Renewable Energy最新文献

{"title":"Study on the effect of gas supply methods on the performance of PEMFC with dead-ended anode","authors":"Shihua Liu ,&nbsp;Zhendong Liang ,&nbsp;Chenlong Wang ,&nbsp;Tie Geng ,&nbsp;Zongcai Wang ,&nbsp;Xiaoling Wu ,&nbsp;Boqiang Zhang ,&nbsp;Wei Feng ,&nbsp;Guoshuai Qin ,&nbsp;Xinchao Wang","doi":"10.1016/j.renene.2025.124438","DOIUrl":"10.1016/j.renene.2025.124438","url":null,"abstract":"<div><div>In the operation of a proton exchange membrane fuel cell (PEMFC) with dead-ended anode (DEA), water and nitrogen from the cathode side permeate and gradually accumulate on the anode side, impairing hydrogen fuel mass transfer and distribution. This accumulation leads to progressive performance degradation. To optimize the performance of PEMFC with dead-ended anode (DEA-PEMFC), this study investigates the impact of gas supply methods on the operating performance of DEA-PEMFC through theoretical analysis and experimental methods, including the use of a visualized fuel cell and partition measurement. The results indicate that reverse flow delivery of reactant gases eliminates water accumulation in the anode flow channels, significantly extending the duration of steady-state operation. However, reverse flow does not improve the uniformity of local current density distribution. Moreover, irrespective of whether cocurrent flow or reverse flow is used, reducing the humidification duration of the cathode reactant gas markedly increases the steady-state operation time of DEA-PEMFC. These findings offer crucial guidance for optimizing gas supply methods and enhancing the performance of DEA-PEMFC.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124438"},"PeriodicalIF":9.1,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145128212","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":"Unlocking energy efficiency through digital platforms: Implications for sustainable energy transition","authors":"Muhammad Tufail ,&nbsp;Muhammad Imran ,&nbsp;Lin Song","doi":"10.1016/j.renene.2025.124503","DOIUrl":"10.1016/j.renene.2025.124503","url":null,"abstract":"<div><div>Despite growing interest, empirical evidence and conceptual frameworks on the nexus between digitalization and energy efficiency remain limited in emerging economies. This study investigates 22 countries from 1990 to 2022. It employs the Method of Moment Quantile Regression (MMQR) to analyze how digitalization and key economic, structural, and institutional factors influence energy efficiency. The MMQR framework enables a distributional analysis across different quantiles. Results show that digitalization significantly promotes energy efficiency, largely driven by advancements in digital infrastructure and technology adoption. In contrast, GDP, industrial structure, trade openness, and urbanization reduce energy efficiency, while political stability enhances energy efficiency. Overall, the study provides robust empirical evidence on the role of digitalization in enhancing energy efficiency, supporting digitalization and decarbonization transitions in these emerging economies.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124503"},"PeriodicalIF":9.1,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145216764","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":"Evaluating the potential of solar PV to reduce energy costs in fuel poor households","authors":"Paul McKenzie,&nbsp;David Gawley","doi":"10.1016/j.renene.2025.124487","DOIUrl":"10.1016/j.renene.2025.124487","url":null,"abstract":"<div><div>Energy costs represent a significant proportion of household incomes and contribute to fuel poverty. Energy demand also contributes to carbon emissions which must decrease to meet net zero targets. Low Carbon Technologies (LCTs), such as solar photovoltaics (PV), offer opportunities to reduce household energy costs and emissions. However, many LCTs have strict spatial requirements that must be considered to identify buildings that can maximise benefits. This study used bespoke and transferable high-resolution solar PV models alongside government retrofit data to assess solar PV's potential to reduce energy costs in a sample of fuel poor homes. Results showed that households can reduce electricity expenditure by an average of 26 % and a maximum of over 41 %. Pen Portraits revealed that savings could reduce household expenditure by up to 43 %, thus reducing risk of fuel poverty. When combined with energy efficiency measures already installed, solar PV can reduce household expenditure and carbon emissions. Transferable spatial approaches can be used to lower technical barriers to adoption of LCTs while also proposing areas to promote sustainable practices and behaviours. Spatially targeted policies can then be used to allocate budgets, equipment, information and support structures to maximise self-consumption and adoption of renewable technologies.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124487"},"PeriodicalIF":9.1,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145216895","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":"Machine learning models and experimental evaluation on mass and temperature of dried coriander seeds in solar hybrid collector with dryer (SHCD)","authors":"A. Saranya ,&nbsp;B. Poorani ,&nbsp;M. Rajendiran ,&nbsp;N. Poyyamozhi ,&nbsp;Prajith Prabhakar","doi":"10.1016/j.renene.2025.124482","DOIUrl":"10.1016/j.renene.2025.124482","url":null,"abstract":"<div><div>The aim of this study is to examine the drying processes of coriander seeds experimentally and by open sun drying. Using machine learning models, namely Gaussian Process Regression (GPR), Multilayer Perceptron (MLP), and Radial Bias Function (RBF), the experimental outcomes may be assessed. The quality of coriander seeds is greatly impacted by post-harvest drying, yet conventional open sun drying has drawbacks such as contamination and weather dependence. This study uses three machine learning models the Gaussian Process Regression (GPR), Multilayer Perceptron (MLP), and Radial Basis Function (RBF) to predict Heat induced dryness and Mass based dryness in order to experimentally compare sunlight drying (31–58 °C) to open sun drying for 3 kg of coriander seeds. Finding the best model to maximise drying conditions is the aim. The following drying parameters were tracked: air outlet temperature, moisture loss, and sun radiation. R2, RMSE, and MAPE were used to evaluate the model's performance. Important findings were RBF achieved R2 = 0.98 (temperature) and 0.99 (Mass based dryness), outperforming MLP and GPR. Higher mistakes were seen in MLP (R2 = 0.95) and GPR (R2 = 0.56 for mass), which were explained by the sensitivity of GPR to noise and MLP's reliance on the volume of training data. The results are based on 3 kg of drying on a small scale; confirmation on an industrial scale is required. Data on open sun drying, such as humidity and sunlight flux, vary by region. Data noise or inadequate hyperparameter tuning might be the cause of GPR's subpar performance. Results might not apply to seeds with various moisture profiles.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124482"},"PeriodicalIF":9.1,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145154277","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":"Improving operational reliability in hydropower units using incremental learning-based monitoring","authors":"Xiao Lang,&nbsp;Håkan Nilsson,&nbsp;Wengang Mao","doi":"10.1016/j.renene.2025.124513","DOIUrl":"10.1016/j.renene.2025.124513","url":null,"abstract":"<div><div>Reliable and efficient operation of hydropower plants is essential for ensuring a stable renewable energy supply. However, the growing demand for frequency regulation in modern power systems has led to more frequent start-stop cycles and varying load conditions, introducing operational stresses that can accelerate the degradation of critical components. To address these challenges, this study proposes a data-driven incremental learning (IL) framework for performance monitoring and predictive maintenance in hydropower generation systems. The framework incrementally updates a neural network model using sliding window data stream, while retaining prior knowledge through a freezing-based adaptation strategy. Key performance indicators (KPIs) are derived by comparing model predictions under Monte Carlo-simulated reference conditions, providing quantitative insights into the progression of equipment health. The proposed method is validated using over three years of full-scale operational data from a Swedish hydropower plant. Results demonstrate that the IL-based approach successfully tracks KPI increases from 0 to 0.1 over two years of operation and detects abrupt KPI drops following planned maintenance, as observed in the case study bearings. Compared to conventional retraining methods, the IL framework offers improved adaptability and stability. By providing a robust framework for quantifying both gradual degradation and abrupt health status shifts, this work presents a direct pathway toward more proactive, condition-based maintenance strategies, ultimately enhancing the operational reliability and economic viability of hydropower assets.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124513"},"PeriodicalIF":9.1,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145216537","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":"Integrating interfacial Ni-S bond-strengthened ohmic junctions with sulfur vacancies for simultaneous efficient photocatalytic norfloxacin degradation and H2 generation","authors":"Lifang Yang ,&nbsp;Hao Luo ,&nbsp;Lu Yao ,&nbsp;Zizhong Zhang ,&nbsp;Zhijun Yang ,&nbsp;Kaikai Wang","doi":"10.1016/j.renene.2025.124478","DOIUrl":"10.1016/j.renene.2025.124478","url":null,"abstract":"<div><div>Dual-functional photocatalysts (DFP) have shown remarkable advantages in converting solar energy into renewable H₂ while simultaneously remediating the environmental pollution. To achieve rapid separation and high utilization of the photogenerated charge carriers, it is crucial to establish robust atom-level interactions within a DFP heterostructure. In this context, a binary Ni₂P/<em>d</em>_s-Zn₃In₂S₆ photocatalyst was synthesized for synchronous norfloxacin degradation and H₂ production. Metallic Ni₂P was chemically anchored onto the <em>d</em>_s- Zn₃In₂S₆ surface to reduce the energy barrier for interfacial electron transfer. Sulfur vacancies were engineered within the Zn₃In₂S₆ lattice to facilitate the isolation of charge carriers. Resultantly, the composite photocatalyst, leveraging the synergistic effects of the Ni₂P cocatalyst, interfacial Ni-S bond-reinforced ohmic junctions and sulfur defects, exhibited 19.17-fold enhancements in H₂ release (2.32 mmol g⁻¹ h⁻¹) and 2.84-fold improvements in norfloxacin decomposition (98.38%) compared to pristine Zn₃In₂S₆. On the ground of Fukui function calculations and liquid chromatography-mass spectrometry results, four plausible pathways for photocatalytic norfloxacin degradation were proposed. It is anticipated that the collaborative strategy outlined in this work will provide valuable insights into the design of high-performance DFP.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124478"},"PeriodicalIF":9.1,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145128177","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":"Thermodynamic and environmental impact analysis of a novel solar SOFC-based zero-carbon emission CCHP system coupled with a water gas shift membrane reactor for CO2 separation","authors":"Yunxiu Ren ,&nbsp;Nan Zheng ,&nbsp;Qiushi Wang ,&nbsp;Xingqi Ding ,&nbsp;Liqiang Duan ,&nbsp;Qiang Zhang ,&nbsp;Tianmei Pu ,&nbsp;Haotian Qi ,&nbsp;Nailu Li ,&nbsp;Weijun Zhu","doi":"10.1016/j.renene.2025.124509","DOIUrl":"10.1016/j.renene.2025.124509","url":null,"abstract":"<div><div>To efficiently utilize solar energy and reduce energy consumption for CO₂ separation, a solar-assisted solid oxide fuel cell-based combined cooling, heating, and power system integrated with a partially covered parabolic trough photovoltaic thermal collector, a water gas shift membrane reactor, and a supercritical CO₂ cycle is proposed. The water gas shift membrane reactor replaces the conventional fuel cell afterburner, controlling exhaust gas composition to enrich CO₂ with nearly zero energy input. Thermodynamic and environmental performances of the solar-assisted system are compared with the system without solar assistance, the oxy-fueled system, and the traditional air-mixed combustion system. The results illustrate that the solar-assisted system achieves energy efficiencies of 87.54 % in summer and 95.68 % in winter, exceeding the traditional system by 6.81 and 8.00 percentage points, respectively. The exergy efficiencies reach 57.37 % and 58.48 %, and the largest exergy losses occur in the partially covered parabolic trough collector, accounting for 27.4 % of the total, followed by the fuel cell at 14.8 %. The CO₂ emission factors based on electricity, energy, and exergy are lowest for the solar-assisted system in both summer and winter. The system's power output and exergy efficiency increase with fuel cell operating temperature, while total energy output and energy efficiency decrease. Increased solar irradiation further improves electricity and total energy output. These findings indicate that coupling solar energy with a water-gas shift membrane reactor in fuel cell systems markedly improves efficiency and reduces emissions, providing a promising pathway toward low-carbon, high-efficiency energy conversion.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124509"},"PeriodicalIF":9.1,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145216669","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":"An efficient method for the thermo-mechanical performance of energy pipe pile groups in layered geotechnical media","authors":"Zhi Yong Ai ,&nbsp;Xin Kai Chen ,&nbsp;Jia Ming Ye","doi":"10.1016/j.renene.2025.124475","DOIUrl":"10.1016/j.renene.2025.124475","url":null,"abstract":"<div><div>Energy pipe pile groups are widely used due to their environmental and societal benefits. However, there is a lack of an accurate and efficient calculation method for them. To fill this gap, this paper proposes a framework to assess the thermo-mechanical performance of energy pipe pile groups during service. Firstly, we approximate two sets of boundary forces on pipe piles as a single set of resultant forces at the mid-radius of pipe piles to enhance computational efficiency. Then, the solution of single energy piles under thermo-mechanical loads is derived based on this assumption and further extended to pipe pile groups. Comparisons with conventional and energy pipe pile groups are made to demonstrate the rationality of the presented assumption. The robustness and convergence efficiency of the proposed method are fully discussed, indicating the feasibility for a ratio of pile thickness to outer pile radius no more than 0.4. Numerical analyses show that preventing tensile failure of pipe piles under cooling conditions becomes critical at larger pile spacings due to the enhanced independence in thermal contraction. Additionally, cooling-induced tensile stresses of pipe pile groups with a triangular arrangement are notably higher than those with a uniform layout.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124475"},"PeriodicalIF":9.1,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145204173","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 novel framework for simultaneous energy, reactive power, and reserve exchange in decentralized P2P markets with renewable agents","authors":"Nader Tarashandeh,&nbsp;Ali Karimi","doi":"10.1016/j.renene.2025.124484","DOIUrl":"10.1016/j.renene.2025.124484","url":null,"abstract":"<div><div>In recent years, peer-to-peer (P2P) trading in electric distribution systems has gained significant attention for its potential to create resilient and efficient energy markets. While most studies focus on active energy exchanges, such as decentralization, pricing, and network constraints, integrating renewable energy sources (RES) necessitates flexible reserves to manage uncertainty and reactive power to maintain grid stability. This paper addresses these challenges by proposing a novel decentralized framework for P2P markets that enables the simultaneous exchange of active energy, reactive power, and flexible reserves under network constraints. Utilizing the Alternating Direction Method of Multipliers (ADMM), the framework minimizes the role of the distribution system operator (DSO) and allows renewable agents to calculate and provide reserves based on prediction errors. This approach not only enhances RES forecasting accuracy but also equitably distributes network regulation costs among participants. The numerical results show that the proposed framework effectively organizes the interactions between agents to maintain the power factor at energy-consuming nodes. It also ensures that there is a flexible reserve available to manage the uncertainty of RES while staying within network constraints. All of this is achieved in a short amount of time and requires minimal information exchange between agents.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124484"},"PeriodicalIF":9.1,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145154346","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 focus-shifted asymmetric compound parabolic concentrator and its application in concentrating bifacial photovoltaic system","authors":"Lan Xiao ,&nbsp;Hao Wang ,&nbsp;Shuang-Ying Wu ,&nbsp;Shi-Jie Xu ,&nbsp;Zhi-Li Chen","doi":"10.1016/j.renene.2025.124480","DOIUrl":"10.1016/j.renene.2025.124480","url":null,"abstract":"<div><div>To improve the optical performance of typical non-tracking asymmetric concentrator —Maximum Reflector Collector (MaReCo), this study proposed a novel focus-shifted asymmetric compound parabolic concentrator (FSACPC). The optical performance of FSACPCs with different geometric concentration ratios was investigated first. Then to further verify the potential of FSACPC for application in concentrating bifacial photovoltaic (CBPV) system, optical-thermal-electrical coupling models for FSACPC-CBPV and MaReCo-CBPV systems were established to study the variations of thermal and electrical performances with the light incident angle <em>θ</em>_in. Finally, the electrical performance and technical economy of FSACPC-CBPV system were compared with those of monofacial photovoltaic (MPV) system with the same solar receiving area under real irradiance conditions. The results show that, compared with MaReCo, FSACPC achieves a larger maximum light acceptance angle and demonstrates higher irradiance distribution uniformity in non-shadow states. FSACPC's maximum irradiance at the critical incident angle <em>θ</em>_cr decreases by at least 38.80 %, and the average solar radiant energy per unit concentrator area reaches a relative improvement rate of 8.29 %. Moreover, FSACPC-CBPV system has a 32.37 % lower maximum temperature of crystalline silicon cell (SC) layer at <em>θ</em>_cr than MaReCo-CBPV system, and exhibits larger temperature distribution uniformity. Within the same light acceptance range, while FSACPC-CBPV system having higher comprehensive electrical efficiency, its average total electrical power is also 13.06 % higher than that of MaReCo-CBPV system. Under the irradiance conditions of four typical days, the total electrical power per unit cost of FSACPC-CBPV system can be increased by at least 26.84 % compared with MPV system (at noon on the summer solstice). The levelized cost of energy (<em>LCOE</em>) of FSACPC-CBPV system with 1.7 of geometric concentration ratio is 0.196 CNY/kWh.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"256 ","pages":"Article 124480"},"PeriodicalIF":9.1,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145128201","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}