Renewable and Sustainable Energy Reviews最新文献

{"title":"Improving power performance of sediment microbial fuel cell through Water lettuce (Pistia stratiotes) assisted boosting of cathodic activity","authors":"Arup Dutta ,&nbsp;Lepakshi Barbora ,&nbsp;Devard Stom ,&nbsp;Pranab Goswami","doi":"10.1016/j.rser.2025.115565","DOIUrl":"10.1016/j.rser.2025.115565","url":null,"abstract":"<div><div>Sediment microbial fuel cells (SMFCs) are emerging as a promising green energy technology with enormous application potential for wastewater treatment and linked electrical energy production. However, the practical application of these devices is challenged by their low-performance factors pertaining to the imbalanced electrolyte and oxygen levels and weak cathodic functions in open environment conditions. This study explored to address the poor performance of the SMFC by coupling it with a free-floating aquatic plant, Water lettuce. Growth of the plant balanced the catholyte pH in the range of 7.2–7.6, increased the ionic conductivity by 60 %, stabilized the sub-surface water oxygen level, and boosted the cathodic potential by ∼102 mV and ∼49 mV in open and close circuit operations mode, respectively. The cumulative effect of these inputs led to producing a power density of 22.45 mW/m² and a current density of 136.84 mA/m² at 2 kΩ and 50 Ω loads, respectively. The enhanced cathodic performance was also attributed to the colonization of Water lettuce root bacteria as biofilm on the cathode that supported catalytic oxygen reduction on the graphite electrode. Metagenonic analysis indicated the biofilm is created mostly by aerobic microbes such as <em>Ferrovibrio terrae, Comamonas aquatic, Achromobacter xylosoxidans, Hydrogenophaga taeniospiralis</em> etc. bearing catalase enzyme, <em>Pannonibacter phragmitetus, Streptococcus pyogenes</em>, <em>Streptococcus mutans</em> etc. bearing heme enzyme and these microbes synergistically catalysed cathodic reduction reactions. This study demonstrated the positive role of Water lettuce in boosting the power performance of SMFC mainly by activating the cathodic functions of the setup.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"215 ","pages":"Article 115565"},"PeriodicalIF":16.3,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562869","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":"State incentives: Impact on wind energy costs and policy development","authors":"Robert Godby ,&nbsp;Benjamin Cook ,&nbsp;Morgan Holland ,&nbsp;Tyler Kjorstad","doi":"10.1016/j.rser.2025.115572","DOIUrl":"10.1016/j.rser.2025.115572","url":null,"abstract":"<div><div>Wind energy presents significant opportunities for states to foster economic growth, generate tax revenue and aid the transition from fossil fuels. Policymakers considering new incentives to attract wind energy projects are challenged by a lack of modern information on the relative cost of wind development and how it is impacted by such policies. Previous research regarding the impact of incentives is limited, dated and often contradictory. This study addresses this information gap by developing a detailed cost model to evaluate wind development costs across the western United States. Despite nearly equivalent wind resources, results indicate New Mexico has costs between 11.7 and 15.9 percent lower than Montana, Colorado and Wyoming, the next lowest-cost states. This advantage occurs due to a unique bonding incentive and despite a tax burden higher than all but Wyoming's. Cost patterns are consistent with observed development patterns over the past decade, suggesting understanding state incentive impacts on relative development costs can aid design of more effective programs to attract development. Findings also suggest understanding the cost structure of wind developments is crucial to resolving contradictions in previous econometric studies. Examples are presented to demonstrate how cost models can serve as testbeds to identify more attractive development policies while avoiding reduced state revenues, and how lesser used programs like bonding can significantly reduce development costs to attract greater wind energy development. The methodology presented can be adapted to other regions, providing a tool for policymakers to increase renewable energy development and aid in achieving sustainable development goals.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"215 ","pages":"Article 115572"},"PeriodicalIF":16.3,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562870","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":"Steering towards carbon neutral transportation practices: A comprehensive analysis of the challenges confronting the shipping industry in Sri Lanka","authors":"Irfan Nizar ,&nbsp;Sudath Manjula Amarasena ,&nbsp;P. Priyantha Lalanie","doi":"10.1016/j.rser.2025.115576","DOIUrl":"10.1016/j.rser.2025.115576","url":null,"abstract":"<div><div>The shipping industry remains a vital cog in the global trade but contributes approximately 3 % of global greenhouse gas (GHG) emissions, making it a key target for decarbonization. This study examines the challenges and opportunities in transitioning Sri Lanka's shipping sector toward carbon-neutral practices, leveraging its position as a strategic maritime hub in South Asia. Using a mixed-methods approach, the research explores the feasibility of alternative fuels such as H₂, nuclear energy, NH₃, CH₃OH, liquid Natural Gas (LNG), and biofuels, alongside renewable energy integration and emission monitoring systems in port operations. Findings highlight significant barriers, including technological limitations, policy gaps, financial constraints, and insufficient stakeholder collaboration. Despite these challenges, the study proposes actionable solutions, including policy reforms, investments in low-emission technologies, and enhanced international partnerships. A 15-year roadmap aligns Sri Lanka's maritime operations with global climate goals, offering practical strategies like financial incentives and regulatory alignment. The study supports United Nations Sustainable Development Goals (SDGs) such as SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation, and Infrastructure), SDG 13 (Climate Action), SDG 14 (Life Below Water), and SDG 17 (Partnerships for the Goals). These findings provide a valuable blueprint for policymakers, industry stakeholders, and researchers, paving the way for sustainable transformation in Sri Lanka's maritime sector and offering insights applicable to other developing nations.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"215 ","pages":"Article 115576"},"PeriodicalIF":16.3,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562891","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":"The economics of flexibility service contracting in local energy markets: A review","authors":"Colin Nolden ,&nbsp;Nicholas Banks ,&nbsp;Jack Irwin ,&nbsp;David Wallom ,&nbsp;Bryony Parrish","doi":"10.1016/j.rser.2025.115549","DOIUrl":"10.1016/j.rser.2025.115549","url":null,"abstract":"<div><div>Electricity networks require reinforcing to accommodate increasing penetration of renewables and increasing electrification of heating and mobility. The nature of these reinforcements depends on the scale and depth of demand reductions and flexibility services available to solve constraints. Local energy markets are posited as a means to capture, aggregate, and trade flexibility services in network-constrained areas. Using insights from transaction cost economics, this review adapts a theoretical model to analyse the contractual arrangements underpinning both local energy markets and the delivery of flexibility services therein, and the end-to-end process of flexibility service delivery. By facilitating the identification, analysis, and comparison of the relative magnitude of associated transaction and production cost variables, it helps identify factors which determine their viability. This model is tested on Great Britain's Local Energy Oxfordshire project (Project LEO) which sought to establish the potential for flexibility service provision to support the transition to a renewables-based electricity system by developing a proof-of-concept local energy market. It reveals transaction costs which significantly outweigh contract revenues at this stage of market development. Standardisation and regulation lower transaction costs in the establishment of local energy markets, while automation and aggregation lower transaction costs and increase contract revenues of flexibility service delivery. Support needs to be appropriately targeted to lower these costs vis-à-vis network reinforcements, and the overall costs of transitioning to net zero.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"215 ","pages":"Article 115549"},"PeriodicalIF":16.3,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551803","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":"A failure knowledge graph learning framework for offshore wind turbines with incomplete knowledge","authors":"Yi Ding ,&nbsp;Feng Zhu ,&nbsp;He Li ,&nbsp;Ajith Kumar Parlikad ,&nbsp;Min Xie","doi":"10.1016/j.rser.2025.115561","DOIUrl":"10.1016/j.rser.2025.115561","url":null,"abstract":"<div><div>This study presents a novel framework for Failure Knowledge Graph (FKG) construction tailored for the safe operation and maintenance of offshore wind turbines. Specifically, Bidirectional Encoder Representations from Transformers (BERT) and Conditional Random Field (CRF) are combined for failure extraction, enhanced by iterative learning for failure data transfer from onshore to offshore wind turbines. Additionally, this framework incorporates a rule-based pseudo-label module and an innovative replacement-based pseudo-sample module to mitigate the impact of label errors and failure data imbalance during the iterative learning process. With the failure events extracted, the affiliate components and corresponding failure modes are identified to construct a tree-structured FKG automatically for offshore wind turbines. The feasibility and effectiveness of the proposed framework are validated by the presentation of an FKG regarding 313 offshore wind turbines recorded in the LGS-offshore dataset. Overall, the study provides the offshore wind sector with an intelligent framework for failure data analysis, presentation, and understanding and contributes to the safe operation of offshore wind turbines and wind farms.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"215 ","pages":"Article 115561"},"PeriodicalIF":16.3,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551805","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":"Strategic site selection methodology for small modular reactors: A case study in Türkiye","authors":"Ertugrul Ayyildiz ,&nbsp;Betul Yildirim ,&nbsp;Melike Erdogan ,&nbsp;Nezir Aydin","doi":"10.1016/j.rser.2025.115545","DOIUrl":"10.1016/j.rser.2025.115545","url":null,"abstract":"<div><div>Selecting the optimal site for Small Modular Reactors (SMRs) ensures operational efficiency and safety and aligns with growing energy demands and environmental goals. Given the unique challenges of climate change and the need for sustainable energy solutions, this study's innovative approach provides critical insights for making informed decisions that balance economic, environmental, and social factors. This study introduces a novel hybrid multi-criteria decision-making (MCDM) approach for selecting optimal sites for SMR in Türkiye. The proposed methodology integrates Picture Fuzzy SWARA (PiF-SWARA) and Picture Fuzzy WASPAS (PiF-WASPAS) techniques to address site selection's complexities by evaluating criteria weights and alternative scores. PiF-SWARA is employed to determine the relative importance of five main criteria and 28 sub-criteria, providing a nuanced understanding of each criterion's impact. Subsequently, PiF-WASPAS ranks the alternative sites based on these weighted criteria. This approach ensures a robust evaluation by accommodating various uncertainties inherent in the decision-making process. The case study applied to Türkiye demonstrates the effectiveness of this method in identifying the most suitable locations for SMRs, highlighting its potential to advance the strategic planning of nuclear energy infrastructure. The study provides valuable insights for policymakers and stakeholders involved in energy planning and development.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"215 ","pages":"Article 115545"},"PeriodicalIF":16.3,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562868","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":"Renewable and integrated energy system resilience – A review and generic resilience index","authors":"Svante W. Monie ,&nbsp;Mattias Gustafsson ,&nbsp;Simon Önnered ,&nbsp;Kasuni Guruvita","doi":"10.1016/j.rser.2025.115554","DOIUrl":"10.1016/j.rser.2025.115554","url":null,"abstract":"<div><div>Energy systems around the world are undergoing structural and contextual changes following a global increase of electricity use, higher sector integration, changing security landscape, and growing share of renewable energy. These developments are changing the dynamics of systems, questioning the resilience of future energy systems. Viewing resilience as a process of preparedness, mitigation, response, and recovery, this study performs a systematic literature review over how different phases are covered in research on resilient energy systems with a focus on the integration of renewable energy. This study also reviews grey literature to assess how Sweden and the EU are attempting to build resilience. Findings show a focus on energy security originating in the western world and few studies within the reviewed papers consider and measures all phases of the resilience process. Most academic papers focus on mitigation and an underrepresentation of studies evaluating recovery capabilities. Comparatively, grey literature shows a preparedness for sudden shocks, and less for more pervasive disturbances. The novelty of the review lies in its identification of discrepancies between the stated analysis of resilience aspects and their quantification in the reviewed papers. The study also presents a novel method of quantifying resilience in an energy system by including all phases of the resilience process. This study contributes to SDG 9.a, by showcasing the lack of representation of the global South and proposing and demonstrating a generic index which supports resilient infrastructure development regardless of geography.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"215 ","pages":"Article 115554"},"PeriodicalIF":16.3,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562890","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":"A global cross-resource assessment of offshore renewable energy","authors":"Spalding James ,&nbsp;White Christopher ,&nbsp;Ross Lauren","doi":"10.1016/j.rser.2025.115563","DOIUrl":"10.1016/j.rser.2025.115563","url":null,"abstract":"<div><div>Current global climate mitigation efforts are considered insufficient to meet international carbon emission targets. Modeled scenarios showing how these targets can be reached are underpinned by further renewable energy development. Offshore renewable energy has been shown to have energy potentials that are more than double the global electricity demand. Previous assessments investigating Offshore renewable energy potentials typically focused on a single resource type and use a wide range of units. However, these assessments have not been compared on a global scale and therefore it is largely unknown which resource types have the largest energy potentials at any given location. This study undertakes a global cross-resource assessment of marine renewable energy potentials, collecting previous marine renewable energy resource assessments in a single database with standardized energy potentials. The assessments collected are compared to the theoretical energy potential of other resource types at each location. Tidal and ocean currents and offshore solar are found to have consistently higher energy potentials than the other resource types. An expanded feasible global energy potential for tidal currents and offshore solar is found. Results show if only 2 % of this potential is harnessed from future turbine development, CO² emissions could be significantly reduced helping meet international emission targets and United Nations Sustainable Development Goals.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"215 ","pages":"Article 115563"},"PeriodicalIF":16.3,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551804","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":"Artificial intelligence techniques framework in the design and optimisation phase of the doubly fed induction generator's power electronic converters: A review of current status and future trends","authors":"Ramesh Kumar Behara,&nbsp;Akshay Kumar Saha","doi":"10.1016/j.rser.2025.115573","DOIUrl":"10.1016/j.rser.2025.115573","url":null,"abstract":"<div><div>The advancement of power supply systems is necessary for experiencing growth, stability, technological progress, reliability, choice of design, and dynamic response. This study investigated the increasing utilisation of artificial intelligence (AI) and machine learning (ML) in renewable energy systems (RES), their diverse applications, and an outlook for the future direction of research in the field. These applications include the wind turbine (WT)-driven doubly fed induction generator (DFIG) arrangements, particularly grid-tied DFIG; power converter design efficiency; and digital twin systems and economics. The use of AI in grid-tied DFIG and its power converter design and optimisation is being fueled by an increasing amount of pertinent RES operational data sets, high-performance computer resources, improved AI tools, and advancements in predicting control. These factors enable an increasing return on investment for system owners and operators. Modern AI technologies are driven by four principal methodologies: expert systems, fuzzy logic systems, metaheuristic systems, and machine and deep learning. The value maximization of WT-driven DFIG systems will soon depend on an AI architecture that will synergize the power converter electronic device, the edge (DFIG system/array controllers), and the cloud (for AI training and ML support). Including ML capabilities in the DFIG array controllers will help enable continuous advancements in power generation optimisation and open up more advanced grid-interactive features. These controllers will gather real-time data for AI inference engines (perhaps based on predictive neural logic) and the device-level inverters and transport the data to the cloud for more sophisticated ML tasks. This review briefly discusses how the growing interest in AI/ML is utilised in power converter design and its optimisation to overcome the grid-tied wind turbine-driven DFIG availability and efficiency issues. It concludes with some of the benefits and challenges to its widespread use.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"215 ","pages":"Article 115573"},"PeriodicalIF":16.3,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551822","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":"Examining energy poverty under high temperatures in China","authors":"Han Shi ,&nbsp;Bo Wang ,&nbsp;Nana Deng ,&nbsp;Shuling Xu ,&nbsp;Zhaohua Wang","doi":"10.1016/j.rser.2025.115575","DOIUrl":"10.1016/j.rser.2025.115575","url":null,"abstract":"<div><div>Identifying and addressing energy poverty under high temperatures is crucial for achieving Sustainable Development Goal 7 (Affordable and clean energy) and Sustainable Development Goal 13 (Climate Action). However, there is little knowledge of the current and future trends of energy poverty under high temperatures in developing countries. The study analyzes the regional and temporal disparities in the incidence of energy poverty under high temperatures by using daily electricity consumption data from 41,059 households in urban, rural and poverty-stricken areas (with the latter being more impoverished rural regions). The study finds that the energy-poverty incidence is 36.65 %, 32.53 % and 27.30 % for poverty-stricken, rural and urban households during early summer, respectively, while these incidences are 34.61 %, 29.45 % and 19.74 % during later summer in China. Although the energy-poverty incidence is reduced compared to the early summer, households experiencing energy poverty in the later summer face a more severe lack of adaptation to high temperatures than those during the early summer. Applying the results to CMIP6 climate change projections suggests that the energy-poverty incidence will increase to 38.37–40.32 %, 34.67–38.03 %% and 28.46–30.91 % during early summer and 39.00–44.81 %, 31.68–35.00 % and 19.74 % during the later for poverty-stricken, rural and urban households in 2041–2080 under SSP-RCP245 and SSP-RCP585. The results can help policymakers identify the energy-poverty households and have implications for countries’ adaptation strategies to climate change.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"215 ","pages":"Article 115575"},"PeriodicalIF":16.3,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551801","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}