Renewable and Sustainable Energy Reviews最新文献

{"title":"Data-driven wind farm flow control and challenges towards field implementation: A review","authors":"Tuhfe Göçmen ,&nbsp;Jaime Liew ,&nbsp;Elie Kadoche ,&nbsp;Nikolay Dimitrov ,&nbsp;Riccardo Riva ,&nbsp;Søren Juhl Andersen ,&nbsp;Alan W.H. Lio ,&nbsp;Julian Quick ,&nbsp;Pierre-Elouan Réthoré ,&nbsp;Katherine Dykes","doi":"10.1016/j.rser.2025.115605","DOIUrl":"10.1016/j.rser.2025.115605","url":null,"abstract":"<div><div>Data-driven wind farm flow control (WFFC) is an innovative approach that leverages the collected data and advanced analytics to enhance the performance of wind turbines within wind farms. Its significance lies in its ability to adapt to changing wind and turbine conditions and improve operations, boosting energy yield, extending turbine/component lifetime, and potentially reducing socio-environmental impact and costs, thus supporting the viability and sustainability of wind energy as a renewable power source. This review explores the dynamic field of data-driven WFFC and its challenges towards practical implementation. Building on top of traditional wind farm modelling and model-based control, it details the virtues and limitations of these methods while introducing the concept of data-informed or data-driven flow models that harness data to augment predictive accuracy and control strategies. The analysis then covers the methodologies for power and load surrogates, elucidating the pivotal role of surrogate modelling in enhancing WFFC, and showcasing its value in decision-making and energy optimisation. Furthermore, the growing field of reinforcement learning (RL) is highlighted, showcasing its adaptive potential to revolutionise wind farm control through learning from past interactions. The investigation concludes by identifying key challenges impeding the practical deployment of data-driven WFFC, including data quality concerns, cybersecurity risks, and limitations of the current algorithms. In summary, this comprehensive review presents the ongoing development of data-driven WFFC, emphasising the synergy between traditional methods, surrogate modelling, RL, and the critical challenges to be addressed for successful integration of these methodologies in real-world wind farm operations.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"216 ","pages":"Article 115605"},"PeriodicalIF":16.3,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143726186","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":"Thermal models for mono/bifacial modules in ground/floating photovoltaic systems: A review","authors":"Amr Osama ,&nbsp;Giuseppe Marco Tina ,&nbsp;Antonio Gagliano","doi":"10.1016/j.rser.2025.115627","DOIUrl":"10.1016/j.rser.2025.115627","url":null,"abstract":"<div><div>Since the world's policy tends to rely on solar energy to meet energy needs, photovoltaics are considered a crucial asset that requires continuous monitoring. Several installation solutions, including different PV technologies, created challenges in providing a reliable evaluation to depend on. Thermal modeling is essential to predict the cell temperature that is utilized in anticipating the system's electrical performance, as in most commercial software. Hence, this work provides an overview of the most used thermal models for installation solutions (free-standing, roof-mounted, floating, etc.) utilizing both mono and bifacial module technology. The provided analysis is focused on evaluating the different responses of the thermal models that can be used for the same configuration and technology. A sensitive comparative analysis of the various thermal models is provided to assess their response to the climatic parameters as an input to the thermal model. The analysis revealed that for monofacial thermal models, Ross models underestimate the cell temperature at any radiation intensity, while the Faiman model using PVsyst coefficients generates the highest overestimated cell temperature among the examined models. It can be seen that the effect of wind speed reduces for a velocity higher than 10 m/s. As for the bifacial PV module, it can be noticed that the Sandia model using Bifacial optimized coefficients is very sensitive to the back surface radiation as it tends to overestimate relative to the Faiman model. Furthermore, floating PV thermal models are significantly affected by the heat transfer coefficient that usually produces a lower cell temperature.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"216 ","pages":"Article 115627"},"PeriodicalIF":16.3,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715500","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":"Methodologies for offshore wind power plant dynamic stability analysis","authors":"Germano Rugendo Mugambi ,&nbsp;Nicolae Darii ,&nbsp;Hesam Khazraj ,&nbsp;Oscar Saborío-Romano ,&nbsp;Alin George Raducu ,&nbsp;Ranjan Sharma ,&nbsp;Nicolaos A. Cutululis","doi":"10.1016/j.rser.2025.115635","DOIUrl":"10.1016/j.rser.2025.115635","url":null,"abstract":"<div><div>The development of larger Offshore wind power plants (OWPPs) is growing exponentially and also evolving in larger multi-vendor setups, ultimately aiming to constitute offshore Energy hubs. At the same time, interactions among wind turbine converters and power systems have been observed, and this critical phenomenon can significantly impact the dynamic stability of the system. While various stability analysis methods have been proposed to analyze the interactions between OWPPs and the power system at the Point-of-connection (PoC), these stability studies rarely consider the complex offshore transmission system behind the PoC. Typically, the overall OWPP is blamed for the instability issues. However, since the plant itself is a complex system, it is important to understand which part of the OWPP behind the PoC is causing the problem or is likely to become unstable under certain conditions. Therefore, this paper provides a detailed overview of the current system screening indexes and dynamic stability analysis methodologies used in OWPP design. It critically evaluates the advantages and limitations of each approach, emphasizing their applicability to various OWPP structures. The analysis indicates that a combination of time domain and frequency domain methods is necessary to better define stability boundaries and enhance accurate dynamic stability analysis of OWPPs.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"216 ","pages":"Article 115635"},"PeriodicalIF":16.3,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143726187","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":"Enhancing sustainable energy harvesting with triboelectric nanogenerators (TENGs): Advanced materials and performance enhancement strategies","authors":"Seyed Mohammad Vahidhosseini ,&nbsp;Saman Rashidi ,&nbsp;Mohammad Hossein Ehsani","doi":"10.1016/j.rser.2025.115663","DOIUrl":"10.1016/j.rser.2025.115663","url":null,"abstract":"<div><div>The growing global energy demand and the pressing need for sustainable power solutions have intensified the search for innovative energy harvesting technologies. Triboelectric nanogenerators (TENGs) have emerged as promising candidates due to their ability to convert mechanical energy into electrical energy efficiently. This paper provides a comprehensive review of advanced materials and performance enhancement strategies for TENGs, emphasizing their critical role in addressing the current energy crisis. This review explores the foundational principles and operational modes of TENGs, including vertical contact-separation, lateral sliding, single-electrode, and freestanding triboelectric-layer modes. The paper highlights TENGs’ unique attributes such as high efficiency at low frequencies, lightweight and flexible design, scalability, cost-effectiveness, and environmental friendliness, making them suitable for various applications. Key sections of this review focus on the advanced materials used in TENGs, including nanostructured surfaces and interfaces, hybrid and composite materials, and eco-friendly and biodegradable materials. Techniques such as nanoimprinting, etching, and nanomaterial coatings are discussed in detail, showcasing their impact on enhancing TENG performance. Furthermore, the review delves into performance enhancement strategies, covering multi-dimensional TENGs, optimization of contact electrification through surface modification, selection of triboelectric pairs, nano and microstructuring, and dynamic tuning mechanisms. By providing a thorough examination of these advanced materials and strategies, this paper underscores their importance in improving TENG efficiency and reliability, paving the way for sustainable energy solutions in the future.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"216 ","pages":"Article 115663"},"PeriodicalIF":16.3,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143726188","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":"Representative energy management strategies for hybrid energy storage systems derived from a meta-review","authors":"Sebastian Günther,&nbsp;Astrid Bensmann,&nbsp;Richard Hanke-Rauschenbach","doi":"10.1016/j.rser.2025.115610","DOIUrl":"10.1016/j.rser.2025.115610","url":null,"abstract":"<div><div>Hybrid energy storage systems integrate diverse storage technologies to enhance system performance, efficiency, and longevity. Despite a plurality of proposed energy management strategies to operate these systems and a significant number of reviews on this topic, the field lacks a systematic, actionable and reusable summary of available energy management strategies.</div><div>Therefore, we conducted a meta-review of available review articles to ascertain a joint base for representative energy management strategies for hybrid energy storage systems. In subsequent reviews of each determined class, we extracted, defined, and detailed core concepts, which were then implemented in Python for demonstration and analysis.</div><div>We identified four representatives: filter-based, deadzone-based, fuzzy-logic-based, and model-predictive-control-based energy management. Each one is discussed with its operational mechanisms and implementable equations and is illustrated through simulations. Notably, we excluded machine-learning-based candidates due to the limited foundation and generalizability in the current literature.</div><div>With the identified representatives, we seek to provide a foundation and framework for further development, including quantitative assessments of energy management performance in various configurations. Also, this work facilitates targeted and effective enhancements in energy management development for each class, accelerating future research and supporting industry stakeholders to develop more efficient renewable energy systems. To allow easy reuse and reproducibility, the source code is available at GitHub.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"216 ","pages":"Article 115610"},"PeriodicalIF":16.3,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143705823","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":"Renewable and Sustainable Energy Reviews - Editorial","authors":"","doi":"10.1016/j.rser.2025.115628","DOIUrl":"10.1016/j.rser.2025.115628","url":null,"abstract":"","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"216 ","pages":"Article 115628"},"PeriodicalIF":16.3,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855848","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 new framework for the technical biogas potential: Concept design, method development, and analytical application in a case study from Germany","authors":"Matthias Steindl ,&nbsp;Thomas J. Venus ,&nbsp;Konrad Koch","doi":"10.1016/j.rser.2025.115645","DOIUrl":"10.1016/j.rser.2025.115645","url":null,"abstract":"<div><div>A flexible framework for estimating the technical and unused biomass potential for biogas production with high spatial resolution has been developed to integrate biomethane into future energy systems. By classifying agricultural biomass into non-competitive biomass (NCB), livestock-competitive biomass (LCB), and food/feed-competitive biomass (FCB), the model accounts for their competing uses in livestock production and food security. Applied to Bavaria, the analysis covers 2,229 municipalities, using data from agricultural enterprises, biomass yields, and biogas production. The results show an unused methane potential of 1.58·10⁹ m³ from agricultural NCB and LCB, potentially covering 12.2 % of Bavaria's natural gas consumption in 2021. A Monte Carlo simulation was performed to account for uncertainty in the underlying data and to perform a sensitivity analysis. The results highlight that agricultural policy decisions, particularly those affecting livestock production, significantly influence the technical biogas potential: Decreases in manure and slurry formation may reduce the potential, but this could be offset by the availability of unused biomass from livestock feed, depending on policy choices. The presented framework may be used for different regions given availability of data, while the results offer valuable insights for policymakers and stakeholders for developing the biogas sector and its integration into a renewable energy system in the studied region.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"216 ","pages":"Article 115645"},"PeriodicalIF":16.3,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715559","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":"Achieving energy efficiency in industrial manufacturing","authors":"Thomas Schmitt ,&nbsp;Sandra Mattsson ,&nbsp;Erik Flores-García ,&nbsp;Lars Hanson","doi":"10.1016/j.rser.2025.115619","DOIUrl":"10.1016/j.rser.2025.115619","url":null,"abstract":"<div><div>This paper explores the use of digital technology stages and knowledge demand types for achieving energy efficiency. Digital technology stages are the steps toward developing an intelligent and networked factory: computerization, connectivity, visibility, transparency, predictive capacity, and adaptability. Knowledge demand types refer to the knowledge and skills needed to implement energy management through technical, process, and leadership knowledge. Empirical data were collected from a critical single case study at an industrial manufacturing company. The study made two significant contributions. Firstly, it identifies fourteen challenges and improvement potentials when working with energy monitoring, evaluation, and optimization, demonstrating the critical role of digital technology stages and knowledge demand types. Secondly, the study presents a conceptual framework indicating how companies could overcome pitfalls and enhance energy efficiency by combining digital technologies and knowledge demands. Future work will include technical implementations and its connection to knowledge management.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"216 ","pages":"Article 115619"},"PeriodicalIF":16.3,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143705822","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":"Health problems near wind turbines: A nationwide epidemiological study based on primary healthcare data","authors":"Christos Baliatsas ,&nbsp;C. Joris Yzermans ,&nbsp;Mariette Hooiveld ,&nbsp;Raymond Kenens ,&nbsp;Peter Spreeuwenberg ,&nbsp;Irene van Kamp ,&nbsp;Michel Dückers","doi":"10.1016/j.rser.2025.115642","DOIUrl":"10.1016/j.rser.2025.115642","url":null,"abstract":"<div><div>Epidemiological research on the association between wind turbines (WTs) and adverse health effects remains limited. This study integrated data from electronic health records from general practitioners with geospatial data on WT locations and noise emissions. Spanning a decade (2012–2021) and a yearly sample of 350,000 to 560,000 individuals living within 5 km of WTs, it investigated a broad range of health symptoms and conditions diagnosed in primary care, as well as medication prescriptions. Multilevel regression analyses generally indicated a lack of consistent and significant associations between distance (0–500, 500–1000 and 1000–2000 m) to WTs and prevalence of health problems, accounting for demographic and socioeconomic factors. While the prevalence of certain symptoms such as tension headache and depressive feelings increased within 500 m from WTs in later years, results were not statistically significant. Higher average noise levels (above 42 dB Lden) were associated with increased painkiller prescriptions in the most recent years. Only a small part of the sample lived within 500 m from WTs and was exposed to higher noise levels – a methodological challenge inherent to this topic. In light of the expanding deployment of WTs, more comprehensive epidemiological studies are necessary, combining objective morbidity data with self-reported symptoms, using the largest feasible samples near WTs. Refining exposure assessment with precise geospatial data at the individual level, incorporating information on sound characteristics such as amplitude modulation, and thoroughly controlling for relevant confounding and moderating variables are critical aspects that need to be considered in future research endeavors.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"216 ","pages":"Article 115642"},"PeriodicalIF":16.3,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697178","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":"Comprehensive performance assessment of two grid-tied photovoltaic systems in a hot arid climate: A three-year theoretical and experimental analysis","authors":"Layachi Zaghba ,&nbsp;Messaouda Khennane Benbitour ,&nbsp;Amor Fezzani ,&nbsp;Saad Mekhilef ,&nbsp;Abdelhalim Borni","doi":"10.1016/j.rser.2025.115643","DOIUrl":"10.1016/j.rser.2025.115643","url":null,"abstract":"<div><div>This study presents the outcomes of a comparative performance evaluation of two PV systems connected to the grid with different technologies and mounting configurations following three years of operation in a hot and arid environment. The two systems were placed at the Applied Research Unit for Renewable Energy in Ghardaia, located in the central Sahara of Algeria. The first system consisted of a fixed a-Si/μc-Si PV system mounted on the rooftop car park. While the second system featured a pc-Si PV system mounted on a dual-axis sun tracker. The two PV station monitoring was conducted from January 2018 to December 2020. PV station performance variables such as final yield, reference yield, array yield, system losses, array capture losses, cell temperature losses, PV module efficiency, system efficiency, inverter efficiency, performance ratio, and capacity factor were all assessed. These factors were assessed on a monthly average daily. yearly. and seasonal basis. The simulation outcomes derived from Matlab Simulink. PVSyst, and PVGIS application are compared with the practical results of the two identical grid-tied PV systems employing different sun-tracking mechanisms and solar cell technologies. The findings of this study reveal a close alignment between the experimental data derived from the PV plant output and the predicted data generated by the PVSyst and PVGIS tools. In the years 2018, 2019, and 2020, the final annual yields for the fixed a-Si/μc-Si PV system and the dual-axis p-Si system were determined as follows: 3.86 kWh/kWp/6.68 kWh/kWp. 3.82 kWh/kWp/6.92 kWh/kWp. and 3.77 kWh/kWp/6.88 kWh/kWp. respectively. The annual performance ratios for the a-Si/μc-Si and 2-axis p-Si systems were observed to be 80.9 %–72.84 %. 79.96 %–75.35 %. and 79.22 %–74.9 % for the rooftop car park station and the twin-axis sun tracker PV plant during 2018. 2019, and 2020. respectively. Additionally, an economic analysis revealed that the payback period ranged from approximately 9 to 17 years.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"216 ","pages":"Article 115643"},"PeriodicalIF":16.3,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697165","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}