. Sub-zero temperatures cause significant capacity degradation, reduced output power, and shortened lifespan in energy storage devices, preventing them from achieving optimal performance. Consequently, enhancing the operational capabilities of energy storage systems under frigid conditions is critically important. Lithium metal, with its ultra-low standard electrode potential (−3.04 V vs. SHE) and exceptionally high theoretical specific capacity (3860 mAh/g), endows lithium metal batteries (LMBs) with exceptional potential for low-temperature operation. In recent years, research on low-temperature applications of LMBs has garnered extensive academic attention and generated substantial publications. This review systematically summarizes research progress in low-temperature LMBs and provides an in-depth analysis of current critical challenges and technical bottlenecks. We focus specifically on performance enhancement strategies, particularly electrolyte optimization, separator coating materials, lithium metal anode stabilization, and 3D conductive frameworks design. Finally, the review prospects future development directions for low-temperature LMBs. Through continuous technological innovation and performance optimization, we anticipate these batteries will achieve large-scale commercialization and catalyze revolutionary breakthroughs in the energy storage sector.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"224 ","pages":"Article 116088"},"PeriodicalIF":16.3,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advances in computer vision-based structural health monitoring techniques for wind turbine blades","authors":"Shohreh Sheiati,&nbsp;Xiao Chen","doi":"10.1016/j.rser.2025.116078","DOIUrl":"10.1016/j.rser.2025.116078","url":null,"abstract":"<div><div>With the rapid growth of wind energy, larger wind turbines with longer blades have been developed to maximize energy production. However, the increased blade size has also led to higher repair and maintenance costs, which demands efficient and reliable structural health monitoring techniques for wind turbine blades. Computer vision techniques have emerged as promising tools to address the key topics in blade structural health monitoring, including damage detection, damage localization, damage classification, and damage quantification. Despite recent advancements in both traditional computer vision methods and advanced approaches like deep learning, a comprehensive evaluation of the most effective computer vision techniques for structural health monitoring of wind turbine blades remains absent. This includes consideration of task-specific conditions such as environmental variability, computational requirements, and characteristics of different blade damages. This paper analyzes the strengths and limitations of state-of-the-art computer vision techniques for structural health monitoring of wind turbine blades, as well as the imaging modalities applicable to capturing different blade damages. This study also identifies the existing research gaps and future research for advancing computer vision-based structural health monitoring of wind turbine blades.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"224 ","pages":"Article 116078"},"PeriodicalIF":16.3,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comprehensive review of machine learning-based state of health estimation for lithium-ion batteries: data, features, algorithms, and future challenges","authors":"Yaxuan Wang ,&nbsp;Shilong Guo ,&nbsp;Yue Cui ,&nbsp;Liang Deng ,&nbsp;Lei Zhao ,&nbsp;Junfu Li ,&nbsp;Zhenbo Wang","doi":"10.1016/j.rser.2025.116125","DOIUrl":"10.1016/j.rser.2025.116125","url":null,"abstract":"<div><div>Lithium-ion batteries are widely used in electric vehicles and energy storage systems, where reliable state of health (SOH) estimation is critical to ensure operational safety and lifecycle management. In recent years, machine learning (ML) has emerged as a powerful data-driven tool for battery SOH estimation due to its capability in learning complex degradation patterns from data. This review systematically examines the full ML-based SOH estimation workflow, beginning with an overview of measured, public, and synthetic datasets and common preprocessing techniques. The review then emphasizes feature engineering, analyzing the extraction of health indicators from voltage, current, temperature, incremental capacity (IC) curves, and advanced sensor data, as well as feature selection methods that improve model efficiency and robustness. On this basis, various ML algorithms are evaluated in terms of accuracy, generalization, practical deployment, and other key attributes. Finally, the review discusses ongoing challenges such as data scarcity, domain transferability, and physical consistency, and highlights future directions including physics-informed learning and hybrid data–model fusion. This work offers a comprehensive reference and forward-looking insight into the development of intelligent, reliable, and interpretable battery health estimation systems.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"224 ","pages":"Article 116125"},"PeriodicalIF":16.3,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ammonia-based processes integrated with fuel cells for electrical power generation: a review","authors":"A. Bellucci Sessa,&nbsp;B. Abdoos,&nbsp;M. Turco,&nbsp;A. Di Benedetto,&nbsp;D. Russo","doi":"10.1016/j.rser.2025.116134","DOIUrl":"10.1016/j.rser.2025.116134","url":null,"abstract":"<div><div>Liquid carriers are expected to play a pivotal role in the large-scale transport of hydrogen. Among the various candidates, ammonia emerges as a carbon-free molecule, supported by mature, cost-effective infrastructure. In decentralized electrical power generation, ammonia storage can be integrated directly with fuel cells or indirectly via cracking and separation units to feed proton exchange membrane fuel cells. The overall energy efficiency of such integrated systems is strongly influenced by the interaction between the unit operations and the potential to couple exothermic and endothermic processes for energy recovery. This review analyzes recent developments in ammonia-based systems integrated with fuel cells, focusing on the characteristics and interaction of key units from an integration and performance perspective. Critical gaps are identified that currently limit system efficiency and deployment. Particular attention is devoted to nitrogen and ammonia separation, which significantly affects fuel cell performance and overall system efficiency depending on the fuel cell type and operating conditions. Integration with afterburners and gas turbines is discussed as a strategy to enhance overall energy output. Finally, the review addresses electrification opportunities and safety concerns, highlighting potential hazards, accidental scenarios, and mitigation strategies to support the safe and sustainable design of decentralized ammonia-based power systems.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"224 ","pages":"Article 116134"},"PeriodicalIF":16.3,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advances in computational intelligence for floating offshore wind turbines aerodynamics: Current state review and future potential","authors":"H.H. Mian ,&nbsp;F.A. Machot ,&nbsp;H. Ullah ,&nbsp;A. Keprate ,&nbsp;M.S. Siddiqui","doi":"10.1016/j.rser.2025.116098","DOIUrl":"10.1016/j.rser.2025.116098","url":null,"abstract":"<div><div>Floating offshore wind turbines (FOWTs) are an emerging technology that allows wind energy generation in deep waters. Numerical simulations are pivotal in designing, analyzing, and optimizing FOWTs due to their multiphysics nature. This review presents recent advances in numerical simulation tools, ranging from low-fidelity engineering models to high-fidelity computational fluid dynamics (CFD) codes for FOWT aerodynamics. We review various open-source and commercial software developments and summarize validation projects focused on improving the FOWT simulations. Given the dynamic nature of floating turbines, the impact of wake aerodynamics has also been critically assessed. Additionally, data-driven modeling has emerged as a promising approach for improving FOWT design, leveraging data from numerical models and experiments. We discuss the strengths and limitations of various computational methods, highlighting the potential of integrating data-driven techniques with next-generation AI methods. Finally, future research directions and opportunities in floating wind energy are identified.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"224 ","pages":"Article 116098"},"PeriodicalIF":16.3,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing sustainable fuel adoption in the energy transition for maritime and aviation transport","authors":"Tansu Galimova ,&nbsp;Sotiria Lagouvardou ,&nbsp;Hamed Kian ,&nbsp;Christian Breyer","doi":"10.1016/j.rser.2025.116124","DOIUrl":"10.1016/j.rser.2025.116124","url":null,"abstract":"<div><div>Maritime and aviation transport are widely recognised as sectors where reducing greenhouse gas emissions is particularly challenging due to their reliance on energy-dense fuels and the challenges associated with direct electrification. These sectors face increasing pressure to defossilise and reduce emissions in line with global climate goals, while simultaneously facing unique technological, operational, and economic uncertainties. This study addresses a key research gap by comparing the maritime and aviation sectors for common factors and sector-specific differences in their transition to green e-fuels produced from renewable electricity and sustainable CO₂. A techno-economic assessment is conducted to evaluate alternative fuel and propulsion options using the levelised cost of mobility framework. The analysis also incorporates the pricing of non-CO₂ greenhouse gases and air pollutant emissions. Results show that e-ammonia or e-LNG combustion is the most cost-effective option for maritime transport, when emission costs are excluded, whereas hydrogen fuel cells become more economical when these costs are internalised. In aviation, e-kerosene use in conventional aircraft presents the lowest costs, regardless of the year or emission pricing. The findings highlight the importance of considering unique characteristics of each sector and tailored defossilisation and decarbonisation strategies that consider sector-specific constraints. To sustainably meet the growing demand for transport fuels, rapid investments in renewable electricity generation, electrolysers, and e-fuel synthesis are essential. Development of strong regulatory frameworks and financial instruments will be critical to support early deployment of e-fuels and minimise the risks.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"224 ","pages":"Article 116124"},"PeriodicalIF":16.3,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainability challenges and opportunities of shallow borehole geothermal systems","authors":"M. Aridi ,&nbsp;E. Maalouf ,&nbsp;A. Yehya ,&nbsp;R. Aridi","doi":"10.1016/j.rser.2025.116102","DOIUrl":"10.1016/j.rser.2025.116102","url":null,"abstract":"<div><div>Shallow Borehole Geothermal Systems (SBGSs) are gaining recognition as a low-carbon solution for sustainable heating and cooling, yet their widespread adoption remains limited by fragmented assessments and implementation barriers. This study presents a structured, multi-stage review of SBGS sustainability, integrating environmental, economic, social, technical, and policy dimensions. The methodology combines a broad exploratory scan of over 160 publications with a targeted analysis of 31 peer-reviewed articles published between 2010 and 2024, supported by more than 100 references to provide contextual data where direct metrics were unavailable. Litterature applications reveal that SBGSs can reduce CO₂ emissions by 65–85 % compared to fossil fuel systems and yield energy savings of 26–50 % through ground source heat pumps. However, cost-effectiveness remains highly site-dependent, with initial investment and drilling expenses posing major barriers, particularly in dense urban areas. Social acceptance, legal clarity, and permitting delays further hinder deployment. To validate and apply the findings, a scenario-based case study of a hypothetical 10 MW community-scale SBGS project was developed. The case study integrates quantified indicators from all five sustainability dimensions and demonstrates the system's potential benefits and trade-offs under real-world constraints. This work offers a holistic and data-informed synthesis of SBGS sustainability and highlights the need for long-term performance monitoring, regulatory harmonization, and deeper engagement with social and economic contexts to support broader adoption and policy alignment across diverse geographical regions.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"224 ","pages":"Article 116102"},"PeriodicalIF":16.3,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reviewing the EU policy nexus of energy efficiency and social policy","authors":"Johan Nordensvärd ,&nbsp;Martin Björklund ,&nbsp;Fredrik von Malmborg ,&nbsp;Lina La Fleur ,&nbsp;Emma Skogsmo ,&nbsp;Daniel H.B. Gamez","doi":"10.1016/j.rser.2025.116128","DOIUrl":"10.1016/j.rser.2025.116128","url":null,"abstract":"<div><div>This paper aims to analyse how the European Union (EU) energy policy has merged social policy concepts with energy efficiency policy. Energy efficiency has increasingly become understood through social policy concepts such as energy poverty, energy inequality, and lack of cohesion. Previous research has shown how the social aspects of energy efficiency have been highlighted by the European Commission when talking about the multiple benefits of energy efficiency increasing efforts, such as renovating buildings. Using a mixed-method approach with material from the European Commission, the Council of the European Union and the European Parliament we review energy policy from a social policy perspective. Our analysis is done in two steps: (i) identifying which of the EU institutions acted as an agenda-setter introducing the social aspects of energy efficiency, and (ii) describing and analysing the framing process of merging social concepts with energy policy. We do this through qualitative and quantitative analysis of EU policy documents. A range of key words are utilized to explore the links between social policy and energy policy as part of the quantitative part of the analysis. We conclude that social aspects are first connected to the energy policy field by the European Parliament. The established connection is then reinforced by the Commission by the inclusion of social policy aspects, mainly in the policy on the transition to energy efficiency and zero-carbon buildings, where concepts such as energy poverty become central.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"224 ","pages":"Article 116128"},"PeriodicalIF":16.3,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-healing multi-agent techniques in electric power distribution systems: A review","authors":"Ibrahim Hamdeen,&nbsp;Ebrahim A. Badran,&nbsp;Mohamed F. Kotb,&nbsp;Mohamed Elgamal","doi":"10.1016/j.rser.2025.116132","DOIUrl":"10.1016/j.rser.2025.116132","url":null,"abstract":"<div><div>In the context of increasing complexity in power distribution networks, the development of self-healing systems has become essential. Interest and research in this area have grown significantly in recent years. The integration of self-healing capabilities has transformed the structure and operation of both conventional and smart distribution networks, particularly affecting protection and protection coordination systems. This paper presents a comprehensive review of the objectives, functions, applications, challenges, and recent advancements in self-healing technologies aimed at improving the control and operation of distribution systems. It also explores the technological and structural components that support self-healing management in smart grids. This paper focuses in particular on the role of self-healing in protection, protection coordination, fault location and isolation, system restoration, and power flow and voltage control. The study evaluates self-healing frameworks based on multi-agent systems for both control and protection in distribution networks. In these frameworks, primary protection relies on peer-to-peer communication among zone agents to detect and isolate faults efficiently. The main functions of these frameworks also include system monitoring, fault diagnosis and location, and effective grid restoration following fault isolation. Additionally, the paper reviews various self-healing control methodologies and strategies designed to enhance the performance of smart distribution systems, with a special focus on protection and coordination. The role of information and communication technologies, software tools, and measurement systems in achieving effective self-healing is also discussed. Furthermore, recent optimization techniques addressing self-healing challenges in distribution networks are examined. Finally, industrial challenges, such as communication delays and cyberattack threats, are discussed, followed by an analysis of existing research gaps and prospective directions for future work. A total of 147 relevant articles, including the most recent publications, have been analyzed. This review aims to serve as a rich and valuable source for those interested in developing the protection, control, operation, and reliability of power distribution systems through self-healing and multi-agent approaches.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"224 ","pages":"Article 116132"},"PeriodicalIF":16.3,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards high-performance fuel cell systems: Comprehensive review of methods for modeling, control, and optimization","authors":"Zhihua Deng ,&nbsp;Bin Miao ,&nbsp;Yunjia Cui ,&nbsp;Jian Chen ,&nbsp;Zehua Pan ,&nbsp;Hao Liu ,&nbsp;Deendarlianto Deendarlianto ,&nbsp;Suwarno Suwarno ,&nbsp;Siew Hwa Chan","doi":"10.1016/j.rser.2025.116122","DOIUrl":"10.1016/j.rser.2025.116122","url":null,"abstract":"<div><div>Fuel cells are increasingly recognized as a cornerstone technology for sustainable, decarbonized, and intelligent energy infrastructures. They offer high energy efficiency, zero carbon emissions with green hydrogen, and operational flexibility—making them well suited for transportation, distributed generation, and backup power applications. This review presents a comprehensive and systematic analysis of recent advances in the modeling, control, and optimization of fuel cell systems. First, the review outlines the research background, technological significance, fundamental principles, and potential applications for high-performance fuel cell systems. Second, it categorizes and compares existing modeling methods, including mechanistic, empirical, semi-empirical, and data-driven models, highlighting quantitative metrices such as computational efficiency, accuracy, and suitability for real-time deployment. Third, the evolution of control strategies is further systematically discussed, from conventional proportional integral differential controller to advanced adaptive, robust, and artificial intelligence-based schemes, with special attention to tracking error and robustness under dynamic operating conditions. Fourth, multi-objective optimization frameworks are examined for balancing efficiency, cost, durability, and fuel utilization. Finally, the review identifies key challenges and future research directions for enhancing modeling fidelity, real-time control performance, and intelligence optimization. This work provides valuable insights for researchers and practitioners aiming to enhance the intelligence, efficiency, and reliability of next-generation fuel cell systems.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"224 ","pages":"Article 116122"},"PeriodicalIF":16.3,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}