Solar Energy最新文献_第9页

Hybrid solar collectors based on Bragg-mirror spectral splitting for simultaneous heat and electricity generation 基于Bragg-mirror光谱分裂的混合太阳能集热器，用于同时加热和发电

IF 6 2区工程技术

Solar Energy Pub Date : 2026-03-01 Epub Date: 2025-12-31 DOI: 10.1016/j.solener.2025.114288

Botho Lehmann, Gan Huang

{"title":"Hybrid solar collectors based on Bragg-mirror spectral splitting for simultaneous heat and electricity generation","authors":"Botho Lehmann, Gan Huang","doi":"10.1016/j.solener.2025.114288","DOIUrl":"10.1016/j.solener.2025.114288","url":null,"abstract":"<div><div>Spectral-splitting photovoltaic-thermal (PVT) solar collectors offer a pathway for simultaneous electricity and high-temperature heat generation from solar energy. In this study, we experimentally investigate a PVT solar collector incorporating a dielectric Bragg mirror as a spectral-splitting optical reflector. The solar collector spectrally separates the solar spectrum by reflecting part of the spectrum (< 870 nm) to a concentrated gallium arsenide (GaAs) photovoltaic cell and transmitting the rest of the spectrum (> 870 nm) to a solar thermal absorber. The resulting spectrum splitting achieves a reflectance of 91.4 % above the GaAs bandgap and a transmittance of 79.7 % below it. Under concentrated illumination (geometric factor of 100) and based on the total incident solar energy (full-spectrum performance), the GaAs cell has an electrical efficiency of 6.5 % operating at 36.6 °C, while the solar thermal absorber achieves a thermal capture efficiency of 8.8 % at 80 °C. The stagnation temperature of the solar thermal absorber, measured experimentally without heat extraction, reaches 209.1 °C. Both electrical and thermal efficiencies remain limited, primarily due to optical losses arising from misalignment and interference-related reflection losses. The Bragg mirror exhibits negligible absorption and self-heating, confirming its suitability for spectral splitting under concentrated illumination. While such optical losses remain challenges for both the indoor prototype and potential outdoor implementations, this work highlights a strategy for enhancing hybrid solar energy utilisation.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"306 ","pages":"Article 114288"},"PeriodicalIF":6.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145882693","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}

引用次数: 0

Thermal and chromatic analysis for scalable photovoltaic hotspot detection 可扩展光伏热点检测的热与色分析

IF 6 2区工程技术

Solar Energy Pub Date : 2026-03-01 Epub Date: 2026-01-02 DOI: 10.1016/j.solener.2025.114227

Waqas Ahmed

{"title":"Thermal and chromatic analysis for scalable photovoltaic hotspot detection","authors":"Waqas Ahmed","doi":"10.1016/j.solener.2025.114227","DOIUrl":"10.1016/j.solener.2025.114227","url":null,"abstract":"<div><div>This study introduces a lightweight, interpretable framework for real-time PV fault detection using infrared (IR) thermography and perceptually uniform Lab* color space analysis. Unlike conventional methods reliant on high-dimensional texture or deep learning features, the proposed approach extracts just 80 statistical descriptors per image focused on luminance and chromaticity via patch-wise segmentation of IR thermographs. A suite of shallow classifiers (SVM, KNN, Decision Tree, Naive Bayes, and Ensemble) was trained on Lab*-derived features, achieving up to 95.2 % testing accuracy with sub-6-second training latency. SVM and KNN demonstrated superior diagnostic precision across healthy, hotspot, and faulty PV panels, validating the framework’s robustness and edge-computing compatibility. Beyond technical performance, the study quantifies the energy and climate impact of undetected hotspots in a 42.24 kW rooftop PV system. Results show a 17,620 kWh annual energy loss and a 27.6 % reduction in CO<sub>2</sub> mitigation potential equivalent to 20 fewer barrels of crude oil displaced. These findings underscore the urgency of scalable fault detection for sustainable solar deployment.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"306 ","pages":"Article 114227"},"PeriodicalIF":6.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145882708","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}

引用次数: 0

A multi-branch point-interval ensemble paradigm for photovoltaic power forecasting based on comprehensive feature extraction and direct multi-quantile learning 基于综合特征提取和直接多分位数学习的多支路点区间集成光伏功率预测模型

IF 6 2区工程技术

Solar Energy Pub Date : 2026-02-01 Epub Date: 2025-12-16 DOI: 10.1016/j.solener.2025.114248

Kuizhuang Chen , Yaning Li , Jujie Wang

{"title":"A multi-branch point-interval ensemble paradigm for photovoltaic power forecasting based on comprehensive feature extraction and direct multi-quantile learning","authors":"Kuizhuang Chen , Yaning Li , Jujie Wang","doi":"10.1016/j.solener.2025.114248","DOIUrl":"10.1016/j.solener.2025.114248","url":null,"abstract":"<div><div>Accurate photovoltaic power forecasting is crucial for ensuring the stable operation of the power system. Existing ensemble models have limitations in feature extraction, and also suffer from low operational efficiency and a tendency toward error accumulation. Therefore, this paper proposes a novel multi-branch point-interval ensemble model that significantly improves the accuracy and reliability of predictions through comprehensive feature extraction and direct multi-quantile learning. First, an innovative fitness function considering three types of entropy values and Huber loss is designed to adjust the parameters of variational mode decomposition, thereby obtaining multi-scale fluctuation features that can reflect the internal structure of the original time series. Then, intrinsic features and external influencing factors are further screened to effectively avoid information overlap between them, achieving a bidirectional balance between information richness and noise minimization. Subsequently, multiple branches of long short-term memory networks are constructed to model the screened features separately. Finally, to avoid error accumulation and improve training efficiency, the model directly outputs the final point and interval predictions through a multi-branch integrated architecture. Experimental results show that the model has superior performance in terms of performance metrics and training speed.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"305 ","pages":"Article 114248"},"PeriodicalIF":6.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788369","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}

引用次数: 0

Influence of rooftop photovoltaic on campus thermal and humid environment and optimization of building configurations 屋顶光伏对校园热湿环境的影响及建筑构型优化

IF 6 2区工程技术

Solar Energy Pub Date : 2026-02-01 Epub Date: 2025-12-09 DOI: 10.1016/j.solener.2025.114235

Lei Zhao, Xiaosong Cheng, Jing Wu, Hongqiang Ma, Shunze Wang, Jiajun Wang

{"title":"Influence of rooftop photovoltaic on campus thermal and humid environment and optimization of building configurations","authors":"Lei Zhao, Xiaosong Cheng, Jing Wu, Hongqiang Ma, Shunze Wang, Jiajun Wang","doi":"10.1016/j.solener.2025.114235","DOIUrl":"10.1016/j.solener.2025.114235","url":null,"abstract":"<div><div>In this paper, a multi-factor coupled model is established to simulate the effect of ambient parameters and building configurations on the outdoor thermal-humidity environment under rooftop photovoltaic (PV). Unlike traditional urban microclimate models, this model combines interactions between irregular objects and solar radiation, the heat absorption by rooftop PV modules, and the transpiration process of plants. This is to better match the outdoor real environment under rooftop photovoltaic applications. The model is proven to be reliable by the experimental test. The Universal Thermal Climate Index (UTCI) is used as index to evaluate the outdoor thermal-humidity environment for different building distribution patterns with or without rooftop PV in campus at different times. The results show that the average UTCI of the traditional campus scenario without rooftop PV is significantly higher than that of the new campus scenario with rooftop PV. The maximum UTCI standard deviation of new scenario with rooftop PV is 65.04 % lower than that of the traditional scenario. Which means the thermal comfort uniformity of new campus scenario is significantly better than that of the traditional campus. Moreover, the staggered building layout in campus has the lowest UTCI standard deviation variation. It is recommended to lower the building height to improve outdoor human comfort in summer when the space between buildings is 20 m. The results can provide a reference for the design of future campus.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"305 ","pages":"Article 114235"},"PeriodicalIF":6.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145735727","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}

引用次数: 0

Thermal stability enhancement in silicon heterojunction solar cells using deuterated intrinsic amorphous silicon passivation 用氘化本征非晶硅钝化增强硅异质结太阳能电池的热稳定性

IF 6 2区工程技术

Solar Energy Pub Date : 2026-02-01 Epub Date: 2025-12-11 DOI: 10.1016/j.solener.2025.114219

Alamgeer , Muhammad Quddamah Khokhar , Hasnain Yousuf , Rafi-Ur-Rahman , Vinh-Ai Dao , Duy Phong Pham , Junsin Yi

{"title":"Thermal stability enhancement in silicon heterojunction solar cells using deuterated intrinsic amorphous silicon passivation","authors":"Alamgeer , Muhammad Quddamah Khokhar , Hasnain Yousuf , Rafi-Ur-Rahman , Vinh-Ai Dao , Duy Phong Pham , Junsin Yi","doi":"10.1016/j.solener.2025.114219","DOIUrl":"10.1016/j.solener.2025.114219","url":null,"abstract":"<div><div>This study investigates the thermal stability and passivation performance of intrinsic deuterated amorphous silicon (i-a-Si:D) as a passivation layer for silicon heterojunction (SHJ) solar cell applications. The i-a-Si:D layer is optimized by controlling its thickness, deposition power denisty and gas flow ratio to achieve enhanced passivation characteristics. The optimized i-a-Si:D layer with a thickness of 7 nm, power density of 50 mW/cm<sup>2</sup> and a D<sub>2</sub>/SiH<sub>4</sub> gas ratio (GR) of 2 achieved effective lifetime (τ<sub>eff</sub>) of 933.36 µs and an implied open-circuit voltage (iV<sub>oc</sub>) of 0.722 V. Post-deposition deuterium plasma treatment further improved τ<sub>eff</sub> to 1036.19 µs and iV<sub>oc</sub> to 0.732 V. The stability analysis demonstrated that a-Si:D maintained stable τ<sub>eff</sub> ∼ 705.11 µs and iV<sub>oc</sub> ∼ 0.719 V under thermal stress. In contrast, intrinsic hydrogenated amorphous silicon (i-a-Si:H) exhibited significant degradation with τ<sub>eff</sub> dropping from 879.76 µs to 545.76 µs and iV<sub>oc</sub> decreasing from 0.722 V to 0.706 V after 16 min at 45 °C experiencing accelerated degradation. FTIR spectrum confirmed the incorporation of deuterium into the amorphous silicon matrix, strengthening the Si-D<sub>2</sub> bonds which enhanced thermal stability and reduced recombination. SHJ devices incorporating i-a-Si:D exhibit a lower absolute efficiency degradation of 0.6 % compared to 1.7 % for devices using i-a-Si:H after thermal incubation at 45–55 °C for 8 h. These results indicate that i-a-Si:D offers superior thermal robustness and long-term passivation stability compared to i-a-Si:H making it an ideal candidate for high-efficiency SHJ solar cells in thermally stressed environments.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"305 ","pages":"Article 114219"},"PeriodicalIF":6.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145735667","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}

引用次数: 0

Digital twins for a floating photovoltaic system with experimental data mining and artificial intelligence modelling 基于实验数据挖掘和人工智能建模的浮动光伏系统的数字孪生

IF 6 2区工程技术

Solar Energy Pub Date : 2026-02-01 Epub Date: 2025-12-12 DOI: 10.1016/j.solener.2025.114249

Danlei Yang , Wenxuan Shi , Javier Aliseda , Noé Gerval , Saseeban Rathakrishnan , Khalifa Ibrahim , Xiangcheng Lyu , Chenhao Mi , Luofeng Huang

{"title":"Digital twins for a floating photovoltaic system with experimental data mining and artificial intelligence modelling","authors":"Danlei Yang , Wenxuan Shi , Javier Aliseda , Noé Gerval , Saseeban Rathakrishnan , Khalifa Ibrahim , Xiangcheng Lyu , Chenhao Mi , Luofeng Huang","doi":"10.1016/j.solener.2025.114249","DOIUrl":"10.1016/j.solener.2025.114249","url":null,"abstract":"<div><div>Floating photovoltaic (FPV) systems face complex multi-physics interactions from wave-induced hydrodynamics and solar variability, yet there is a lack of a digital framework to balance the large amount of data, modelling accuracy, and real-time adaptability. This study addresses this gap by developing an AI-driven digital twin framework that integrates physical experimentation, data integration, and neural network-based modelling. A novel FPV system was experimentally tested under 150 + scenarios in different solar irradiance and water wave conditions, capturing hydrodynamic, thermal, and power performances. A two-tier artificial neural network architecture was implemented, providing a high-fidelity model for detailed analysi and a reduced-order model for real-time applications. The virtual twin can predict key outputs, including heave, surge, pitch, mooring forces, PV temperature, and power output, which potentially reduces the need for sensors on the physical twin and provides more comprehensive information. In summary, the proposed digital twin framework enables remote monitoring, prediction, and intelligent management of FPV systems. Moreover, it holds the potential to support wave-adaptive panel control energy system management, and predictive maintenance. These functions position the digital twin as a core enabler for efficient, reliable, and scalable offshore solar energy deployment.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"305 ","pages":"Article 114249"},"PeriodicalIF":6.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145735673","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}

引用次数: 0

Performance enhancement of photovoltaic modules using burlap-based passive evaporative cooling: an experimental energy–exergy assessment 利用粗麻布为基础的被动蒸发冷却提高光伏组件的性能：一项实验性能量-消耗评估

IF 6 2区工程技术

Solar Energy Pub Date : 2026-02-01 Epub Date: 2025-12-25 DOI: 10.1016/j.solener.2025.114285

Hayder Altharwanee, Francisco Jurado, David Vera

{"title":"Performance enhancement of photovoltaic modules using burlap-based passive evaporative cooling: an experimental energy–exergy assessment","authors":"Hayder Altharwanee, Francisco Jurado, David Vera","doi":"10.1016/j.solener.2025.114285","DOIUrl":"10.1016/j.solener.2025.114285","url":null,"abstract":"<div><div>His work experimentally investigates the thermal and electrical performance enhancement of photovoltaic (PV) modules using a burlap-based evaporative cooling technique. The tests were conducted over six consecutive days, from the 10th to the 16th of August, under hot and dry summer conditions. Several burlap configurations were evaluated on an identical PV module supplied with a steady water flow, while a second module operated simultaneously as a non-cooled reference.</div><div>The results revealed a notable improvement in PV performance due to the evaporative effect of the wetted burlap surface. The cooled modules exhibited a surface temperature reduction of up to 6 <span><math><msup><mspace></mspace><mrow><mo>∘</mo></mrow></msup></math></span>C compared with the reference panel, resulting in an increase in electrical efficiency of approximately 2–4 %, depending on the burlap geometry and coverage area. Among the tested configurations, the hybrid arrangement (Case 3) achieved the most uniform cooling and the highest combined energy–exergy efficiency. Overall, the burlap-based cooling system offers a simple, sustainable, and low-cost solution for mitigating temperature rise and improving both efficiency and service life of PV modules in hot-climate applications.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"305 ","pages":"Article 114285"},"PeriodicalIF":6.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145837692","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}

引用次数: 0

Net metering interval impact on solar photovoltaic prosumer techno-economics in Finland 净计量间隔对芬兰太阳能光伏产消技术经济的影响

IF 6 2区工程技术

Solar Energy Pub Date : 2026-02-01 Epub Date: 2025-12-23 DOI: 10.1016/j.solener.2025.114230

Md Mofidul Bari Sakib, Altti Meriläinen, Vesa Ruuskanen, Antti Kosonen

{"title":"Net metering interval impact on solar photovoltaic prosumer techno-economics in Finland","authors":"Md Mofidul Bari Sakib, Altti Meriläinen, Vesa Ruuskanen, Antti Kosonen","doi":"10.1016/j.solener.2025.114230","DOIUrl":"10.1016/j.solener.2025.114230","url":null,"abstract":"<div><div>Residential solar photovoltaic systems, supported by net metering policy, are increasingly adopted in Finland for cost savings and environmental benefits. European Union Regulation 2017/2195 provides a transition from the 1-hour to 15-minute imbalance settlement period, with even finer resolutions being possible in the future. This paper examines the effects of 15- and 5-minute net metering intervals on the energy dynamics and economic outcomes of residential solar photovoltaic installations in Finland. With measured data from two prosumer households over three years, changes in imported energy, self-consumption, self-sufficiency, and value of solar photovoltaic for capacities from 1–20 kWp are analyzed. Findings show that for the 15-minute interval with a 5 kWp solar PV system capacity, annual grid imports increase by up to 110 kWh, self-sufficiency decreases by up to 1.4 percentage points, and monetary value decreases by up to <span><math><mrow><mtext>€</mtext></mrow></math></span>11 for the capacities studied, with larger systems being less affected by the transition to a shorter metering interval. The 5-minute interval has a similar but slightly greater impact across all parameters. Moreover, Finland’s latest increase in value-added tax from 24 % to 25.5 % mitigates some financial losses of solar photovoltaic systems over shorter intervals. These findings offer insights for policymakers and prosumers navigating the evolving regulatory framework.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"305 ","pages":"Article 114230"},"PeriodicalIF":6.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145837688","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}

引用次数: 0

A calculation method for indoor solar irradiance under tree shading 树荫下室内太阳辐照度的计算方法

IF 6 2区工程技术

Solar Energy Pub Date : 2026-02-01 Epub Date: 2025-12-22 DOI: 10.1016/j.solener.2025.114282

Zhechen Shen , Feng Qi , Tailong Zhang , Yukai Song , Yufei Zhou

{"title":"A calculation method for indoor solar irradiance under tree shading","authors":"Zhechen Shen , Feng Qi , Tailong Zhang , Yukai Song , Yufei Zhou","doi":"10.1016/j.solener.2025.114282","DOIUrl":"10.1016/j.solener.2025.114282","url":null,"abstract":"<div><div>Solar radiation is a critical source of heat gain in building interiors, and trees adjacent to windows significantly influence the solar radiation received indoors. While existing studies have primarily focused on the impact of nearby trees on wall temperatures and building energy loads, there is a notable lack of quantitative research on indoor surface solar irradiance under complex tree shading conditions. This gap hinders the scientific evaluation of trees’ effects on solar heat gain on indoor surfaces of adjacent buildings, thereby affecting the strategic greening of building surroundings from an energy-saving perspective. To address this, a calculation method for indoor surface incident solar irradiance under window-adjacent tree shading is proposed, based on experimental measurements and fisheye lens imaging. The method first calculates direct normal irradiance and horizontal diffuse irradiance using experimental data. It then evaluates the attenuation of diffuse irradiance by trees and other obstructions using fisheye images. Subsequently, fisheye images and 3D models are employed to compute view factors between measurement points and complex surfaces for reflected irradiance calculations. Finally, the proposed irradiance calculation model was validated through a case study. The comparison between the calculated and measured values showed a mean relative error of approximately 10 % and a root mean square error (RMSE) of 11.4 W/m<sup>2</sup>, indicating the high accuracy of the model. This method provides a theoretical foundation for further investigating the mechanisms by which window-adjacent trees influence indoor surface incident solar irradiance.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"305 ","pages":"Article 114282"},"PeriodicalIF":6.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145837687","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}

引用次数: 0

Corrigendum to “Low temperature chemical synthesis of Mg doped GaN nanoparticles for high efficiency flexible homojunction solar cells”. [Sol. Energy 303 (2026) 114134] “用于高效柔性均结太阳能电池的Mg掺杂GaN纳米颗粒的低温化学合成”的勘误表。[Sol. Energy 303 (2026) 114134]

IF 6 2区工程技术

Solar Energy Pub Date : 2026-02-01 Epub Date: 2025-12-15 DOI: 10.1016/j.solener.2025.114250

Motahher A. Qaeed , M.K.M. Ali , Asad A. Thahe , Omar F. Farhat , A. mindil , A.I. Aljameel , Ammar AL-Farga

引用次数: 0