Renewable and Sustainable Energy Reviews最新文献

{"title":"Opportunities of applying Large Language Models in building energy sector","authors":"Liang Zhang ,&nbsp;Zhelun Chen","doi":"10.1016/j.rser.2025.115558","DOIUrl":"10.1016/j.rser.2025.115558","url":null,"abstract":"<div><div>In recent years, the rapid advancement and impressive capabilities of Large Language Models have been evident across various engineering domains. This paper explores the application, implications, and potential of Large Language Models in building energy sectors, especially energy efficiency and decarbonization studies, based on an extensive literature review and a survey from building engineers and scientists. The paper explores how LLMs can enhance intelligent control systems, automate code generation for software and modeling tools, optimize data infrastructure, and refine analysis of technical reports and papers. Additionally, the paper discusses the role of LLMs in improving regulatory compliance, supporting building lifecycle management, and revolutionizing education and training practices within the sector. Despite the promising potential of Large Language Models, challenges including complex and expensive computation, data privacy, security and copyright, complexity in fine-tuned Large Language Models, and self-consistency are discussed. The paper concludes with a call for future research focused on the enhancement of LLMs for domain-specific tasks, multi-modal LLMs, and collaborative research between AI and energy experts.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"214 ","pages":"Article 115558"},"PeriodicalIF":16.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510436","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 review of defrosting methods in cold storage","authors":"Haikun Zheng ,&nbsp;Chen Ma ,&nbsp;Dongyu Fu ,&nbsp;Wei Sheng ,&nbsp;Ruirui Wang ,&nbsp;Xiaozhuan Chen ,&nbsp;Mengjie Song ,&nbsp;Chaobin Dang","doi":"10.1016/j.rser.2025.115553","DOIUrl":"10.1016/j.rser.2025.115553","url":null,"abstract":"<div><div>Cold storage has found worldwide applications with the development of the economy and technology. Frost deposition and accumulation on the surface of evaporators in cold storage are inevitable and can harm the refrigerating system, necessitating prompt elimination. To improve defrosting efficiency and the accuracy of predicting and controlling the defrosting cycle, the related mass and heat transport within frost, as well as the melted frost on the fin/pipe, must be clearly understood. This paper reviews the frost mechanism and characteristics in cold storage, defrosting methods, and control strategies reported over the past twenty years. The aim is to provide an overview of recent studies on cold storage defrosting, enabling researchers, manufacturers, designers, and other concerned parties to quickly obtain essential and sufficient information about defrosting methods, thus facilitating the development and completion of ongoing studies. This review identifies gaps in research on defrosting in commercial cold storage conditions and provides recommendations.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"214 ","pages":"Article 115553"},"PeriodicalIF":16.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510435","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":"Impacts of microplastics in municipal sludge pyrolysis-gasification: Melt-induced microaggregation and increased deposition risk","authors":"Ming-Yan Ma,&nbsp;Dong-Hai Xu,&nbsp;Yang Guo,&nbsp;Shu-Zhong Wang,&nbsp;Ya-Ling He","doi":"10.1016/j.rser.2025.115542","DOIUrl":"10.1016/j.rser.2025.115542","url":null,"abstract":"<div><div>The escalating contamination of microplastics (MPs) is progressively introducing new challenges to the management and reutilization of municipal sludge (MS). Pyrolysis-gasification is an important MS disposal process. However, the influence of MPs on the process above remains understudied now. This work aimed to evaluate the characteristics of MPs residue in carbon resulting from medium-low temperature MS pyrolysis and explored their impacts on the gasification reactivity and deposition tendencies of the pyrolytic carbon. The results showed that microplastic residues in MS pyrolytic carbon were tiny and highly resistant to degradation, thereby significantly increasing their biological risks. Base on the analyses on morphological characterization, compound composition, volatile matter release, and carbonaceous structure, residual MPs were demonstrated to form porous \"C-organic matter-C″ microaggregates in carbon, and corresponding melt-induced formation mechanisms were clarified. In gasification reactions, carbon defect structures and reactive matters introduced by MPs enhanced the gasification activity at low temperatures. Nevertheless, large aggregated volatile organic components and metals increased slag volume and agglomeration, so resulting in deposition risks. Given the elevated contamination of MPs in pyrolytic carbon, gasification emerges as a reliable strategy for mitigating environmental risks, but may require upgraded technologies (e.g., additive, and new reactor design) to reduce the deposition problem. These findings provide scientific foundation for the management of secondary contamination of microplastics in MS, thereby facilitating an environmentally friendly disposal process.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"214 ","pages":"Article 115542"},"PeriodicalIF":16.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511545","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":"Big data-driven prognostics and health management of lithium-ion batteries:A review","authors":"Kui Chen,&nbsp;Yang Luo,&nbsp;Zhou Long,&nbsp;Yang Li,&nbsp;Guangbo Nie,&nbsp;Kai Liu,&nbsp;Dongli Xin,&nbsp;Guoqiang Gao,&nbsp;Guangning Wu","doi":"10.1016/j.rser.2025.115522","DOIUrl":"10.1016/j.rser.2025.115522","url":null,"abstract":"<div><div>As the preferred green energy storage solution for the transition to renewable and sustainable energy sources, the prognostics and health management (PHM) of lithium-ion batteries play a crucial role in enhancing energy utilization efficiency, optimizing battery maintenance, and accurately detecting health degradation while predicting remaining useful life (RUL). With the rapid advancement of artificial intelligence(AI) and big data technologies, data-driven approaches have gained widespread adoption in the field of battery PHM due to their high accuracy, simplicity, and efficiency. This review provides a comprehensive analysis of the fundamental steps involved in data-driven battery PHM systems, including an in-depth examination of key aspects such as data acquisition, feature parameter construction, and diagnostic methods. The review further highlights prominent research trends rooted in data-driven approaches. Moreover, this study aims to propose novel methodologies and insights that describe the system behaviors of battery aging at both physical and mathematical scales. Ultimately, this work introduces new perspectives and techniques for battery PHM, expanding its applicability and offering valuable guidance for the on-board implementation of PHM systems.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"214 ","pages":"Article 115522"},"PeriodicalIF":16.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510434","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":"AC/DC hybrid electrical power distribution network planning approach with network topology-variables considering harmonic interaction influence in port","authors":"Xinhao Bian ,&nbsp;Chengqing Yuan ,&nbsp;Jinrui Tang ,&nbsp;Yupeng Yuan","doi":"10.1016/j.rser.2025.115483","DOIUrl":"10.1016/j.rser.2025.115483","url":null,"abstract":"<div><div>Renewable distribution generators (RDGs) and battery energy storage systems (BESSs) are promising solutions for AC/DC hybrid electrical power distribution network (EPDN) in the modern ports. The objective function of existing planning approaches focuses on the impact of primary harmonics generated by the remote RDGs. However, the harmonic interaction (HI) influence generated by the centrally arranged RDGs and BESSs of the port has not been evaluated. This study proposes a novel port AC/DC hybrid EPDN topology variables-based planning approach, including multiple RDGs and BESSs, to minimise the sum of the system investment cost (SIC) and financial losses associated with the HI influence coefficient (HIIC). The network topology variables were first defined as the AC/DC bus and its connected AC/DC transmission lines. Next, related to these variables, explicit formulas for the SIC and financial losses caused by the HIIC of harmonic currents were established. Moreover, the battery operating and the bus power balance constraints were determined. Additionally, by linearising the fractional items and employing a branch-and-cut algorithm, an optimal planning scheme was attained for the mixed integer nonlinear programming (MINLP) problem, which comprised the abovementioned explicit formulas and constraints. Finally, the port's EPDN planning scheme was simulated, which contained the six selectable AC/DC buses and ten AC/DC transmission lines. The simulation results demonstrated that the proposed approach could legitimately plan the EPDN topology of a port. Additionally, a scalability analysis was performed with planning for 14-bus and 21-bus nodes, demonstrating the ability of the model to handle larger EPDN. Besides, sensitivity analyses of various DC load ratios and RDG expansion plans were conducted. The simulation results revealed that when the ratio of the DC load exceeded 50 %, the financial losses caused by the HIIC of the harmonic current significantly affected the sum of the costs. Furthermore, an optimal RDG expansion plan with minimum SIC and financial losses was obtained. This study provides EPDN planners with a relative balance of variable port operating scenarios, HI influences, and risky investment costs.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"214 ","pages":"Article 115483"},"PeriodicalIF":16.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510467","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 integrating behavioral drivers of technology adoption and energy service use in energy system models","authors":"H.S. Galster ,&nbsp;A.J. Van der Wal ,&nbsp;A.E. Batenburg ,&nbsp;V. Koning ,&nbsp;A.P.C. Faaij","doi":"10.1016/j.rser.2025.115520","DOIUrl":"10.1016/j.rser.2025.115520","url":null,"abstract":"<div><div>Energy System Models (ESMs) that aim at describing and exploring pathways towards a decarbonized future energy system currently account insufficiently for the behavior of households and individuals. To address this shortcoming, this study evaluates models' existing approaches to incorporate behavior considering social science insights to advance the models' behavioral realism. A structured literature review and expert interviews were employed, selecting sixteen ESMs and two sectoral energy models for further investigation. Main data sources for the analysis were model descriptions and interview notes. The results show a predominant focus of models on financial aspects of adoption decisions and energy service use, while there is less consideration of non-economic behavioral drivers. Models also often rely on a weak empirical foundation for behavioral drivers. Based on these findings, advancing the representation of behavior in ESMs is needed to strengthen the realism of models’ explorative and descriptive insights. This analysis outlines concrete strategies to guide such an endeavor. It is recommended to consider relevant drivers of energy-related behavior, to employ a data-driven approach which relates behavioral outcomes to these drivers, and to define actor heterogeneity according to meaningful behavioral differences. In comparison to optimization approaches, the flexibility of simulation modelling provides a wider range of options for incorporating and analyzing behavioral aspects in ESMs. Future interdisciplinary research should further align social science insights with energy system modelling, building on the suggested strategies, to improve the accuracy of model predictions and to facilitate the consideration of behavioral aspects in the energy transition.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"214 ","pages":"Article 115520"},"PeriodicalIF":16.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental assessment of xylitol production routes for thermal energy storage applications: A critical review","authors":"Humberto Santos,&nbsp;Silvia Guillen-Lambea","doi":"10.1016/j.rser.2025.115532","DOIUrl":"10.1016/j.rser.2025.115532","url":null,"abstract":"<div><div>Studies show xylitol as a promising material for thermal energy storage applications. This work aims to critically review, collect, and produce useful data about the life cycle impacts of xylitol's production. One of the practical implications of this work is that it allows the identification of inputs that require attention in decision-making according to various environmental impact indicators. The methodology included a review of the production pathways and market, a systematic review, and a life cycle assessment comparing the production routes. The systematic review showed great variability in the global warming potential regardless of the production pathway, biotechnological or chemical, associated with life cycle assessment assumptions, making a fair comparison between both production processes unfeasible. Thus, a life cycle assessment was conducted with the same assumptions for farming, transportation, and manufacturing stages, finalizing with a local sensitivity analysis to identify the critical inputs. Manufacturing in the chemical process contributes to more than 75 % of the environmental impacts compared to farming and transportation, except for water consumption potential (m³). A breakdown of the manufacturing flows shows that energy usage for the biotechnological process, and energy plus nickel catalyst for the chemical process are the key contributors, confirmed by the local sensitivity analysis. Overall, the biotechnological process showed a global warming potential of 2.2 kg CO₂ eq per kg of xylitol. In comparison, the chemical process had a value of 8.8 kg CO₂ eq per kg of xylitol, and the same behavior is observed on most of the impact category indicators.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"214 ","pages":"Article 115532"},"PeriodicalIF":16.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487035","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":"Dual-gate Temporal Fusion Transformer for estimating large-scale land surface solar irradiation","authors":"Xuan Liao ,&nbsp;Man Sing Wong ,&nbsp;Rui Zhu","doi":"10.1016/j.rser.2025.115510","DOIUrl":"10.1016/j.rser.2025.115510","url":null,"abstract":"<div><div>An accurate estimation of land surface solar irradiation (LSSI) is crucial to address the solar intermittency for optimizing solar photovoltaic (PV) installation and mitigrating PV curtailment. This involves enhancing solar photovoltaic (PV) system efficiency by optimizing layout and maximizing solar energy capture and conversion. While deep learning methods have significantly improved the rapid and accurate estimation of solar irradiation, they face challenges in handling geographical heterogeneity and providing interpretable results. To address these challenges, this study proposes the Dual-gate Temporal Fusion Transformer (DGTFT), a novel interpretable deep learning network, to improve LSSI estimation. By integrating the Temporal Fusion Transformer with the Dual-gate Gated Residual Network and Dual-gate Multi-head Cross Attention, the optimal network achieved <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span>=0.93, MAE=0.022 (<span><math><mrow><mi>k</mi><mi>W</mi><mi>h</mi><mo>/</mo><msup><mrow><mi>m</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></math></span>), RMSE=0.038 (<span><math><mrow><mi>k</mi><mi>W</mi><mi>h</mi><mo>/</mo><msup><mrow><mi>m</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></math></span>), rRMSE=0.13, and nRMSE=0.048 through ablation experiments. When applied to datasets observed from Australia, China, and Japan, DGTFT outperformed traditional machine learning methods with a minimum <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> increase of 23.88%, MAE decrease of 43.18%, RMSE decrease of 9.09%, rRMSE decrease of 32.25%, and nRMSE decrease of 62.79%. Furthermore, the interpretability results of the DGTFT model indicate that clear-sky solar irradiation significantly contributed to the model’s performance from Australia and Japan; and the maximum temperature and humidity were the largest importance variables in the Chinese dataset. Accurately estimating LSSI, providing interpretable results, and generating continuous solar irradiation maps for large-scale areas, this study aids in quantifying solar potential and offers scientific guidance for the PV industry’s development.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"214 ","pages":"Article 115510"},"PeriodicalIF":16.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487033","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":"Assessing the electricity potential from agricultural residues in Western Macedonia, Greece","authors":"Athanasios Lampropoulos ,&nbsp;Georgios Varvoutis ,&nbsp;Costas Athanasiou ,&nbsp;George E. Marnellos","doi":"10.1016/j.rser.2025.115530","DOIUrl":"10.1016/j.rser.2025.115530","url":null,"abstract":"<div><div>Western Macedonia (WM) remains the major lignite-based electricity-producing region in Greece, with zero bioenergy contribution to the national energy mix. Even though significant amounts of agricultural residues are available in the region, this work originally reports on the quantification of the theoretical and technically available residue potential derived from the major locally available crops. In addition, by employing System Advisor Model software, electricity output and levelized cost of energy from combustion of the total amount of a single biomass residue were estimated. Specifically, a total of 551,400 t/year of crop residues are theoretically available, of which 276,201 t/year could be technically considered for energy purposes. Depending on the crop type, 18.4–793.9 GWh_th/yr are theoretically available. Also, 3.2–70.5 GWh_el/yr could be generated in the region, with an LCOE varying between 134.2 and 188.0 €/MWh_el. Also, a sensitivity analysis for apple prunings and maize straw residues revealed the significant impact of both CAPEX/OPEX and consideration of feedstock pre-drying on the electricity cost. Lastly, profitability scenarios of a de-centralized 500-kW_el unit compared to a larger-scale power plant utilizing apple prunings in WM were assessed by considering potential CAPEX subsidies and reduced biomass logistic costs. In all, the present work could serve as a general guideline for preliminary technical and economic comparison between potential scenarios of electricity generation from several biomass residues.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"214 ","pages":"Article 115530"},"PeriodicalIF":16.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MXenes-based materials for CO2 capture and conversion: A comprehensive review","authors":"Umer Aizaz ,&nbsp;Intisar Ul Hassan ,&nbsp;Sagheer A. Onaizi","doi":"10.1016/j.rser.2025.115524","DOIUrl":"10.1016/j.rser.2025.115524","url":null,"abstract":"<div><div>CO₂ concentration in the atmosphere is rapidly increasing, causing serious environmental problems and threatening the sustainability of life on Earth. To combat CO₂ emissions, several materials have been developed and applied in some studies. One class of emerging nanomaterials with a potential efficacy for CO₂ capture and conversion is MXenes. However, comprehensive and up-to-date reviews, as the one devised herein, on the utilization of MXenes for CO₂ capture and conversion are still greatly lacking in the published research. Accordingly, this work is devoted to reviewing the recent developments in MXenes applications for CO₂ capture and conversion into valuable chemicals and fuels. To provide the reader with a comprehensive knowledge on the topic, MXenes synthesis, characterization, and structural modifications aiming to boost charge separation and visible light absorption and, thus, photocatalytic performance has been presented before delving into CO₂ capture and conversion contents. Then, recent studies on CO₂ capture, including Direct Air Capture, using MXene-based materials as adsorbents have been reviewed. Additionally, CO₂ separation from gas mixtures using membranes (including mixed matrix membranes) fabricated from MXene-based materials has been thoroughly presented and discussed. More importantly, recent studies on the application of MXene-based materials for the photocatalytic and electrocatalytic conversion of CO₂ into valuable chemicals and fuels have been extensively discussed; the involved mechanisms in these conversion processes have been detailed. This review concludes by highlighting the challenges, limitations, and obstacles still facing the deployment of MXenes-based materials for CO₂ capture and conversion while suggesting future research directions to address them.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"214 ","pages":"Article 115524"},"PeriodicalIF":16.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487034","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}