Solar Energy最新文献

{"title":"On the possibility of achieving high solar fractions for space heating in temperate climates","authors":"Krzysztof Kupiec,&nbsp;Sebastian Pater","doi":"10.1016/j.solener.2025.113789","DOIUrl":"10.1016/j.solener.2025.113789","url":null,"abstract":"<div><div>The paper considers solar space heating in a temperate climate. An algorithm was developed to determine the daily average temperatures and heat fluxes. The calculation algorithm was based on the concept of solar utilizability. The influence of various process parameters on heating performance was studied: the area of the solar collectors, the volume of the storage tank, the angle of inclination of the collectors and the maximum temperature of the tank water. Special attention was paid to the discharge of excess heat from the tank outside the considered system during the summer. It was found that this process does not deteriorate the efficiency of building heating, characterized by the solar fraction parameter, because lowering the tank water temperature intensifies heat transfer in the collectors and reduces heat loss from the tank to the ground. Changing the collector inclination angle from 40° to 90° with a surface area exceeding 20 m² can reduce the size of the tank almost by half if the maximum water temperature in the tank is below 90 °C. It was also found that when heating rooms in temperate climates, it is possible to achieve full coverage of heat demand by solar energy. The results of own calculations and those obtained from the TRNSYS application were compared.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"300 ","pages":"Article 113789"},"PeriodicalIF":6.0,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144687122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coupled effects of strain and halogen substitution on the structural, optoelectronic, and photovoltaic characteristics of Pb-Free Cs2AgInBr6: Density functional theory approach using HSE, BSE, and numerical methods","authors":"Khalid Said ,&nbsp;Jihane Znaki ,&nbsp;Fatima Zahra Znaki ,&nbsp;Mohamed Adadi ,&nbsp;Hassane Moustabchir ,&nbsp;Samir Chtita ,&nbsp;Adil Touimi Benjelloun ,&nbsp;Souad Elkhattabi","doi":"10.1016/j.solener.2025.113782","DOIUrl":"10.1016/j.solener.2025.113782","url":null,"abstract":"&lt;div&gt;&lt;div&gt;The discovery of lead-free halide double perovskites &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mtext&gt;Cs&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mtext&gt;AgInBr&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; and &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mtext&gt;Cs&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;mtext&gt;AgInBr&lt;/mtext&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mtext&gt;Cl&lt;/mtext&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; offers a promising avenue for the development of new absorber materials in solar cells. In this study, ab initio calculations based on density functional theory (DFT) are performed to investigate the impact of biaxial strain from +3% to -3% on the structural, optoelectronic, and photovoltaic properties of these compounds. Negative formation energies confirm their thermodynamic stability, enhanced by the partial substitution of bromine for chlorine. The band gap evolution under biaxial strain reveals high flexibility, suggesting a strong potential for adaptation to meet the requirements of targeted applications. Both structures exhibit high absorption coefficients (of the order of &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;mspace&gt;&lt;/mspace&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mtext&gt;cm&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mo&gt;−&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;) in the UV-visible region, and their absorption spectra show a redshift and peak broadening under stress, indicating an improvement in optoelectronic efficiency. In addition, the static dielectric constant (SDC) increased depending on biaxial compressive strain for &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mtext&gt;Cs&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mtext&gt;AgInBr&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;. Finally, The photovoltaic performances of &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mtext&gt;Cs&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mtext&gt;AgInBr&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; and &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mtext&gt;Cs&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mtext&gt;AgInBr&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;mtext&gt;Cl&lt;/mtext&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; show significant enhancement, particularly under the application of low compressive strain, a maximum power conversion efficiency of 25.50% is achieved for &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mtext&gt;Cs&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mtext&gt;AgInBr&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; under a -2% biaxial strain. These results highlight the impact of biaxial strain on the optoelectronic properties and performances of &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mtext&gt;Cs&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mtext&gt;AgInBr&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; and &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mtext&gt;Cs&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mtext&gt;AgInBr&lt;/mtext&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;mtext&gt;Cl&lt;/mtext&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;, opening promis","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"299 ","pages":"Article 113782"},"PeriodicalIF":6.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144678931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep neural networks model for accurate photovoltaic parameter estimation under variable weather conditions","authors":"Salem Batiyah ,&nbsp;Ahmed Al-Subhi ,&nbsp;Osama Elsherbiny ,&nbsp;Obaid Aldosari ,&nbsp;Mohammed Aldawsari","doi":"10.1016/j.solener.2025.113734","DOIUrl":"10.1016/j.solener.2025.113734","url":null,"abstract":"<div><div>Estimating photovoltaic (PV) parameters is essential for accurate modeling and performance prediction of PV systems. This paper presents a deep neural network-based approach for determining the PV parameters via information from datasheets. The proposed technique is trained using thousands of data points generated from the PV module block in the MATLAB/Simulink library. The effectiveness of the model is evaluated using metrics such as Mean Absolute Percentage Error (MAPE), the coefficient of determination (R-squared), and Root Mean Square Error (RMSE). By utilizing the inherent pattern recognition and learning capabilities of neural networks, the model is able to estimate the PV parameters accurately. To evaluate the effectiveness of the proposed approach, the performance is subjected to different assessments including testing data, experimental data and commercial PV modules under standard test conditions (STC) as well as different weather conditions. The performance has been also compared with various recent algorithms reported in the literature. The results obtained from all assessments provide insights into the performance of the proposed approach. The findings demonstrate the effectiveness of the neural network-based method in estimating PV parameters, showcasing its potential as a viable alternative to traditional estimation techniques.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"299 ","pages":"Article 113734"},"PeriodicalIF":6.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144678933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 new approach for separating copper, tin, and lead from photovoltaic ribbon wastes","authors":"Qingfeng Xiong ,&nbsp;Zhenyu Yuan ,&nbsp;Yakun Zhang ,&nbsp;Zhengjie Chen ,&nbsp;Kuixian Wei ,&nbsp;Wenhui Ma","doi":"10.1016/j.solener.2025.113810","DOIUrl":"10.1016/j.solener.2025.113810","url":null,"abstract":"<div><div>Recovery of valuable lead (Pb), copper (Cu), and tin (Sn) from photovoltaic (PV) ribbon waste is essential for the sustainability of the PV industry. In this study, a two-step physical process comprising molten separation and vacuum distillation was proposed and used to recover Cu, Sn, and Pb from PV ribbon waste. First, Sn–Pb coatings (melting point: 451–456 K) were effectively recovered from Cu substrates (melting point: 1356.4 K) through melt separation at 723 K for 4 h, yielding a Sn–Pb alloy with low Cu contamination (1.23 wt%) and Cu strips with minimal residual Sn (1.89 wt%) and Pb (1.23 wt%). Second, the Cu-containing Sn–Pb alloy at 1423 K and 50 ± 10 Pa was selectively volatilized through vacuum distillation, yielding ultra-pure Pb (Cu: 8 ppm, Sn: 66 ppm) and 99.7 % separation efficiency. Cu and Sn remained in the residual alloys due to their comparable vapor pressures. This work provides a green, sustainable method for separating Pb, Cu, and Sn from photovoltaic strip wastes without generating carbon, waste acid, and waste gas throughout the entire production process, which is in line with the goal of a circular economy.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"299 ","pages":"Article 113810"},"PeriodicalIF":6.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144678932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal management of photovoltaic systems: a comprehensive review of cooling strategies","authors":"Muhammad Sohaib Tahir ,&nbsp;Xue Dong ,&nbsp;Muhammad Mansoor Khan ,&nbsp;Ijaz Ur Rehman","doi":"10.1016/j.solener.2025.113811","DOIUrl":"10.1016/j.solener.2025.113811","url":null,"abstract":"<div><div>The photovoltaic system is an effective way to convert solar irradiation into electricity in comparison to other renewable energy sources. The solar cell performance can be changed by several factors, including solar cell material, solar radiation, and operating conditions (ambient temperature, dust, humidity, and shading). A high working temperature of solar cells is the most important variable that directly degrades the performance of power generation and the life span of a photovoltaic system. The efficiency of power generation for the photovoltaic system can be enhanced by implementing different cooling techniques which include active cooling, passive cooling, and hybrid cooling. This paper presents a comprehensive analysis of various cooling methods for flat plate PV systems, comparing them with alternative techniques and discussing each method’s challenges, limitations, efficiencies, and power generation outputs. PV panels can enhance efficiency through active water-cooling techniques such as water-spraying, water-flowing, or nanofluids. These methods regulate the temperature of solar cells, boosting efficiency by up to 15–20%. Active air-cooling can improve efficiency by up to 2.10%, whereas water-cooling can increase efficiency by 13–18%. PV panels can also benefit from passive cooling techniques like natural air ventilation, water evaporation, and PCM, which can raise electrical efficiency by up to 16.5%, compared to the 12%–14% average efficiency achieved with air or water-cooling methods. Hybrid PV systems employ both active and passive cooling techniques for effective electrical and heat generation, increasing efficiency by up to 19.4%.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"299 ","pages":"Article 113811"},"PeriodicalIF":6.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144678935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of solar radiation and sol-air temperatures on curved envelopes of air-supported membrane buildings","authors":"Chengyang Huang ,&nbsp;Hanbing Chang ,&nbsp;Yuying Sun ,&nbsp;Wei Wang ,&nbsp;Wenzhe Wei","doi":"10.1016/j.solener.2025.113791","DOIUrl":"10.1016/j.solener.2025.113791","url":null,"abstract":"<div><div>Air-supported membrane (ASM) envelopes, characterized by their curved shape and energy-saving, carbon-reducing advantages, have found widespread applications in gymnasiums, exhibition halls and industrial warehouses. However, in the cooling load calculations of ASM buildings, the existing Sol-Air temperatures, which assume uniform solar irradiance received by the envelope at different locations in a given orientation, fails to accurately depict the impact of solar radiation on the heat transfer of curved envelops, leading to inaccuracies in cooling load calculation. To address this gap, this paper develops a simplified mathematical model capable of quantifying the amount of solar irradiance received by curved envelopes of ASM buildings without simulation, and reveals the laws of solar irradiance received by the ASM envelope at different times and spaces. Finally, new Sol-Air temperatures were proposed for use in cooling load calculations specifically for ASM buildings. Results confirmed the accuracy of the developed mathematical model with an error margin within 8.6 %. The solar irradiance received by ASM envelopes can deviate up to 40.1 % and 68.6 % when compared to horizontal and vertical surfaces respectively. The new Sol-Air temperatures are instrumental for precise heat transfer calculations in ASM envelopes, reducing the error by 19.9 %−27.8 %. Hence, this study provides valuable references for improving the calculation methods of ASM buildings cooling load.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"299 ","pages":"Article 113791"},"PeriodicalIF":6.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144678936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 incremental photovoltaic power prediction model considering online updating and catastrophic forgetting","authors":"Qian Guo ,&nbsp;Chunxue Zhao ,&nbsp;Xiaoyong Gao","doi":"10.1016/j.solener.2025.113787","DOIUrl":"10.1016/j.solener.2025.113787","url":null,"abstract":"<div><div>Accurate photovoltaic power generation forecasts provide valuable and reliable insights for power system scheduling. In real-world scenarios, forecasting models need to be frequently updated to mitigate performance degradation caused by evolving input data. However, frequent updates can lead to catastrophic forgetting of previously learned knowledge, thereby reducing the predictive accuracy of the updated model. To address this issue, this paper proposes an online-updated multivariate time series predicting model, the PTER model, which integrates PatchTST architecture with DER++ incremental learning. The model employs the patch token strategy to capture the multi-scale periodic characteristics of PV power sequences and captures multivariate dependencies through the self-attention mechanism. And it utilizes experience replay to mitigate catastrophic forgetting during online updates. Consequently, the PTER improves the accuracy of PV power generation prediction and enhances adaptability to abnormal weather conditions. The study focuses on a PV power generation unit at a power station in Xinjiang, simulating the model evolution process under real-time data updates through experimental design. Compared to PatchTST, Transformer, Informer, and Autoformer models, the PTER achieves a maximum reduction of 61.05 % in mean absolute error and a 57.29 % reduction in root mean square error, confirming its superior predictive accuracy. Furthermore, DER++ improves the RMSE by 13.71 %, 14.48 %, and 11.11 % compared to incremental learning EWC, LwF, and MAS, respectively. Under cloudy weather conditions, the PTER model exhibits the lowest mean absolute error and root mean square error among all evaluated models, indicating that it is more adaptable and generalizable to sudden changes in weather conditions.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"299 ","pages":"Article 113787"},"PeriodicalIF":6.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144678934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 evaluation of solar heat systems integrated with seasonal heat storage across varied operating modes for building applications: The case of Netherlands","authors":"Zain Ul-Abdin,&nbsp;Olindo Isabella,&nbsp;Rudi Santbergen","doi":"10.1016/j.solener.2025.113772","DOIUrl":"10.1016/j.solener.2025.113772","url":null,"abstract":"<div><div>In this study, a modeling methodology is presented for evaluating the performance of a hybrid system integrating different types of solar collectors, namely photovoltaic (PV), glazed flat plate solar thermal (ST) and unglazed photovoltaic-thermal (PVT) collectors to harvest solar energy. Further, the system is integrated with a seasonal storage that is an aquifer thermal energy storage (ATES) system, a heat exchanger and a heat pump (HP) to provide heating, including space heating (SH), domestic hot water (DHW), as well as cooling. The investigation considers various operational modes depending on the climate conditions and building characteristics. The study focuses on comparison of solar collectors in realistic scenarios, examining heating type and insulation levels. Real energy consumption data considering five residential buildings in Amsterdam is employed for the analysis. Annual simulations for the considered buildings are conducted for SH and DHW coverage, along with cooling. The results indicate that ATES combined with glazed ST collectors demonstrates superior heat storage while HP with PV/ST combination and floor heating achieves an average coefficient of performance (COP) of 6.09 for both SH and DHW. In contrast, HP combined with PVTs shows the lowest performance, with a COP of around 5 when used with radiator heating. Additionally, majority of the demand is covered using HP storage mode with seasonal storage and HP while building insulation plays a crucial role.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"299 ","pages":"Article 113772"},"PeriodicalIF":6.0,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 optimization of solar-wind integrated energy system with hybrid energy storage","authors":"Yu Xu,&nbsp;Jianhui Zhao","doi":"10.1016/j.solener.2025.113794","DOIUrl":"10.1016/j.solener.2025.113794","url":null,"abstract":"<div><div>A hybrid energy storage integrated energy system (H-IES) was proposed to simultaneously supply electricity, heating, and cooling to a representative energy consumption center (ECC). The system integrates wind–solar power, a dual-organic Rankine cycle (DORC), an ejector refrigeration cycle (ERC), and thermal/hydrogen/CO₂-based storage. Compared to the conventional ORC, the DORC demonstrates superior thermos-economic performance under high-temperature conditions, with toluene identified as the optimal working fluid. Parametric analysis reveals strong nonlinear and coupled interactions among design parameters, highlighting the necessity of balancing efficiency, cost, and storage scale. Results show that among four metaheuristic algorithms, the grey wolf optimizer (GWO) achieves the highest convergence efficiency and economic benefit (NPV = 122.6 M$). Multi-objective optimization using MOGWO, combined with TOPSIS analysis, yields a robust optimal solution (CC = 0.8292) under varying NPV weightings. Under optimal design case, the system delivers 124.72 GWh annually, with 29.71 % renewable efficiency, 64.63 % energy supply rate, and 99.46 kt CO₂ reduction. By incorporating the energy storage system (ESS), the H-IES effectively mitigates the intermittency of renewable energy, reducing the generation fluctuation rate from 10.31 % to 8.37 %, while keeping the curtailment rate of renewable energy below 1 %. Even under a high discount rate (r = 0.08), the profitability index (PI &gt; 1) confirms the economic viability and investment resilience of H-IES.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"300 ","pages":"Article 113794"},"PeriodicalIF":6.0,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Photovoltaic module with encapsulant system based on recyclable composite material","authors":"Gorka Imbuluzqueta,&nbsp;Francisco J. Cano,&nbsp;Unai Iglesias,&nbsp;Jon Aizpurua,&nbsp;Juan M. Hernández,&nbsp;Naiara Yurrita,&nbsp;Werther Cambarau,&nbsp;Oihana Zubillaga","doi":"10.1016/j.solener.2025.113799","DOIUrl":"10.1016/j.solener.2025.113799","url":null,"abstract":"<div><div>An initial approach for a photovoltaic module with enhanced chemical recyclability and its recycling process is presented. The module encapsulant system consisted of a glass fiber reinforced composite material with cleavable epoxy matrix and a polymeric frontsheet as an additional protection for the composite. Using vacuum assisted resin infusion process, lab-size modules with monocrystalline back-contact cells were manufactured with the mentioned encapsulation. The performance stability under thermal cycling and ultraviolet exposure was acceptable, whereas in damp-heat conditions the electrical performance loss was slightly more pronounced. This was attributed to the effect of humidity in the cleavable groups of the resin, leading to an optically non-homogeneous composite material. Regarding the recyclability in mild acid conditions, the effect of process time, temperature and acetic acid concentration was analyzed. A suitable solvolysis window was defined leading to wafer, reinforcement and frontsheet separation and recovery. The study concluded that damp-heat stability should be optimized considering the features of the epoxy matrix in terms of a balance between durability in humid conditions and recyclability. Further, advancing in the recycling process would focus on parameter optimization and their influence in the nature and quality of recovered materials and components.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"300 ","pages":"Article 113799"},"PeriodicalIF":6.0,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144665657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}