Renewable and Sustainable Energy Reviews最新文献

{"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":"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}

{"title":"Women's empowerment in driving the energy transition for sustainable development in developing nations","authors":"Kanchan Kumar Sen ,&nbsp;Shamal Chandra Karmaker ,&nbsp;Andrew J. Chapman ,&nbsp;Bidyut Baran Saha","doi":"10.1016/j.rser.2025.115647","DOIUrl":"10.1016/j.rser.2025.115647","url":null,"abstract":"<div><div>This study investigates the impact of women's empowerment on the energy transition for sustainable development in developing nations, addressing gaps in prior research that often overlooked or lacked conclusive evidence on this relationship. While previous studies have suggested that gender equality may influence energy outcomes, they have typically either failed to quantify the impact of multidimensional women's empowerment on energy transition outcomes or ignored non-linear dynamics. This research fills this gap by combining robust econometric techniques with machine learning methods to provide a more nuanced and reliable analysis. Using data from 71 developing nations over 2001–2021, the study employs two-stage least squares, SYS-GMM, and counterfactual analysis, alongside random forest machine learning techniques. The use of random forest, which identifies non-linear relationships, offers deeper insights into how women's empowerment impacts energy access, efficiency, and sustainability, which traditional econometric methods may overlook. The results show that women's empowerment significantly drives energy transition outcomes, with a 9.03 % improvement in electricity access, a 2.0 % increase in clean cooking fuel usage, a 20.8 % rise in renewable electricity share, and a 2.9 % improvement in energy efficiency. These metrics highlight the diverse impacts of women's empowerment and their importance for policymakers aiming to meet sustainable energy goals. Notably, the effects are stronger in least developed countries, where electricity access improves by 17.2 %. This study identifies income inequality reduction as a key mediating factor amplifying these energy outcomes, emphasizing the need to integrate gender equality into energy policy frameworks for achieving inclusive and sustainable energy transitions.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"216 ","pages":"Article 115647"},"PeriodicalIF":16.3,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687639","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":"Upcycling anaerobic digestion streams into feed-grade protein for increased environmental sustainability","authors":"Hadis Marami ,&nbsp;Sahar Khademi ,&nbsp;Shahin Rafiee ,&nbsp;Hossein Mobli ,&nbsp;Morten Birkved ,&nbsp;He Li ,&nbsp;Irini Angelidaki ,&nbsp;Benyamin Khoshnevisan","doi":"10.1016/j.rser.2025.115638","DOIUrl":"10.1016/j.rser.2025.115638","url":null,"abstract":"<div><div>Biogas plants have long been recognized as well-established systems for converting waste into energy and organic fertilizers. However, biogas plants are expected to go beyond their primary functions to enhance the sustainability gains from the circular bioeconomy. Carbon (CO₂ and CH₄) and nitrogen streams from anaerobic digestion (AD) facilities can be converted into higher-value products, such as microbial proteins (MPs). While two dominant pathways are known for MP production from AD streams, namely methane-oxidizing bacteria (MOB) and hydrogen-oxidizing bacteria (HOB), there is a lack of comprehensive research comparing these two pathways from an environmental sustainability viewpoint. Furthermore, the extent to which the environmental sustainability of MP production platforms depends on feedstock characteristics is yet to be scrutinized. To address the above-mentioned research questions, four biogas plants treating different types of biowaste were selected as case studies. Specifically, the effects of the C/N ratio in the input streams, biogas upgrading technologies (water scrubbing and biological biogas upgrading), and microbial platforms (HOB and MOB) were investigated. Environmental impacts were assessed using consequential life cycle assessment (CLCA), with Denmark as the spatial boundary and 2030 as the temporal boundary. Across all scenarios, the MOB pathway demonstrated superior environmental performance compared with the other pathways. Furthermore, the composition of the feedstock and quantity of biogas play key roles in the total environmental gains. Finally, the sources of uncertainty and opportunities for future improvements are identified to pave the way for land-independent feed-grade protein production using locally available biowastes.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"216 ","pages":"Article 115638"},"PeriodicalIF":16.3,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687655","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":"Economic feasibility of low-carbon ethylene, propylene and jet fuel production","authors":"S. Kim ,&nbsp;P.E. Dodds ,&nbsp;I. Butnar","doi":"10.1016/j.rser.2025.115648","DOIUrl":"10.1016/j.rser.2025.115648","url":null,"abstract":"<div><div>Jet fuel and key chemical building blocks (e.g. ethylene) cannot easily be substituted with zero-carbon alternatives and remain interconnected in a low-carbon future. Fischer-Tropsch and methanol synthesis offer pathways toward large-scale production of low-carbon synthetic hydrocarbons. This paper estimates the future costs of low-carbon ethylene, propylene, and jet fuel via those routes with feedstocks of either biomass or electricity with captured CO₂. It finds while biobased hydrocarbons could fall below 1.1 USD/kg, electricity-based hydrocarbons using atmospheric CO₂, even with the optimistic views, result in 4 USD/kg for ethylene, 2.3 USD/kg for propylene and 2.9 USD/kg for jet fuel. Using industry-captured CO₂ as the carbon source could cut production costs by 28 %, but its future availability is likely to be limited. Offsetting existing hydrocarbon industries through direct air carbon capture and storage is projected to be more economical compared to electricity-based hydrocarbons. This research highlights the necessity for transitioning to a net zero power system to reduce electricity prices. As these technologies each produce multiple products and their business cases depend on sales of all products, a coherent cross-sectoral strategy to incentivise low-carbon fuels and chemicals would be valuable to ensure that the overall production reflects demand throughout a low-carbon transition.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"216 ","pages":"Article 115648"},"PeriodicalIF":16.3,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697164","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":"Shining a light on Solar Chemicals and Fuels: Findings from a SWOT-led (Strengths, Weaknesses, Opportunities, and Threats) literature review and workshop","authors":"Júlia T. M. Machado","doi":"10.1016/j.rser.2025.115607","DOIUrl":"10.1016/j.rser.2025.115607","url":null,"abstract":"<div><div>Solar chemicals and fuels (SCF) show enormous potential and can offer solutions to renewable energy intermittency and storage while reducing industrial CO₂ emissions. Yet many challenges remain. SCF advocates face formidable obstacles, which include coordination across the different technological pathways and information dissemination, prohibitive costs, raw materials scarcity, or lengthy development timelines. Our study, then, offers a deeper and more critical understanding of these challenges through a systematic review that discusses the key Strengths, Weaknesses, Opportunities, and Threats threatening or supporting the development of a SCF market. NVivo software was employed to produce this comprehensive SWOT analysis, which was further complemented with a workshop that validated the data and offers a valuable resource for future strategic planning. Results indicate that while technological immaturity remains a major obstacle, a primary strength lies in SCF technologies' suitability for decentralized deployment and specialized applications. Insights from the literature and our workshop participants highlight SCF's potential for energy integration, alongside the critical need for targeted regulation, education, and training within a cohesive policy framework. Our conclusions also emphasize the value of SWOT analysis and workshops in generating insights to help stakeholders address research gaps, foster collaboration, and secure funding to drive future developments.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"216 ","pages":"Article 115607"},"PeriodicalIF":16.3,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697179","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}