Solar Energy最新文献

{"title":"A satellite-based novel method to forecast short-term (10 min − 4 h) solar radiation by combining satellite-based cloud transmittance forecast and physical clear-sky radiation model","authors":"Bing Hu ,&nbsp;Huaiyong Shao ,&nbsp;Changkun Shao ,&nbsp;Wenjun Tang","doi":"10.1016/j.solener.2025.113376","DOIUrl":"10.1016/j.solener.2025.113376","url":null,"abstract":"<div><div>Short-term forecasting of solar radiation is crucial for grid integration of solar photovoltaic (PV) power and for grid scheduling and optimization. Enhancing the interpretability of satellite-based short-term forecasts that rely on artificial intelligence is a research focus. In this study, we presented a novel approach to forecast short-term solar radiation by combining satellite-based cloud transmittance forecast and physical clear-sky radiation forecast. The innovation of this study lies in its foundation on atmospheric physics principles, specifically forecasting cloud transmittance and distinguishing between cloudy and clear skies. The cloud transmittance prediction was conducted based on Himawari-8 observations using widely adopted and well-known convolutional neural network (CNN) and long short-term memory (LSTM) networks, while the clear-sky radiation forecast can be conducted with clear-sky radiation model or prediction based on numerical weather prediction (NWP). Compared to other satellite-based baseline forecasting frameworks, the accuracy of our developed framework for short-term forecasting of solar radiation is improved, with an average root mean square error of about 62 W/m² over 116 sites and an average relative root mean square error of about 14.36 % with a forecast horizon of 10 min. When the forecast horizon was increased to ranging from 20 min to 4 h, the corresponding average root mean square error increased from 72.16 W/m² to 159.75 W/m², and the relative root mean square error increased from 16.71 % to 37 %. This work can forecast solar radiation maps and assist in the flexible regulation of solar PV generation.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"290 ","pages":"Article 113376"},"PeriodicalIF":6.0,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471195","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":"Reducing the impact of climate change on renewable energy systems through wind–solar blending: A worldwide study with CMIP6","authors":"Xiaokang Liu ,&nbsp;Hongrong Shi ,&nbsp;Dazhi Yang ,&nbsp;Xiaolong Chen ,&nbsp;Xiang'ao Xia ,&nbsp;Yang Xie","doi":"10.1016/j.solener.2025.113365","DOIUrl":"10.1016/j.solener.2025.113365","url":null,"abstract":"<div><div>Mitigating climate change has hitherto been a pressing issue for global sustainable development. Climate change can alter the frequency and intensity of extreme weather events, which in turn impacts solar and wind power generation. This study employs data from 10 CMIP6 models to estimate potential changes in global wind and photovoltaic (PV) power generation under three different Shared Socioeconomic Pathways (SSPs) during the critical period for global carbon neutrality (2040–2064). Results indicate that in Central Europe, PV potential (PV_POT) increases by 8%, while extreme low PV output days (PV10) decrease by 10 days under SSP245. Conversely, in the Arabian Peninsula, PV_POT decreases by 4% with PV10 increasing by 16 days. For wind power (WP), significant reductions up to 35% are observed in regions like Southern Russia or the Eastern United States, while WP increases by 40% in areas such as the Sahel or Central South America. Notably, the wind–solar hybrid system effectively mitigates extreme low-output events, with combined output variability reduced by 0.04 in Central Europe. The SSP585 scenario demonstrates favorable trends for wind power, with increases up to 34% in Northern India. These findings emphasize the importance of integrating hybrid systems to construct a resilient energy supply chain and adapt to spatially heterogeneous climate impacts.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"290 ","pages":"Article 113365"},"PeriodicalIF":6.0,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471194","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 and electrical performance analysis of nanofluid beam splitting PV/T system based on full coupling of light heat and electricity","authors":"Jianqing Lin,&nbsp;Xianglong Chen,&nbsp;Lei Han,&nbsp;Gang Wang","doi":"10.1016/j.solener.2025.113363","DOIUrl":"10.1016/j.solener.2025.113363","url":null,"abstract":"<div><div>Optimizing the system structure and introducing beam splitting technology are effective strategies for enhancing the operational performance of concentrating solar photovoltaic/thermal (PV/T) systems. In this study, a two-stage concentrating PV/T system based on beam splitting is proposed, and the system is analyzed using a fully coupled optical-thermal-electrical method. First, the reliability of the established discrete ordinates (DO) radiation model is verified using the Monte Carlo Ray Tracing (MCRT) method. Next, the obtained quantitative results are applied as a volumetric heat source in a 3D flow heat transfer model. Finally, the operational characteristics of the two-stage concentrating nanofluid PV/T system under various operating conditions are investigated parametrically. The results demonstrate that the radiative fluxes obtained from the 2D DO radiation model are in good agreement with those derived from the MCRT method. Under the series operating condition of the 3D flow heat transfer model, the electrical efficiency of the PV subsystem is 22.13 %, the thermal efficiency of the integrated system is 71.85 %, and the exergy efficiency is 20.77 %, with a nanofluid inlet temperature of 25 °C and an inlet mass flow rate of 0.03 kg/s. This study also evaluates the system’s operating efficiency under series and parallel configurations, showing that the series configuration achieves higher exergy efficiency, while the parallel configuration enhances the thermal efficiency of the system.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"290 ","pages":"Article 113363"},"PeriodicalIF":6.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143445949","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":"Experimental impacts of transparency on strawberry agrivoltaics using thin film photovoltaic modules under low light conditions","authors":"Uzair Jamil ,&nbsp;Joshua M. Pearce","doi":"10.1016/j.solener.2025.113375","DOIUrl":"10.1016/j.solener.2025.113375","url":null,"abstract":"<div><div>This study determines the effects of varying lighting conditions from agrivoltaics on strawberry growth and yield by investigating strawberry production under thin-film cadmium telluride PV modules. The goal of this study was to assess the impact of varying PV transparency on strawberry yield and growth under Cd-Te PV modules, and to evaluate the potential of agrivoltaics as a sustainable solution for strawberry production in northern climates. Seven levels of transparency (10%, 30%, 40%, 50%, 60%, 70%, and 80%) were tested, which resulted in varying photosynthetically active radiation (PAR) values under each PV module type. Modules were tested in a controlled environment designed to replicate outdoor conditions of London Ontario, with regulated temperature and lighting. Strawberry fresh weight, plant height, leaf count, and flower count were quantified. The results indicate that strawberries grown under 70% transparency PV exhibited a fresh weight 140.6% of the average control. Additionally, 40% transparency maintained a greater than 80% yield making them viable in all regions with agrivoltaics yield mandates. Increased transparency in PV modules also correlated with a higher number of leaves, while height correlation was complex. If Canadian strawberry farms converted to agrivoltaics, between 595 and 1,786 GWh of solar electricity could be generated and globally strawberry agrivoltaics offer an electrical potential ranging from 58 to 173 TWh. The adoption of agrivoltaics in the strawberry sector could facilitate energy self-sufficiency and transform it into a net electricity exporter, generating additional revenue for farmers.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"290 ","pages":"Article 113375"},"PeriodicalIF":6.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143454160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optoelectronic evaluation of SrMnO3 cubic perovskite for prospective visible light solar photovoltaic application","authors":"N.P. Vikas ,&nbsp;Manisha Kar ,&nbsp;Archana Hota ,&nbsp;Sougat Purohit ,&nbsp;Salila Kumar Sethy ,&nbsp;Kamatchi Jothiramalingam Sankaran ,&nbsp;Ravi P. Srivastava ,&nbsp;Amritendu Roy","doi":"10.1016/j.solener.2025.113334","DOIUrl":"10.1016/j.solener.2025.113334","url":null,"abstract":"<div><div>Next-generation solar cell materials with superior optoelectronic and photovoltaic properties must circumvent the toxicity and degradation issues of hybrid lead halide perovskites. In this regard, transition metal oxide perovskites with favourable optoelectronic properties are of significant relevance. In this work, we report a combined theoretical–experimental investigation into the optoelectronic properties of cubic-perovskite, SrMnO₃ (SMO) for prospective visible-light photovoltaic application. Using first-principles density functional theory calculations, we show that SMO with cubic symmetry demonstrates a direct bandgap character (∼0.62 eV), exceptional absorption behaviour (∼10⁵ cm⁻¹ in the visible range), substantial dielectric constant (∼11) and a reasonably small exciton binding energy (∼44 meV) promising a sizeable photovoltaic response (PCE_SLME ∼ 16 %). Accordingly, thin films of SMO were grown on fluorine-doped tin oxide (FTO) coated glass substrate using pulsed laser deposition (PLD) technique. Structural characterization demonstrated phase pure SMO with cubic symmetry. Room-temperature Hall measurement allowed the determination of the nature (p-type) and concentration (1.37 × 10¹² cm⁻³) of majority charge carriers, conductivity (5.56 × 10⁻⁶ S/cm), and carrier mobility (24.5 cm²/V·s) which are reasonably comparable to those of archetypal halide perovskite, CH₃NH₃PbI₃ (MAPbI₃). Ultraviolet photoelectron spectroscopy further allowed the determination of energies corresponding to valence and conduction band edges, crucial for device fabrication. Initial device characterization demonstrates small yet finite photovoltaic response, suggesting the requirement of thorough optimization of the device fabrication parameters and development of a suitable hole transport layer.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"290 ","pages":"Article 113334"},"PeriodicalIF":6.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437993","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":"Leveraging large-scale aerial data for accurate urban rooftop solar potential estimation via multitask learning","authors":"Alessia Boccalatte ,&nbsp;Ankit Jha ,&nbsp;Jocelyn Chanussot","doi":"10.1016/j.solener.2025.113336","DOIUrl":"10.1016/j.solener.2025.113336","url":null,"abstract":"<div><div>Convolutional Neural Networks (CNNs) have shown remarkable success in remote sensing tasks. In urban contexts, recent research has utilized CNNs to generate rooftop segmentation masks and determine rooftop section orientation from aerial images. This cost-effective approach is especially valuable for large-scale rooftop solar potential estimations when detailed three-dimensional data is unavailable. This research introduces SolarMTNet, a novel multitask dense-prediction network designed for rooftop solar potential prediction using only aerial images. Unlike previous studies that focus on small manually labeled datasets (approximately 2000 scenes) and only segment rooftop orientations while typically assuming constant slopes, SolarMTNet simultaneously segments both orientations and slopes, enhancing the accuracy of solar potential estimations by 40%. SolarMTNet leverages a large, automatically labeled dataset (up to 280000 scenes) created from open-source Swiss geospatial and aerial data, significantly improving generalization. The model is trained on rooftop data from the Zurich and Geneva cantons and cross-validated on the Canton of Vaud, Switzerland. The results show a mean Intersection over Union (mIoU) of 0.67 for orientation segmentation and 0.40 for slope segmentation. The estimated irradiance exhibits an absolute mean percentage difference of only 5% compared to real solar cadaster data derived from detailed model-based calculations, primarily due to shading issues. Finally, SolarMTNet has also been tested in different geographical areas outside Switzerland (France and Germany), demonstrating consistent performance across diverse regions and pixel resolutions.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"290 ","pages":"Article 113336"},"PeriodicalIF":6.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143446062","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":"Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps","authors":"J. Rabault ,&nbsp;M.L. Sætra ,&nbsp;A. Dobler ,&nbsp;S. Eastwood ,&nbsp;E. Berge","doi":"10.1016/j.solener.2025.113337","DOIUrl":"10.1016/j.solener.2025.113337","url":null,"abstract":"<div><div>In the present work, we collect solar irradiance and atmospheric condition data from several products, obtained from both numerical models (ERA5 and NORA3) and satellite observations (CMSAF-SARAH3). We then train simple supervised Machine Learning (ML) data fusion models, using these products as predictors and direct in-situ Global Horizontal Irradiance (GHI) measurements over Norway as ground-truth. We show that combining these products by applying our trained ML models provides a GHI estimate that is significantly more accurate than that obtained from any product taken individually. Using the trained models, we generate a 30-year ML-corrected map of GHI over Norway, which we release as a new open data product. Our ML-based data fusion methodology could be applied, after suitable training and input data selection, to any geographic area on Earth.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"290 ","pages":"Article 113337"},"PeriodicalIF":6.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428097","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":"Investigating the impact of copper precursors on the photovoltaic performance of Cu2SnS3 thin film-based solar cells toward an enhanced power conversion efficiency of 9.85%","authors":"Elarbi Laghchim ,&nbsp;Abderrahim Raidou ,&nbsp;Jamal Zimou ,&nbsp;Jaouad Mhalla ,&nbsp;Abdellatif El-Habib ,&nbsp;Khalid Fareh ,&nbsp;Atika Fahmi ,&nbsp;Khalid Nouneh ,&nbsp;M'hamed Taibi ,&nbsp;Mounir Fahoume","doi":"10.1016/j.solener.2025.113341","DOIUrl":"10.1016/j.solener.2025.113341","url":null,"abstract":"<div><div>In this study, we explored the effect of copper precursors on the photovoltaic properties of eco-friendly and earth-abundant Cu₂SnS₃ (CTS) thin films deposited by the easy and economical SILAR method. Comprehensive characterization revealed the critical role of copper precursors in shaping the structural, morphological, optical, and electrical properties of CTS films. XRD, Raman spectroscopy and HRTEM revealed the successful formation of the Cu₂SnS₃ phase, with the coexistence of the tetragonal and cubic structures. SEM images demonstrated considerable impact of the copper precursor on the morphology of the CTS films, revealing good surface compactness when using the acetate precursor. A uniform Cu-Sn-S distribution with a value close to the ideal stoichiometry of 2:1:3 of Cu₂SnS₃ is verified by EDX. The direct optical bandgap energy showed a correlation with the copper precursor, giving values between 1.37 eV and 1.45 eV, ideal for use as absorber layers. Electrical Hall effect measurements carried out on the grown CTS layers exhibited a Hall mobility of 0.38 cm²/V.s for copper sulfate and 0.592 cm²/V.s for chloride and 3.56 cm²/Vs for acetate with p-type conductivity and a carrier concentration between 2.688 x 10²¹cm⁻³ and 6.672 x 10²¹ cm⁻³. Furthermore, the photovoltaic performance of solar cells based on CTS thin films, as prepared in this study, was measured using the SCAPS-1D simulator. The solar cell-based CTS films fabricated using the copper acetate precursor achieved an impressive power conversion efficiency (PCE) of 9.85 % and an improved open-circuit voltage (V_oc) of 739.85 mV. These results highlight an innovative and cost-effective solution for the production of scalable solar cells using copper acetate as a precursor in the SILAR synthesis of CTS thin films, avoiding the high costs and technical challenges associated with vacuum deposition techniques.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"290 ","pages":"Article 113341"},"PeriodicalIF":6.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428096","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":"Prediction of potential induced degradation for TOPCon PV modules working in field based on accelerated stress testing","authors":"Zhiwei Li ,&nbsp;Kai Yu ,&nbsp;Le Wang ,&nbsp;Jian Huang ,&nbsp;Xilian Sun ,&nbsp;Jikui Zhang ,&nbsp;Wei Xia ,&nbsp;Yaokai Liu ,&nbsp;Jifan Gao ,&nbsp;Lang Zhou","doi":"10.1016/j.solener.2025.113340","DOIUrl":"10.1016/j.solener.2025.113340","url":null,"abstract":"<div><div>Potential induced degradation (PID) is a serious concern for photovoltaic (PV) modules operating in fields with high system voltage, humidity and temperature, which may potentially lead to substantial performance losses. In this study, we developed a methodology to predict the field degradation of PID based on the dual-glass modules of tunnel oxide passivated contracts (TOPCon) cells. The Arrhenius equations have been applied to fit the PV power degradation rates using the PID data from steady-state test chambers with a light intensity of 800 W/m². In addition, the acceleration factors (AF), which is defined as the ratio of power degradation rate in the accelerated test to that in the field, have been evaluated for different temperatures. The methodology has been applied to other multiple typical field conditions, including the medium temperature/humidity East-China, the high temperature/humidity South-China, the high temperature dry Middle East, and the high humidity offshore fields. The predicted power degradation rates from PID in 30 years for the South-China and Middle East areas are 1.57 % and 1.13 %, respectively. In addition, the power degradation from water bath PID in 30 years, as fitted by exponential model, is roughly 4.01 % at most.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"290 ","pages":"Article 113340"},"PeriodicalIF":6.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fault detection in photovoltaic systems using unmanned aerial vehicle-captured images and rough set theory","authors":"C.V. Prasshanth ,&nbsp;S. Badri Narayanan ,&nbsp;Naveen Venkatesh Sridharan ,&nbsp;Sugumaran Vaithiyanathan","doi":"10.1016/j.solener.2025.113348","DOIUrl":"10.1016/j.solener.2025.113348","url":null,"abstract":"<div><div>The growing reliance on photovoltaic (PV) systems as a sustainable energy source is challenged by performance degradation due to faults, necessitating efficient fault detection methods. This study proposes an AI-driven approach using unmanned aerial vehicle (UAV)-captured images for automated PV module inspection. Advanced feature extraction techniques, including Texture Analysis, Fast Fourier Transform (FFT), Grey-Level Co-occurrence Matrix (GLCM), Grey-Level Difference Method (GLDM), and Discrete Wavelet Transform (DWT), were employed to analyze image data. A Rough Set-Based Rule Classifier was optimized, achieving 100% accuracy when paired with DWT features. Additionally, data augmentation techniques were integrated to enhance model robustness. The proposed method improves PV system maintenance by enabling precise, non-destructive fault detection, ensuring higher efficiency and reliability for solar energy adoption.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"290 ","pages":"Article 113348"},"PeriodicalIF":6.0,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419346","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}