Renewable Energy Focus最新文献

{"title":"A spatial-techno-economic assessment modeling framework for optimal planning of rooftop photovoltaic systems in urban areas: the case of New Assiut City, Egypt","authors":"Mohammed Hussien Yadem Lamien ,&nbsp;Hooman Farzaneh","doi":"10.1016/j.ref.2025.100752","DOIUrl":"10.1016/j.ref.2025.100752","url":null,"abstract":"<div><div>Rooftop photovoltaic (PV) power generation can provide an efficient solution to urban energy needs, benefiting both individual homeowners and the broader community in urban areas. However, identifying suitable rooftop spaces and optimal planning of the rooftop PV systems requires a comprehensive approach. Unlike most previous studies that have concentrated on the technical aspects of rooftop PV systems, this study emphasizes both spatial and techno-economic factors. It explores how the optimal placement of rooftop PV systems can benefit customers and contribute to a more resilient and reliable energy system in newly constructed buildings. To this aim, this study presents a detailed methodology for determining the optimal placement of rooftop PV systems in newly constructed residential areas. By employing a mixed-integer linear programming (MILP) approach, the study aims to maximize the Net Present Value (NPV) of rooftop PV owners through strategically allocating solar PV panels in conjunction with designated central service areas, while adhering to spatial, technical, and economic constraints. The developed model is validated using site-specific data from a residential area, including 12 identical residential buildings in New West Assuit City, Egypt, a newly constructed but currently unoccupied district with significant solar energy potential. The results reveal that, with a latitude-based tilt angle of 27°, each building can support between 9 and 15 PV modules. In a scenario with 15% occupancy, up to 72% of the generated electricity can be sold back to the grid, resulting in the highest NPV. Conversely, a scenario with 100% occupancy leads to the lowest NPV due to the limited surplus energy available for export. Finally, a detailed sensitivity analysis is carried out to assess the impact of the tilt angle of PV panels and feed-in tariff (FiT) on NPV outcomes.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"56 ","pages":"Article 100752"},"PeriodicalIF":5.9,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145106329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How do environmental values and attributes influence coastal community acceptance of tidal energy? Evidence from the Bristol Channel, UK","authors":"Andrew Edwards-Jones ,&nbsp;Caroline Hattam ,&nbsp;Tara Hooper ,&nbsp;Nicola J. Beaumont","doi":"10.1016/j.ref.2025.100748","DOIUrl":"10.1016/j.ref.2025.100748","url":null,"abstract":"<div><div>Early consideration of potential societal issues, including public acceptance, is important for the effective implementation of energy policies and technologies. Conversely, lack of public acceptance can act as a barrier to their uptake, and deployment of renewable technologies has frequently been marked by public opposition at the local level. Levels of support for renewable energy are currently high, although expressions of public support do not always translate into approval for local developments, and there is significant variability in acceptance depending on a wide range of attributes. This paper provides novel insights into potential contributing factors to public acceptance of tidal energy amongst residents of coastal communities along a major inlet in the UK with high potential for tidal energy development. Adopting a largely qualitative empirical approach, nineteen participants from three coastal towns took part in photo-elicitation interviews that utilised self-taken photographs to drive discussions around local environmental (marine and coastal) attributes of importance and how these might influence participants’ attitudes toward tidal energy. Selected data from a previous related energy survey provided a mixed-methods lens to reinforce specific issues raised by participants. Key findings on participants’ perceptions of tidal energy included overall general positivity toward this technology, as well as recognition of its significance for sustainable energy. A range of trade-offs between issues of personal importance and the wider significance of tidal energy were also apparent. The perceived impacts of developments on environmental attributes of greatest importance to participants were thematically analysed revealing particular concerns regarding local environmental impacts and impacts on wildlife. Presented as key influencing issues on participant’s perceptions of tidal energy developments, this new qualitative data improves our understanding of the issues that can lead to acceptance or rejection of proposals and are thus of relevance to a range of users, including decision-makers, consultants and developers.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"56 ","pages":"Article 100748"},"PeriodicalIF":5.9,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144997455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Economic viability of large-scale solar PV implementation in the Nordic power market: Case Finland","authors":"Dilshika Heenatigala Kankanamge ,&nbsp;Jaakko Jääskeläinen ,&nbsp;Sami Jouttijärvi ,&nbsp;Sanna Syri","doi":"10.1016/j.ref.2025.100750","DOIUrl":"10.1016/j.ref.2025.100750","url":null,"abstract":"<div><div>This study analyses how the rapid growth of utility-scale solar PV in the Nordic region will impact its economic viability by 2030, using Finland as a case study. The analysis is based on modelling the Nordic electricity market. Solar energy is crucial for the energy transition in the Nordic region; however, high penetration levels pose significant economic challenges. The lack of feed-in tariffs for solar PV, limited energy system flexibility, high shares of nuclear and wind power and ambitious solar expansion plans make Finland a topical case study. Using PLEXOS advanced electricity market simulation tool, this study models the Nordic and Baltic multinational electricity system in detail and its connections to the Central Western European power market. The study includes significant electricity demand changes from rapid increases in electric vehicles, district heating electrification, and hydrogen production. Multiple scenarios representing different solar PV levels across the Nordic regions are analysed by 2030, including one scenario with various shares of vertically mounted, east-west-oriented bifacial solar PV. Results indicate that large-scale solar PV integration in the Nordic region could collapse Finnish electricity prices, specifically in the summer months. This expansion would reduce solar capture rates to 40% by 2030, highlighting the solar cannibalisation in Finland. These findings indicate the potential economic risks of extensive solar PV deployment and the need for market adaptation. Integrating vertical bifacial panels to adjust the PV production profile and optimising the electric vehicle charging are found to be important to improve the economic viability of solar generation.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"56 ","pages":"Article 100750"},"PeriodicalIF":5.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145004952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interdisciplinary optimization of potential analyses for renewable energies by integrating socio-psychological parameters","authors":"Julia Offermann ,&nbsp;Mona Frank ,&nbsp;Barbara S. Zaunbrecher ,&nbsp;Thorsten Reichartz ,&nbsp;Jannik Wendorff ,&nbsp;Lucas Blickwedel ,&nbsp;Laura Wendorff ,&nbsp;Christa Reicher ,&nbsp;Ralf Schelenz ,&nbsp;Martina Ziefle","doi":"10.1016/j.ref.2025.100747","DOIUrl":"10.1016/j.ref.2025.100747","url":null,"abstract":"<div><div>In view of climate change and recent political developments, the energy system transformation in Germany continues to gain in importance. Although the expansion of renewable energies is a national goal, implementation takes place at the local level in close interaction with society. Citizen action groups and court cases against renewable energy plants indicate that what is feasible from a technological and economic perspective might not correspond to what is socially accepted or tolerated. Reliable predictions about the feasible potential of renewable energies can thus only be achieved when political, economic, technological, and social requirements on a local scale are considered in a systematic and holistic way. To address this current research gap and support the stakeholders of the energy transition in their decision-making, this article proposes the idea of an interdisciplinary, cross-technological approach to developing a reliable perspective and an expansion concept for the successful implementation of the energy transition by considering parameters of acceptance already in the forecasting of the feasible potential. This approach aims at expanding existing techno-economical potential estimations for renewable energies by the societal dimension to approximate the realistic potential of specific sites and thus predict the feasibility of renewable energy projects more accurately. We exemplify how engineering, urban planning, and social science expertise can be integrated and combined for the forecasting of the feasible potential of renewable energies. Additionally, we identify the challenges that come with this interdisciplinary approach. The proposed approach serves three aims. First, it serves as an example of how interdisciplinary approaches to transformation processes, such as the energy system transformation, can have added value for forecasting and feasible potential analyses. Second, it exemplifies how an interdisciplinary approach to energy transformation can be achieved methodologically. Third, once executed and applied, it can outline the path toward a sustainable and accepted energy transformation.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"56 ","pages":"Article 100747"},"PeriodicalIF":5.9,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Credibility-driven pricing settlements in peer-to-peer energy trading using blockchain technology","authors":"Ashish Shukla,&nbsp;Parul Mathuria","doi":"10.1016/j.ref.2025.100749","DOIUrl":"10.1016/j.ref.2025.100749","url":null,"abstract":"<div><div>Blockchain-enabled peer-to-peer electricity trading using behind-the-meter deployment encourages users to increase their utilisation of renewable energy while consuming energy within the local energy markets (LEMs). Effective pricing settlements can assist mutual trust among users and encourage them to participate in trading. In this work, we focus on pricing settlement and present a novel score-based model aimed at accelerating stable P2P trading by increasing the number of pricing settlements among participants and minimising trading (or power delivery agreements) failures without incurring any financial loss. We present a credibility-based score model to better manage the larger differences in offered prices between sellers and buyers. In particular, the algorithm analyses historical transactions to calculate the credibility score between the seller and buyer. This score falls within the user’s threshold range, allowing for price adjustments during pricing settlement. Simulation results show that more successful trading transactions encourage participation despite wider price differentials between ToU and FiT rates and mitigating financial losses for users.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"55 ","pages":"Article 100749"},"PeriodicalIF":5.9,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144895136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dual-objective optimization of photovoltaic and electrolyzer size ratios for hydrogen production: economic and carbon emissions perspectives","authors":"Francesco Guarino,&nbsp;Angelo Gucciardi,&nbsp;Fabio Massaro,&nbsp;Francesco Montana,&nbsp;Salvatore Ruffino","doi":"10.1016/j.ref.2025.100744","DOIUrl":"10.1016/j.ref.2025.100744","url":null,"abstract":"<div><div>Hydrogen is a zero-emissions fuel that, if generated from renewable energy sources, can play a vital role in reducing carbon emissions across multiple sectors. Green hydrogen production plants are constrained by the availability of renewable sources and there is not a common sizing criterion to couple water electrolyzers with renewable technologies. This study aims at filling the research gap involving the preliminary sizing of water electrolyzers to be coupled with photovoltaic systems according to different objectives and final production targets. The problem was formulated and addressed using a MILP optimization algorithm in MATLAB and solved according to the minimum costs and minimum carbon emissions criteria. Additionally, the optimization algorithm was run on three different final demand scenarios: hydrogen production from stand-alone plant, production to meet hydrogen final demand, and production to meet hydrogen and electricity final demands. Results show that the optimal ratio is between about 1.8 and 2 in the cases with cost minimization, but it increases up to 5.75 when both costs and carbon emissions are taken into account.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"55 ","pages":"Article 100744"},"PeriodicalIF":5.9,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low-carbon optimal scheduling of integrated energy system with concentrating solar power based on entropy weight IGDT","authors":"Ankang Miao ,&nbsp;Yue Yuan ,&nbsp;Junpeng Zhu ,&nbsp;Mengda Li","doi":"10.1016/j.ref.2025.100746","DOIUrl":"10.1016/j.ref.2025.100746","url":null,"abstract":"<div><div>Concentrating solar power (CSP) can effectively mitigate the randomness and intermittency of solar resources. To accurately characterize the operation characteristics of the CSP and address the multiple uncertainties, this study establishes a low-carbon optimal scheduling model of an integrated energy system with CSP based on entropy weight information gap decision theory (IGDT). Firstly, based on the start-up characteristics of the CSP, a refined model of a multi-period cumulative heat start-up for the CSP is established. Then, considering the multiple uncertainties, the IGDT is applied to address the new uncertainties in energy and load power. The entropy weight method is employed to eliminate the subjectivity associated with the weights of multiple uncertain variables and their corresponding deviation factors. Finally, the IGDT optimization model is compared with the established stochastic model, robust model, and robust stochastic model. The sensitivity of the uncertainties of the opportunity and robust strategies is also analyzed. The case studies verify the validity and feasibility of the established model of IES with CSP based on entropy weight IGDT, which provides a reference for operational research in CSP and uncertainty research in energy systems.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"55 ","pages":"Article 100746"},"PeriodicalIF":5.9,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144826801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategic assessment of waste-to-energy pathways for sustainable municipal solid waste management in Bangladesh","authors":"Md.Sazid Khan ,&nbsp;Hasan Muhommod Robin ,&nbsp;Md Nahid Khan ,&nbsp;Sadman Salim Rahman Asif ,&nbsp;Md.Sadbin Islam ,&nbsp;Mim Mashrur Ahmed","doi":"10.1016/j.ref.2025.100745","DOIUrl":"10.1016/j.ref.2025.100745","url":null,"abstract":"<div><div>Uncontrolled accumulation of municipal solid waste (MSW) in Rajshahi City Corporation (RCC), Bangladesh, poses a critical threat to environmental and public health. With MSW projected to rise by over 320% by 2040 from 2024 levels, there is an urgent need to transition from open dumping to sustainable energy recovery solutions. This study presents a techno-economic and environmental assessment of three waste-to-energy (WtE) pathways anaerobic digestion (AD), incineration (INC), and landfill gas (LFG) recovery over the 2024-2040 period. AD and INC emerged as the most effective, each producing over 700 million kWh annually by 2040, compared to 45 million kWh for LFG. AD and INC showed strong financial viability, with net present values of USD 419 million and USD 392 million and discounted payback periods of 4.2 years. Levelized cost of energy remained low across all options. AD had the lowest acidification and dioxin emissions, while LFG and No Recovery scenarios imposed the highest human health (USD 1.39 million) and ecosystem damages (USD 15 million). Sensitivity analysis confirmed the resilience of AD and INC under varying inflation and electricity price conditions. Overall, an AD-led strategy, supported by selective INC, offers the most balanced energy, economic, and environmental outcomes. The study provides an evidence-based framework for implementing decentralized WtE systems in rapidly urbanizing cities.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"55 ","pages":"Article 100745"},"PeriodicalIF":5.9,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144770730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"State-of-the-art of hierarchical microgrid technological framework: operational strategies with manifold barriers and future trajectories","authors":"Abdul Latif ,&nbsp;Abdelhakim Saim ,&nbsp;Azeddine Houari ,&nbsp;Ali Djerioui","doi":"10.1016/j.ref.2025.100743","DOIUrl":"10.1016/j.ref.2025.100743","url":null,"abstract":"<div><div>Microgrids represent a critical and integral element in the advancement of smart grid technologies. These are diminutive-scale power systems, encompassing distributed energy resources. For the realization of the potential inherent in distributed generation, it is imperative to adopt a framework wherein the corresponding loads and generation are conceptualized as a sub-system, or more precisely, a microgrid. This article presents a comprehensive review of the scholarly literature pertaining to microgrid concept, technological applications. Research in this field is bifurcated into three primary domains: feasibility, control with management and stability strategies. Initially, the article delineates the various applications and categorizations of microgrids. Subsequently, it elucidates the objectives underlying microgrid control. Additionally, the article delves into the issue of small signal stability and hierarchal stability framework and clustering within microgrids, exploring various methodologies to enhance this aspect. Later, the paper scrutinizes the aspect of load frequency control within the microgrid paradigm. Additionally, numerous potential issues and barriers associated with microgrid implementation are identified and discussed. The paper concludes by delineating key areas for future microgrid research. This work aims to provide scientists, academician, and policymakers with comprehensive and structured knowledge about microgrids.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"55 ","pages":"Article 100743"},"PeriodicalIF":5.9,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144748593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review of data-driven deep learning models for solar and wind energy forecasting","authors":"Shubham Shringi ,&nbsp;Lalit Mohan Saini ,&nbsp;Sanjeev Kumar Aggarwal","doi":"10.1016/j.ref.2025.100739","DOIUrl":"10.1016/j.ref.2025.100739","url":null,"abstract":"<div><div>Numerous papers using advanced Artificial Intelligence (AI) based models - such as deep neural networks (DNN), Convolutional Neural Networks (CNN), and Long Short-Term Memory (LSTM) networks - have been reported for solar and wind forecasting. However, a systematic quantitative comparison of these diverse studies remains underexplored. This paper presents a comprehensive review and critical comparison of data-driven forecasting methods based on key parameters, including forecasting horizon, input features, geographical location, forecasting accuracy, training/testing period data length, pre-processing techniques, model architecture, activation functions, training algorithms, and the simulation platforms. Special emphasis is placed on data preparation strategies and model optimization techniques that significantly influence forecasting performance and model robustness. The scope is focused on purely data-driven AI and hybrid approaches, excluding physical and statistical models. An exploration of the strengths and weaknesses of these methods underscores the significance of hybrid models, particularly those combining DNN. A key contribution of this study lies in its structured synthesis of performance outcomes from various reported works, methodically arranged by increasing testing data duration. This organization aids in identifying consistently reliable and high-performing models. The findings highlight the superior accuracy and adaptability of hybrid AI models, offering practical guidance for researchers, developers, and stakeholders in renewable energy forecasting and planning.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"55 ","pages":"Article 100739"},"PeriodicalIF":4.2,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144694322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}