Renewable Energy最新文献

{"title":"Optimal planning of solar PV-based electric vehicle charging stations empowered by energy storage system: Feasibility and green charge potential","authors":"Zafer Ozturk ,&nbsp;Alpaslan Demirci ,&nbsp;Musa Terkes ,&nbsp;Recep Yumurtaci","doi":"10.1016/j.renene.2025.123715","DOIUrl":"10.1016/j.renene.2025.123715","url":null,"abstract":"<div><div>The rapid growth of electric vehicle (EV) adoption and declining photovoltaic (PV) costs have accelerated global efforts to integrate renewables into EV charging infrastructure. In emerging economies like Türkiye, these developments pose both opportunities and challenges due to limited PV installation areas, variable charging demand, and the capital-intensive nature of energy storage systems (ESS). This study presents a techno-economic and environmental optimization of hybrid solar-powered EV charging stations (EVCS) across 12 climatically diverse Turkish cities. Results show that with flexible PV sizing and moderate demand, grid dependency can be reduced by up to 66.7%, while the renewable fraction (RF) can reach 89%. In high-irradiance regions (<span><math><mo>&gt;</mo></math></span>4.5 kWh/m²/day), ESS becomes economically viable below $150/kWh, achieving discount payback periods under 10 years. Conversely, in areas with limited space and high demand, RF may drop to 16%, increasing grid reliance and CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions. Cities like İzmir and Gaziantep demonstrate 23% lower energy costs than less favorable locations like Trabzon, emphasizing climate impacts. The study offers a replicable framework for planning efficient, low-carbon EVCS tailored to regional conditions, supporting policymakers, utilities, and investors in advancing Türkiye’s energy transition and decarbonization strategies.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"255 ","pages":"Article 123715"},"PeriodicalIF":9.0,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314246","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":"Study on enhanced torrefaction of elm with Mg(OH)2","authors":"Jiapeng Gong ,&nbsp;Yanyang Mei ,&nbsp;Baojun Wang ,&nbsp;Shan Zhang ,&nbsp;Yuanhao Hou ,&nbsp;Jingfan Hou ,&nbsp;Guiying Lin ,&nbsp;Shusheng Pang","doi":"10.1016/j.renene.2025.123800","DOIUrl":"10.1016/j.renene.2025.123800","url":null,"abstract":"<div><div>Torrefaction is a promising method for biomass pretreatment. However, there is an inconspicuous deoxygenation effect at lower temperature, while higher temperature torrefaction entails greater energy consumption. Additionally, 30 % of the carbon released during torrefaction is emitted as CO₂. In order to enhance the deoxygenation effect of low-temperature torrefaction and reduce CO₂ emissions during torrefaction, enhanced torrefaction experiments (220, 250 and 280 °C) with Mg(OH)₂ as additive were carried out on a vertical furnace and a thermogravimetric mass spectrometry (TG-MS), respectively. The results both showed that Mg(OH)₂ effectively enhanced the deoxygenation effect. Compared with T220, the O/C ratio of T₂220, T₁220 and T_0.5220 decreased by 17.31 %, 21.16 % and 19.23 %, respectively, which also decreased significantly at 250 °C and 280 °C. The mass ratio of Mg(OH)₂ had little effect on the deoxygenation effect. Furthermore, Mg(OH)₂ could effectively absorb CO₂, thus reducing CO₂ emissions. Among them, the CO₂ emissions of T₂220 was only about 1/2 of that of T220 during torrefaction. This study might offer insights into optimizing energy efficiency and lessening CO₂ emission during torrefaction.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123800"},"PeriodicalIF":9.0,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306272","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":"Designing energy-resilient communities: A school-centric approach to positive energy districts with integrated storage system","authors":"Le Ding,&nbsp;Zhonghua Gou","doi":"10.1016/j.renene.2025.123785","DOIUrl":"10.1016/j.renene.2025.123785","url":null,"abstract":"<div><div>In response to increasing climate extremes, countries are advancing the development of Energy Communities (ECs) and Positive Energy Districts (PEDs). While homes and offices dominate PED research, schools—with their predictable schedules and underutilized off-hour capacity—hold untapped potential to enhance energy resilience through demand flexibility and solar surplus. This study proposes an optimization strategy for school-centered energy systems, integrating battery storage and surplus energy management to maximize emergency power provision and support peak-hour demand for schools and adjacent residences. Analyzing one year of energy data from Bear Creek High School (BCHS), we find summer surplus production (2941.6 kWh) offsetting winter reliance on external power due to heating and lighting demands. Residential energy peaks in autumn and winter further highlight the school's critical role in grid support. Annual simulations demonstrate a 45.6 % reduction in grid dependence, 3418 charge cycles, and $4.66 million in electricity cost savings. These results validate schools as strategic anchors for scalable PEDs, offering actionable insights for resilient urban energy planning.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123785"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298530","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":"Trade-offs between engine performance and emissions in diesel engines fueled with hydrogen from ammonia cracking and biodiesel blends","authors":"Pugazhendhi Arivalagan ,&nbsp;S.K. Kamarudin ,&nbsp;V. Meenakshi ,&nbsp;T R Praveenkumar","doi":"10.1016/j.renene.2025.123799","DOIUrl":"10.1016/j.renene.2025.123799","url":null,"abstract":"<div><div>In this study, hydrogen gas produced from ammonia cracking was used as the secondary fuel in an unmodified diesel engine, and the effects of using 20 % microalgal-based biodiesel blends along with hydrogen on combustion, performance, and emissions were examined. Hydrogen was injected at liters per minute (LPM) into the intake manifold at three different flow rates of 10 LPM, 15 LPM, and 20 LPM. The flow rates were managed by the rotameter, and flashback arrestors were used to avoid backfire. The hydrogen-enriched biodiesel blends enhanced in-cylinder pressure and heat release rate, improving combustion efficiency in the diesel engine. The high cetane number and oxygen content of biodiesel contributed to complete combustion; hydrogen's high flame speed shortened combustion duration and enhanced brake thermal efficiency, particularly in the blend with 20 % biodiesel and hydrogen. The addition of hydrogen at 20 LPM increased the brake thermal efficiency by 23.08 % compared to diesel, while brake specific fuel consumption decreased to 0.36 kg/kWh. Hydrocarbon and carbon monoxide emissions were reduced by 12.6 % and 50 %, respectively at stoichiometric conditions. However, NOx emissions increased by up to 3.4 % due to high combustion temperatures. The combustion duration was reduced by 17.65 %, and peak in-cylinder pressure increases from 32 bar for diesel to 55 bar with hydrogen-enriched blends. The equivalence ratio of 1.1 further reduced emissions but slightly decreased thermal efficiency due to dilution effects.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123799"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313699","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 sensitive and easy-to-deploy condition monitoring method for main drive chain of large wind turbines","authors":"Wei Liu ,&nbsp;Xian Wang ,&nbsp;Qingcan Long ,&nbsp;Bing Zeng ,&nbsp;Shuai Zhong","doi":"10.1016/j.renene.2025.123773","DOIUrl":"10.1016/j.renene.2025.123773","url":null,"abstract":"<div><div>Effective condition monitoring of the main drive chain of wind turbines is crucial to reducing the operation and maintenance costs of wind farms. Based on the condition monitoring theory of Normal Behavior Model (NBM) of machine learning, this paper proposes a sensitive and easy-to-deploy condition monitoring method for main drive chain of large wind turbines. In order to better characterize the normal state of main drive chain, the process of selecting input and output variables for the NBM considers both the correlations among monitoring data and the working mechanism of main drive chain. The NBM, constructed based on the Informer network using the Transformer architecture, ProbSparse self-attention mechanism, and attention distillation mechanism, provides a better accuracy and requires fewer computing resources than traditional methods. In order to accurately and sensitively reflect the health conditions of main drive chain, the designed condition assessment index adopts a double-variable residual fusion mechanism and a historical memory elimination mechanism. The case studies show that the method is effective for condition monitoring and early warning for fault of main drive chain in an on-site environment. Further studies have found that the proposed method has strong transferability and is expected to be easily deployed at scale.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123773"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313770","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":"Bioenergy potential of sea buckthorn branches: A study on the multicomponent kinetics and thermodynamics of its pyrolysis","authors":"Jiuzhuo Cui ,&nbsp;Zhitong Yao ,&nbsp;Huanxuan Li ,&nbsp;Jean Constantino Gomes da Silva ,&nbsp;José Luiz Francisco Alves ,&nbsp;Yang Chen ,&nbsp;Akash Kumar ,&nbsp;Ljiljana Medic Pejic ,&nbsp;Jingjing Jiang ,&nbsp;Jiayao Tong ,&nbsp;Jie Liu ,&nbsp;Haoqi Wang ,&nbsp;Wei Qi","doi":"10.1016/j.renene.2025.123786","DOIUrl":"10.1016/j.renene.2025.123786","url":null,"abstract":"<div><div>This study investigated the multicomponent pyrolysis kinetics and thermodynamics of sea buckthorn branch (SBB) biomass to assess its bioenergy potential. Thermogravimetric analysis coupled with Fraser-Suzuki deconvolution identified three pseudo-components (PS-HC, PS-CL, and PS-LG) with peak temperatures of 283–305 °C, 344–366 °C, and 400–422 °C, respectively. Py-GC/MS analysis showed that C₁₆-C₂₈ alkanes and acid were the dominant products, consistent with the significant C-H and C=O group vibrations in the FTIR analysis. Activation energies for each pseudo-component from four isoconversional methods was comparable, showing an increasing order of PS-HC (157.70 kJ/mol) &lt; PS-CL (182.53 kJ/mol) &lt; PS-LG (228.87 kJ/mol). The master-plots method indicated that the reaction mechanisms followed 3rd, 1st and 4th order models, respectively. Positive values for ΔH (152.59, 177.17, and 224.43 kJ/mol) and ΔG (157.47, 176.99, and 190.47 kJ/mol) indicated higher energy barriers, especially for PS-LG, and lower spontaneity of the conversion process. These results highlighted the energy potential of SBB as a feedstock for bioenergy production and provided valuable insights into reactor design and process optimization for large-scale application.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"255 ","pages":"Article 123786"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314247","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":"Contribution of floating photovoltaic systems in hydropower plants for the expansion of Brazilian electricity sector","authors":"Danielle Rodrigues Raimundo ,&nbsp;Carla Kazue Nakao Cavaliero ,&nbsp;Marcelo Pereira da Cunha","doi":"10.1016/j.renene.2025.123754","DOIUrl":"10.1016/j.renene.2025.123754","url":null,"abstract":"<div><div>The Brazilian electricity matrix is mainly composed of hydropower plants, which allow the storage of energy as water in reservoirs. However, the water crises experienced in recent years bring uncertainties regarding the reliability of this kind of energy storage. The present work proposes a study on the use of photovoltaic generation in floating panels in reservoirs of hydropower plants. Floating photovoltaic systems have been the subject of several studies, but there is still a lack of research regarding their technical feasibility, operational challenges, and environmental impacts. In Brazil, it is also necessary to understand the insertion of floating photovoltaic systems in the National Interconnected System, the additional installed capacity, and the potential displacement of natural gas thermal generation. Data were collected from reliable references, such as the National Electric System Operator (ONS). The additional generation was estimated using PVSyst® software and considered specific input parameters from each hydropower plant analyzed. As a result, floating photovoltaic systems can be relevant in the Brazilian electricity matrix and, considering the plants analyzed, would be able to generate 7.7 TWh/year, displacing 15 % of the natural gas power generation forecasted for 2031.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123754"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298534","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":"Short-term hydropower generation prediction model for run-of-river hydropower plants considering hydrometeorological factors","authors":"Wang Peng ,&nbsp;Zhiqiang Jiang ,&nbsp;Huaming Yao ,&nbsp;Li Zhang ,&nbsp;Jianhua Yu","doi":"10.1016/j.renene.2025.123790","DOIUrl":"10.1016/j.renene.2025.123790","url":null,"abstract":"<div><div>Run-of-river hydropower plants, with limited storage capacity, primarily relying on the variability of incoming flow. However, the intricate fluctuations in external hydrological and meteorological factors engender a robust non-linear interdependency between streamflow patterns and hydropower generation. This study treats short-term hydropower generation prediction as a multivariate time series task and proposes a novel hybrid deep learning model, named Dual Attention Mechanism-Convolutional Neural Network-Bidirectional Gated Recurrent Unit (DAC-BiGRU). The model was validated and evaluated using both hydrometeorological reanalysis data and hydropower generation data. The results demonstrate that superior performance of the DAC-BiGRU model compared to baseline models such as Long Short-Term Memory (LSTM), CNN-LSTM, CNN-GRU, and Support Vector Machine (SVM), with an 8.8 % reduction in Root Mean Squared Error (RMSE). The integration of streamflow and soil temperature as supplementary input variables enhances the generalization capacity and predictive accuracy of the DAC-BiGRU model. The simplicity and efficiency of the DAC-BiGRU model make it a novel and effective solution with significant engineering relevance in short-term hydropower generation prediction.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123790"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313769","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":"Seismic vibration control of CFDST composite wind turbine towers with TLCDs","authors":"Li-Xin Duan ,&nbsp;Wen-Da Wang ,&nbsp;Yan-Li Shi ,&nbsp;Long Zheng","doi":"10.1016/j.renene.2025.123789","DOIUrl":"10.1016/j.renene.2025.123789","url":null,"abstract":"<div><div>As MW-class wind turbine towers (WTT) continue to grow in size, traditional steel tube structures are inadequate to meet the seismic requirements of large-scale towers. Concrete-filled double-skin steel tube (CFDST) towers, known for their lightweight and high lateral stiffness, are showing promising prospects for use in MW-class wind turbine towers. This study takes the NREL 5 MW WTT as a prototype and designs four 1:20 scaled wind turbine tower models-two concrete-filled double-skin steel tube (CFDST) towers and two conventional steel towers. One CFDST tower and one steel tower are equipped with a tuned liquid column damper (TLCD) at the nacelle, while the other two serve as control specimens without TLCDs. Shaking table tests were conducted on all models, with the influence of the blades taken into account. Acceleration, displacement, and strain responses under seismic excitation were obtained. Based on these results, the dynamic response characteristics of the CFDST composite tower were compared with those of the conventional steel tower. Furthermore, the feasibility of implementing TLCDs in CFDST towers was assessed, and the combined effect of cross-sectional optimization and damping devices was investigated. The findings indicate that, under identical seismic conditions, the displacement, acceleration, and strain in the Concrete-Filled Double-Skin Steel Tube (CFDST) WTT are significantly lower than those in the traditional steel structure WTT. The effectiveness of the TLCD in reducing vibrations not only increases with the peak ground acceleration (PGA) but also varies according to the type of seismic wave and the direction of seismic loading. Moreover, the combined application of cross-sectional optimization and TLCD installation yields the most substantial vibration reduction, achieving a maximum decrease in acceleration of 66.7 % and displacement of 57.5 %. These results confirm that employing TLCD damping devices in CFDST WTT is both feasible and advantageous, enhancing the operational stability and safety of WTTs under extreme seismic conditions.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"254 ","pages":"Article 123789"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313772","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 airfoil-based synthetic actuator disk model for wind turbine aerodynamic and structural analysis","authors":"Muhammad Rubayat Bin Shahadat ,&nbsp;Mohammad Hossein Doranehgard ,&nbsp;Weibing Cai ,&nbsp;Charles Meneveau ,&nbsp;Benjamin Schafer ,&nbsp;Zheng Li","doi":"10.1016/j.renene.2025.123780","DOIUrl":"10.1016/j.renene.2025.123780","url":null,"abstract":"<div><div>This study introduces an airfoil-based refinement technique to enhance the Actuator Disk Model (ADM) for improved wind turbine aerodynamic load prediction and structural simulation in conjunction with Large Eddy Simulations of the wind flow. While ADM offers higher computational efficiency than the more detailed but resource-intensive Actuator Line Model (ALM), it traditionally lacks the resolution needed to capture the localized blade forces accurately. To address this limitation, we introduce a refinement technique that uses airfoil-specific data and employs interpolation-based grid point refinement, achieving ALM-comparable accuracy while preserving ADM's efficiency. Unlike conventional ADM that provides only rotor-disk averaged forces, our synthetic method tracks transient aerodynamic load variations over multiple blade revolutions, allowing us to calculate the distributions of maximum and minimum loads during typical cycles. Applied to the NREL 5 MW reference turbine, our enhanced ADM accurately predicts key aerodynamic parameters (angle of attack, axial velocity, lift, drag, axial and tangential forces along the blades) as well as structural responses (blade tip deflection, maximum stress, and stress concentration). Our results show that the tip deflection ranges from 2.33m (3.69 % of blade length) to 4.28m (6.79 %), with maximum stress concentration occurring near the blade root. This research demonstrates that a refined synthetic ADM approach can serve as a computationally efficient alternative for both aerodynamic analysis and structural simulation of wind turbine blades subjected to realistic wind fields.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"255 ","pages":"Article 123780"},"PeriodicalIF":9.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313506","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}