Renewable Energy最新文献

{"title":"Bidirectional puckering exciting superior optoelectronic performance of ZnS/graphene/ZnO heterostructures","authors":"Zhang Zhang ,&nbsp;Lin Li ,&nbsp;Ping Yang ,&nbsp;Haiying Yang","doi":"10.1016/j.renene.2025.122725","DOIUrl":"10.1016/j.renene.2025.122725","url":null,"abstract":"<div><div>We investigated the optoelectronic properties of ZnO/Graphene (Gra), ZnS/Gra, and ZnO/Gra/ZnS (OGS) heterostructures by using density functional theory (DFT). It was found that the OGS sandwich configuration exhibited the most superior performance, attributed to a unique bidirectional puckering structure in ZnS. This structure promotes electron localization and establishes efficient electron transport pathways, significantly enhancing charge transfer and optical absorption. Analysis of band structure, charge transfer, and optical properties showed that the puckering-induced interfacial interactions optimize conductivity and preserve the intrinsic characteristics of constituent materials. With a 24.2 % increase in carrier mobility and a 32.6 % improvement in optical absorption, the OGS heterostructure is a promising candidate for optoelectronic applications such as photocatalysis, photovoltaics, and energy storage devices.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122725"},"PeriodicalIF":9.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487787","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":"Performance analysis and operation optimization of photovoltaic/thermal assisted energy-pile ground source heat pump system in cold regions","authors":"Fang Wang ,&nbsp;Tian You ,&nbsp;Hengxu Yang","doi":"10.1016/j.renene.2025.122722","DOIUrl":"10.1016/j.renene.2025.122722","url":null,"abstract":"<div><div>The coupling between the photovoltaic/thermal collector and energy piles can store the solar waste heat in the soil via the energy piles, addressing soil thermal imbalance around energy piles, and preventing the decline in electric efficiency of photovoltaic/thermal collector due to high temperature. However, solar thermal energy is subject to losses during transmission when stored underground and subsequently used as the heat source for the heat pump. In contrast, direct utilization of solar thermal energy through different functions—such as pre-heating, direct heating, and auxiliary heating—can avoid these transmission losses. Despite the promising potential of energy piles, research on optimizing the utilization of solar energy in conjunction with energy piles remains limited. To bridge this research gap, this study proposes multi-functional operation strategies for photovoltaic/thermal-assisted energy-pile ground source heat pump systems, including configurations for heat storage, serial heat source and storage, and parallel heat source and storage. Using system models developed for an office building in the severe cold region of China, the study conducts a comparative analysis of subsystem thermal and electric performances, as well as the overall energy, environmental, and economic impacts. The results indicate that the parallel heat source and storage system achieves the highest solar heat extraction, ranging from 16.95 MWh to 17.25 MWh, due to its significant temperature difference during the heating season, with a utilization ratio of 13.19 %–14.17 %. A higher flow rate to the PV/T subsystem further enhances solar heat extraction, reducing the dependence on soil heat extraction. Additionally, the serial heat source and storage system demonstrates optimal solar energy utilization, achieving a total efficiency of 70.20 %, with electricity production of 225.84 MWh and heat recovery of 732.57 MWh. Finally, the overall performance analysis highlights the serial heat source and storage system as the most suitable configuration. This system achieves the lowest total power consumption (82.48 MWh to 82.60 MWh), carbon emissions (497.31 tCO₂), and ten-year costs (60.34 × 10⁴ CNY). This study contributes to the optimization of PV/T-assisted energy-pile ground source heat pump systems, supporting the advancement of low-carbon, energy-efficient building technologies.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122722"},"PeriodicalIF":9.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143473948","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 optimization of combined cooling, heating, and power hybrid renewable multienergy system based on enhanced implementation feasibility","authors":"Xiangming Zhao ,&nbsp;Yuan Liu ,&nbsp;Maogang He ,&nbsp;Jianxiang Guo","doi":"10.1016/j.renene.2025.122710","DOIUrl":"10.1016/j.renene.2025.122710","url":null,"abstract":"<div><div>To promote the implementation of optimization schemes, a comprehensive optimization approach is proposed with the aim of enhancing the implementation feasibility of a combined cooling, heating, and power (CCHP) system based on optimization solutions. The proposed method not only focuses on optimizing objective functions but also considers the optimization characteristics of decision variables. A computational model for a multienergy CCHP hybrid system incorporating solar, biomass, and geothermal energy is established. The optimization objective functions include the net present value, fossil energy consumption, and carbon dioxide emissions. The objective function results show that the HV values of the original algorithm and the jointly improved algorithm differ by 4.4%, indicating that they have similar performance characteristics. Regarding decision variables, the results show that the standard deviations of the decision variable deviations increase by 42.2%. In addition, the Solow–Polasky diversity measure increases by 21.3%. The improved algorithm presented in this paper significantly enhances the feasibility and diversity of system configurations (decision variables) while minimally impacting the objective functions. Further simplification of the decision variables in the optimization plan provides simplified optimization solutions for construction and operational maintenance. Moreover, the standardization of decision variables facilitates enhanced coordination between construction teams and equipment suppliers.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"245 ","pages":"Article 122710"},"PeriodicalIF":9.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529360","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":"Ensemble learning based approach for the prediction of monthly significant wave heights","authors":"Jinzhou Chen,&nbsp;Xinhua Xue","doi":"10.1016/j.renene.2025.122732","DOIUrl":"10.1016/j.renene.2025.122732","url":null,"abstract":"<div><div>The monthly significant wave height is the average of the highest one-third waves (measured from trough to crest) that occur in a month. Accurate prediction of monthly significant wave heights is of great significance to wave power generation, marine traffic, disaster prevention and mitigation. This paper presents a novel stacked ensemble model for the prediction of monthly significant wave heights. 128 sets of data collected from a buoy station offshore the Atlantic Ocean were used to build the proposed models. Firstly, seven artificial intelligence (AI) models, namely the random forest, regression tree, long short-term memory, M5 model tree, adaptive neuro fuzzy inference system, least squares support vector machine optimized by improved particle swarm optimization, and back propagation neural network, were used to predict the monthly significant wave heights. Then, five statistical indices (e.g., coefficient of determination (R²), mean absolute error (MAE), root mean squared error (RMSE), mean absolute percentage error (MAPE) and discrepancy ratio (DR)) were used to evaluate the performance of the models. On the basis of the prediction results, three base models with good performance were selected from these seven models, and a novel stacked ensemble model was established to predict the monthly significant wave heights. The results of comparison between the stacked ensemble model and the other three AI base models show that the R², MAPE, MAE and RMSE values of the stacked ensemble model were 0.9426, 3.198 %, 0.0575 m and 0.006 m, respectively, for the training datasets and 0.8564, 6.169 %, 0.100 m and 0.037 m, respectively, for the testing datasets, indicating that the stacked ensemble model has high prediction accuracy for monthly significant wave heights. In addition, the sensitivity and generalization ability of the stacked ensemble model were also analyzed in this study.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122732"},"PeriodicalIF":9.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143473946","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":"Exploring the seasonal impact of photovoltaic roofs on urban land surface temperature under different urban spatial forms","authors":"Zhan Pan ,&nbsp;Lefeng Zhang ,&nbsp;Linxin Dong ,&nbsp;Wei Xu ,&nbsp;Guorong Li ,&nbsp;Yuan Yuan ,&nbsp;Congxiao Wang ,&nbsp;Bailang Yu","doi":"10.1016/j.renene.2025.122724","DOIUrl":"10.1016/j.renene.2025.122724","url":null,"abstract":"<div><div>Photovoltaic roofs (PVRs) are commonly used to reduce urban carbon emissions for improving urban sustainability. However, their potential impact on the urban thermal environment (<span><math><mrow><msub><mi>I</mi><mrow><mi>P</mi><mi>V</mi><mi>R</mi></mrow></msub></mrow></math></span>) remains ambiguous, varying across urban spatial forms and seasons. Based on Amsterdam's local climate zone (LCZ) map, this study aimed to employ remote sensing and geographic information system technology to evaluate the seasonal <span><math><mrow><msub><mi>I</mi><mrow><mi>P</mi><mi>V</mi><mi>R</mi></mrow></msub></mrow></math></span>. Correlation analysis was used to explore the relationships between urban spatial metrics and the <span><math><mrow><msub><mi>I</mi><mrow><mi>P</mi><mi>V</mi><mi>R</mi></mrow></msub></mrow></math></span>. The results indicated <span><math><mrow><msub><mi>I</mi><mrow><mi>P</mi><mi>V</mi><mi>R</mi></mrow></msub></mrow></math></span> exhibited significant variations across seasons and LCZs. The warming effect was most significant in LCZ 5 during spring and LCZ 6 in autumn, whereas the cooling effect was strongest in LCZ 5 during summer and LCZ 8 in winter. In spring and autumn, higher building density and built-up areas intensified the warming effect of PVRs in LCZ 5, LCZ 6, and LCZ 8, whereas greenspace mitigated this effect. According to <span><math><mrow><msub><mi>I</mi><mrow><mi>P</mi><mi>V</mi><mi>R</mi></mrow></msub></mrow></math></span> performance and the its relationship with urban spatial metrics, a cross-scale planning framework is proposed—from prioritizing city-scale implementation areas to specifying building-scale installation locations—to optimize PVR deployment and align renewable energy use with thermal environment improvement.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122724"},"PeriodicalIF":9.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471258","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":"Performance and sustainability assessment of a greenhouse dryer with integrated sunlight protection for mint drying","authors":"Ali Zine ,&nbsp;Abdelouahab Benseddik ,&nbsp;Rachid Saim ,&nbsp;Messaoud Zelaci ,&nbsp;Abdeldjalil Laouini ,&nbsp;Khaled Mansouri ,&nbsp;Mohammed Abdelbassit Kherrafi ,&nbsp;Mohammed Tayeb Oucif Khaled ,&nbsp;Samir Guediri","doi":"10.1016/j.renene.2025.122723","DOIUrl":"10.1016/j.renene.2025.122723","url":null,"abstract":"<div><div>Herbs dried in conventional systems often suffer quality degradation due to direct sunlight exposure and uneven drying. To address this, a novel greenhouse dryer (NGHD) equipped with an integrated drying chamber was evaluated, where the walls consist of two plates separated by a thermal insulating material (sandwich type). The metal plate exposed to the sun is painted black to act as an absorber, while the insulating material helps retain heat inside the drying chamber. This innovative design combines the large capacity of direct dryers with the superior quality of dried materials characteristic of indirect dryers. Experiments, conducted at the University of El Oued, assessed mint drying kinetics, moisture removal, and effective moisture diffusivity. Among nine tested models, the two-term model best described the drying kinetics. The NGHD achieved higher internal temperatures (up to 14 °C without load, 10 °C with load) than the conventional greenhouse dryer (CGHD), reducing drying time by 32 %. Mint's moisture content dropped from 5.45 to 0.03 kg water/kg dry basis in 390 min (NGHD), compared to 570 min (CGHD) and 920 min (sun drying). Effective diffusivity improved by 27 % in the NGHD. Superior mint quality, retaining color and shape, was achieved in the NGHD. Economic analysis showed payback periods of 0.925 years (NGHD) and 1.004 years (CGHD), with carbon credits of 1927.40 $ over 15 years. The NGHD demonstrates its novelty and sustainability by preserving product quality while offering economic and environmental benefits.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122723"},"PeriodicalIF":9.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464062","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":"Effects of isopropanol-n-butanol-ethanol blends on combustion and emissions performance in a spark assisted compression ignition (SACI) engine","authors":"Xianglong Meng ,&nbsp;Fangxi Xie ,&nbsp;Yu Liu ,&nbsp;Xiaoping Li ,&nbsp;Beiping Jiang ,&nbsp;Xiaona Li ,&nbsp;You Zhou","doi":"10.1016/j.renene.2025.122702","DOIUrl":"10.1016/j.renene.2025.122702","url":null,"abstract":"<div><div>To achieve carbon peaking and carbon neutrality goals, it is urgent to improve the thermal efficiency of engines and application of carbon-neutral fuels. The renewability and low emissions of isopropanol-n-butanol-ethanol (I-B-E) blends were receiving increasing attention, and spark-assisted compression ignition (SACI) was a high-efficiency combustion mode suitable for future engines. Therefore, this article designed 11 different I-B-E blends and investigated their differences in combustion and emissions performance under SACI combustion mode. It was found that regardless of the load, there was little difference in the auto-ignition timing of various I-B-E blends. Increasing the content of isopropanol and ethanol in I-B-E resulted in a decrease in the ratio of auto-ignition, COV_IMEP, COV_Pmax and COV_PRRmax. Regardless of the I-B-E composition, there was no significant relationship between COV_CA5-CI and COV_CACI-90. At light load, increasing the energy ratio of ethanol in I-B-E blends increased ITE by 2.11 % compared to n-butanol. After the load increased, regardless of the load, adjusting the composition of the I-B-E blends appropriately can achieve highest ITE and lowest ESFC. Increasing the energy ratio of ethanol and isopropanol in I-B-E blends was beneficial for reducing BSNOx and BSHC emissions. The BSCO emissions were not significantly related to the I-B-E components.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122702"},"PeriodicalIF":9.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143463878","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":"Customized open source renewable energy models validated through PHIL lab experiments","authors":"Fernando Fachini,&nbsp;Hao Chang,&nbsp;Tetiana Bogodorova,&nbsp;Luigi Vanfretti","doi":"10.1016/j.renene.2025.122627","DOIUrl":"10.1016/j.renene.2025.122627","url":null,"abstract":"<div><div>Energy models for power systems require ongoing updates to reflect advancements in equipment technology and the increasing complexity of power electronic devices. This study utilizes a Power Hardware-in-the-Loop (PHIL) experimental setup to validate custom photovoltaic (PV) inverter models, aiming to enhance and expedite the development of advanced renewable energy models. The research compares the performance of a physical inverter with generic Renewable Energy Source (RES) models recommended by the Western Electricity Coordinating Council (WECC). As inverter-based renewable energy sources become more prevalent in modern electrical grids, it is crucial that dynamic models accurately represent their real-world behavior. Accurate models improve our understanding of these energy resources and their interactions with the grid. The proposed model enhancements are designed to better reflect real inverter performance, based on insights from PHIL experiments. These models are developed using the open source Modelica language and the OpenIPSL Modelica Library, allowing integration across various simulation tools without re-implementation. The paper concludes with a thorough assessment, comparing the enhanced models with PHIL experiments on a real PV inverter in a controlled laboratory setting. The study provides the enhanced WECC RES models and validation data as open source resources, facilitating further research and development.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122627"},"PeriodicalIF":9.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487784","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":"Review and analysis of thermal management for proton exchange membrane fuel cell hybrid power system","authors":"Xiaoqing Zhang ,&nbsp;Xiao Ma ,&nbsp;Zhaohuan Zhang ,&nbsp;Haoyu Du ,&nbsp;Zhixuan Wu ,&nbsp;Zhe Li ,&nbsp;Shijin Shuai","doi":"10.1016/j.renene.2025.122716","DOIUrl":"10.1016/j.renene.2025.122716","url":null,"abstract":"<div><div>With the advancement of low-carbon process, fuel cell vehicle has emerged as a promising solution for heavy-duty trucks. Thermal management is a crucial factor affecting the performance of fuel cell hybrid power systems (FCHPS). However, there is currently a lack of comprehensive reviews on both component and system level thermal management, especially in the area of oil cooling. To explore the development status and trend of FCHPS thermal management system in fuel cell vehicle, this paper summarizes the FCHPS architecture, reviews the progress in key components and hybrid system thermal management, and evaluates the feasibility of applying oil cooling in FCHPS. It is found that indirect water cooling remains the dominant cooling method for FCHPS, and integrated thermal management systems are a growing focus of research. The application of high-efficiency and energy-saving components, such as heat pumps, has also received attention. Looking forward, integrated thermal management systems based on oil cooling are expected to achieve high efficiency and compactness, and the research on multi-scale combined thermal management of components and systems is an important research direction. This review fills the current gap in thermal management studies of FCHPS and provides valuable insights for the development of advanced thermal management technologies.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122716"},"PeriodicalIF":9.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464061","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 framework for the design of a direct coupled photovoltaic heating system for remote areas","authors":"Yuxiang Liang ,&nbsp;Yong Li ,&nbsp;Dengjia Wang ,&nbsp;Huilin Zhou ,&nbsp;Qi Zhang ,&nbsp;Yanfeng Liu ,&nbsp;Peng Lei ,&nbsp;Dengwei Jing","doi":"10.1016/j.renene.2025.122696","DOIUrl":"10.1016/j.renene.2025.122696","url":null,"abstract":"<div><div>In order to overcome the challenges associated with clean energy heating in remote areas, promote the further electrification of building space heating and enhance the installed capacity of photovoltaic systems, thereby alleviating the light abandonment in areas with high solar potential, this paper presents a novel design framework, namely the Evangel framework. The objective is to provide design guidance for the configuration of equipment capacity in direct coupled photovoltaic electric heater underfloor heating system with phase change materials in remote areas. A methodology for determining the optimal sizing of photovoltaic modules and electric heaters based on non-guaranteed hours is put forward. Moreover, the analysis considers the average indoor temperature and fluctuations in indoor temperature on typical days, with the objective of optimising the phase change material parameters. The Evangel framework is employed in this study to provide recommended capacity configurations for this system in typical cities in Tibet. The findings of the system performance analyses indicate that a rational phase change material design can markedly enhance the system's heating efficacy in comparison to a system devoid of phase change material. The results demonstrate that the framework can be effectively applied to the design of direct coupled photovoltaic heating system in remote areas, thereby meeting the local heating demand to a certain extent.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122696"},"PeriodicalIF":9.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464063","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}