Solar Energy最新文献

Performance analysis and optimization of a spectral beam splitting photovoltaic thermal system 光谱分束光伏热系统性能分析与优化

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2026-04-01 Epub Date: 2026-01-31 DOI: 10.1016/j.solener.2026.114389

Shifan Wei , Hui Xu , Yanhui Wang , Gang Tang , Hongtao Xu

Spectral beam splitting provides an effective method for decoupling photovoltaic and photothermal conversion processes, enabling full-spectrum utilization of concentrated solar energy. However, most existing spectral beam splitting concentrating photovoltaic and thermal systems are evaluated under steady-state conditions, which makes it difficult to reflect the combined effects of solar irradiance fluctuation, temperature variation, and load change during long-term operation. In this study, a spectral beam splitting concentrating photovoltaic and thermal system based on a parabolic trough with secondary high concentration is proposed. A transient simulation model is established to investigate system performance during typical weekly and annual operation. System performance is evaluated using energy utilization efficiency, renewable energy contribution rate, and exergy efficiency. On this basis, a comprehensive performance index is constructed using the entropy weight method, and key system parameters are optimized using the particle swarm optimization algorithm. The results indicate that the system delivers a stable energy supply throughout the year, with annual average energy utilization efficiency, renewable energy contribution rate, and exergy efficiency of 64.4%, 65.5%, and 13.2%, respectively. Seasonal analysis indicates that under high solar radiation conditions in summer, renewable energy can meet most of the system energy demand, while in winter the system relies more on grid electricity to satisfy increased thermal loads. After optimization, the comprehensive performance index increases from 46.1% to 54.6%, corresponding to an improvement of 8.5%.

光谱分束提供了一种有效的解耦光伏和光热转换过程的方法，使聚光太阳能的全光谱利用成为可能。然而，现有的光谱分束聚光光伏和热系统大多是在稳态条件下进行评估，难以反映长期运行中太阳辐照度波动、温度变化和负荷变化的综合影响。本文提出了一种基于二次高浓度抛物线槽的分光光谱聚光光伏热系统。建立了暂态仿真模型，研究了典型的周运行和年运行时的系统性能。系统性能评估使用能源利用效率，可再生能源贡献率和能源效率。在此基础上，采用熵权法构建综合性能指标，并采用粒子群算法对系统关键参数进行优化。结果表明，系统全年能源供应稳定，年平均能源利用效率、可再生能源贡献率和火用效率分别为64.4%、65.5%和13.2%。季节分析表明，在夏季高太阳辐射条件下，可再生能源可以满足系统大部分能源需求，而在冬季，系统更多地依赖电网电力来满足增加的热负荷。优化后，综合性能指标由46.1%提高到54.6%，相应提高8.5%。

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引用次数: 0

A robust rule-based method for detecting and classifying underperformance in photovoltaic systems using inverter data 一种基于规则的基于逆变器数据的光伏系统劣化检测和分类方法

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2026-04-01 Epub Date: 2026-01-31 DOI: 10.1016/j.solener.2026.114382

Bernardo Mendonca Severiano , Earl Duran , Jonathan Rispler , Jaysson Guerrero Orbe , Yinyan Liu , Fiacre Rougieux , Anna Bruce , Baran Yildiz , Chris Martell , Ibrahim Anwar Ibrahim

This study presents a practical and scalable rule-based methodology for detecting and classifying underperformance in photovoltaic (PV) systems using only inverter data from the alternating current (AC) side. Motivated by the need for reliable, low-cost underperformance detection in distributed PV systems, the proposed approach eliminates reliance on high-resolution direct current (DC) side measurements or complex sensor infrastructure. A suite of algorithms was developed to identify and classify common underperformance events, including generation clipping, inverter tripping, recurring anomalies, and seasonal or daily yield reductions. The method was validated using real-world data from 1089 PV systems (2213 inverter monitors) throughout Australia, representing eight major inverter brands. A subset of 807 industry-labelled fault instances was used for performance benchmarking. The results demonstrated high classification accuracy for underperformance events (92% and 88% for our two defined cases), while highlighting areas for refinement in detecting more ambiguous cases such as generation clipping (56%). This work addresses a critical gap in current performance monitoring practices, offering a robust, low-intervention solution for PV fleet operators seeking to improve reliability, fault response, and economic performance at scale.

本研究提出了一种实用且可扩展的基于规则的方法，用于仅使用来自交流（AC）侧的逆变器数据来检测和分类光伏（PV）系统的性能不佳。由于分布式光伏系统需要可靠、低成本的性能不佳检测，该方法消除了对高分辨率直流侧测量或复杂传感器基础设施的依赖。开发了一套算法来识别和分类常见的性能不佳事件，包括发电量减少、逆变器脱扣、反复出现的异常以及季节性或每日产量下降。该方法使用来自澳大利亚1089个光伏系统（2213个逆变器监视器）的真实数据进行了验证，代表了八个主要逆变器品牌。807个行业标记故障实例的子集用于性能基准测试。结果表明，对于性能不佳的事件，分类准确率很高（对于我们定义的两个案例，分类准确率分别为92%和88%），同时突出了在检测更模糊的情况（如生成裁剪）时需要改进的领域（56%）。这项工作解决了当前性能监测实践中的一个关键空白，为寻求提高可靠性、故障响应和大规模经济绩效的光伏发电运营商提供了一个强大的、低干预的解决方案。

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引用次数: 0

Mirror density optimization of solar tower system considering optical and receiver parameters 考虑光学和接收器参数的太阳塔系统反射镜密度优化

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2026-04-01 Epub Date: 2026-02-01 DOI: 10.1016/j.solener.2026.114375

Indranil Paul, Shireesh B. Kedare

The optical performance of the solar tower system depends on the specifications of the heliostat and receiver, along with the tower height and the mirror arrangement in the field. In this study, the heliostat field domain is discretized into a grid, and the mirror density denotes the mirror area in each grid element. The receiver aperture is idealized to be the outer surface of a cone situated at the aim point on the tower, and is represented by the tilt angle. The cosine and the attenuation efficiency are calculated based on the grid point location and the aim point. The interception efficiency is predicted by approximating the spread of the image on the receiver aperture plane. The mirror density is used to estimate the shading and the blocking efficiency. An optimization procedure is developed that can distribute a given mirror area optimally to reach the maximum optical efficiency. Detailed parametric analyses facilitated a deeper understanding of optical performance and mirror density distribution with the system parameters. Optical efficiency improvement of 3%-5% can be achieved by optimally tilting the receiver aperture. The heliostat field’s annual optical efficiency and average mirror density increase with the tower height to varying extents depending on the latitude. Results also indicate that, smaller capacity solar tower systems employing a short tower might be more beneficial for higher latitude locations. On the other hand, the combination of a tall tower and a high tilt receiver aperture might be preferable for lower latitude locations.

太阳能塔系统的光学性能取决于定日镜和接收器的规格，以及塔的高度和反射镜在野外的布置。在本研究中，定日镜场域被离散成一个网格，镜面密度表示每个网格单元中的镜面面积。理想的接收机孔径是位于塔上瞄准点的圆锥的外表面，用倾斜角表示。根据网格点位置和目标点计算余弦值和衰减效率。通过近似图像在接收机孔径平面上的扩散来预测拦截效率。镜面密度用于估计遮光和遮挡效率。提出了一种优化程序，可以对给定的反射镜面积进行优化分配，以达到最大的光学效率。详细的参数分析有助于更深入地了解系统参数的光学性能和反射镜密度分布。通过优化倾斜接收孔径，光学效率可提高3%-5%。定日镜场的年光学效率和平均镜密度随塔架高度的增加而随纬度的不同而不同程度地增加。结果还表明，采用短塔的小容量太阳能塔系统可能更有利于高纬度地区。另一方面，高塔和高倾角接收机孔径的组合可能更适合低纬度地区。

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引用次数: 0

Enhanced photocatalytic H2 evolution performance of a novel Co3O4/ZnIn2S4 composite photocatalyst 新型Co3O4/ZnIn2S4复合光催化剂增强光催化析氢性能

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2026-03-15 Epub Date: 2026-01-19 DOI: 10.1016/j.solener.2026.114336

Yonghe Lao , Zenghua Zhao , Yuexin Hu , Yushen Zhang , Lei Shi

Non-noble metal Co₃O₄/ZnIn₂S₄ (COZIS) composite photocatalysts were prepared by compositing Co₃O₄ nanoparticles with ZnIn₂S₄ (ZIS) via solvothermal method. The incorporation of Co₃O₄ significantly enhanced the COZIS composite photocatalyst’s capability to effectively separate photo-induced charge carriers. The Co₃O₄/ZnIn₂S₄ composite demonstrated superior H₂ evolution performance in water splitting applications. With a Co₃O₄ content of 3 wt% (COZIS-3), it achieved a peak hydrogen generation efficiency of 8333.01 μmol h⁻¹ g⁻¹. Meanwhile, COZIS-3 composite photocatalyst could exhibit excellent hydrogen evolution performance in diverse aqueous environments and continuous cycling hydrogen evolution capacity, revealing promising practical applicability and exceptional cycling stability. Finally, the reaction mechanism of the Co₃O₄/ZnIn₂S₄ composite photocatalyst was elucidated based on experimental results and characterization analyses. A cost-effective methodology for photocatalytic system development is proposed, particularly for sustainable hydrogen production utilizing solar energy.

采用溶剂热法将Co3O4纳米颗粒与ZnIn2S4 （ZIS）复合制备非贵金属Co3O4/ZnIn2S4 （COZIS）复合光催化剂。Co3O4的加入显著增强了COZIS复合光催化剂有效分离光诱导载流子的能力。Co3O4/ZnIn2S4复合材料在水裂解应用中表现出优异的析氢性能。Co3O4含量为3 wt% （COZIS-3）时，产氢效率峰值为8333.01 μmol h−1 g−1。同时，COZIS-3复合光催化剂能够在多种水环境中表现出优异的析氢性能和连续循环析氢能力，具有良好的实用性和优异的循环稳定性。最后，结合实验结果和表征分析，阐明了Co3O4/ZnIn2S4复合光催化剂的反应机理。提出了一种具有成本效益的光催化系统开发方法，特别是利用太阳能可持续制氢。

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引用次数: 0

A focused review on emerging trends in antimony chalcogenide based photocathodes for green hydrogen production 重点综述了基于硫系锑的绿色制氢光电阴极的发展趋势

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2026-03-15 Epub Date: 2026-01-30 DOI: 10.1016/j.solener.2026.114368

Thatheyus Peter Xavier , Deepshikha Rathore , Malar Piraviperumal

Over the past decade, extensive research has been devoted in developing cost-effective, robust, and efficient photoelectrodes for sustainable hydrogen production via photoelectrochemical (PEC) water splitting, aiming to address the growing global energy crisis. Among various materials, antimony-based chalcogenide semiconductors, such as Sb₂Se₃, Sb₂S₃ and Sb₂(S,Se)_1-x have emerged as promising candidates for PEC photocathodes, as they meet key criteria including, suitable band gap (1.1 to 1.7 eV), superior optoelectronic properties, high absorption coefficient and outstanding photocorrosion stability, making them highly suitable for solar-driven hydrogen generation. This review outlines the basic principles of PEC water splitting with its key parameter calculations and typical device configurations. Recent advancements in antimony chalcogenide based photocathodes are thoroughly reviewed, with reference to the intrinsic optoelectronic properties, morphological effects, the role of cocatalyst incorporation and protective interfacial layer engineering in enhancing device performance. The review article concludes with existing challenges and future research directions, highlighting the potential of antimony chalcogenide photocathodes for low-cost, efficient solar hydrogen production, tandem device architectures, and commercial-scale applications.

在过去的十年中，为了解决日益严重的全球能源危机，人们致力于通过光电化学（PEC）水分解来开发具有成本效益，耐用性和高效的可持续制氢光电极。在各种材料中，锑基硫系半导体，如Sb2Se3， Sb2S3和Sb2(S,Se)1-x已成为有希望的PEC光电阴极候选者，因为它们满足关键标准，包括合适的带隙（1.1至1.7 eV），优越的光电性能，高吸收系数和出色的光腐蚀稳定性，使其非常适合太阳能驱动制氢。本文综述了PEC水裂解的基本原理、关键参数计算和典型装置配置。综述了硫系锑基光电阴极的研究进展，包括其固有光电特性、形态效应、助催化剂掺入和保护界面层工程在提高器件性能方面的作用。本文总结了目前存在的挑战和未来的研究方向，强调了硫系锑光电阴极在低成本、高效太阳能制氢、串联器件结构和商业规模应用方面的潜力。

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引用次数: 0

Preparation and characterization of a new supercooled composite phase-change material based on sodium acetate trihydrate 基于三水合乙酸钠的新型过冷复合相变材料的制备与表征

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2026-03-15 Epub Date: 2026-01-29 DOI: 10.1016/j.solener.2026.114386

Can Li, Guobing Zhou, Siyu Zhang

Supercooled sodium acetate trihydrate (SAT) has significant potential for long-term thermal storage and flexible heat release because of high latent heat, cheapness and large supercooling degree. However, the relatively high melting point limits application in low-temperature scenarios. In this study, inorganic chlorides (KCl, NaCl, NH₄Cl) are introduced as melting-point regulators, and carboxymethyl cellulose (CMC), xanthan gum (XG), gelatin and starch as thickeners are added to prepare modified SAT-based composite phase change materials (CPCMs). Thermal performances and phase separation of the CPCMs are systematically investigated. Results show that 24% NH₄Cl reduces the maximum discharging temperature (T_dis) to 29.89 °C while maintaining stable supercooling, whereas 8% KCl and 4% NaCl only lower T_dis to 50.65 °C and 52 °C, respectively. The optimal thickener contents to suppress phase separation are 1% CMC, 0.5% XG, 0.25% gelatin, and 1% starch, respectively. For the final CPCM composition of SAT + 24% NH₄Cl + 0.5% XG, DSC tests determine the latent heat being 170.4 J/g. XRD analysis shows no formation of new crystalline phases after NH₄Cl incorporation. The thermal conductivity of the CPCM is 0.627 W/(m·K). Thermal cycling tests demonstrate the CPCM maintains stable supercooling at − 10 °C after 100 cycles. A low-temperature concrete curing experiment validates the feasibility of final CPCM for low-temperature thermal management. This study provides experimental basis for low-temperature modification of SAT while maintaining stable supercooling for flexible thermal storage. The developed CPCM has suitable T_dis, high latent heat and less phase separation, indicating promising application potential in building energy conservation, concrete curing, and battery thermal management.

过冷型三水合乙酸钠（SAT）具有潜热高、价格便宜、过冷度大等优点，具有长期储热和灵活放热的潜力。然而，相对较高的熔点限制了在低温情况下的应用。本研究以无机氯化物（KCl、NaCl、NH4Cl）作为熔点调节剂，加入羧甲基纤维素（CMC）、黄原胶（XG）、明胶和淀粉作为增稠剂，制备改性sat基复合相变材料（CPCMs）。系统地研究了cpcm的热性能和相分离性能。结果表明，24%的NH4Cl在保持稳定过冷的情况下，可将最大放电温度（Tdis）降低至29.89℃，而8%的KCl和4%的NaCl仅能将Tdis分别降低至50.65℃和52℃。抑制相分离的最佳增稠剂含量分别为1% CMC、0.5% XG、0.25%明胶和1%淀粉。最终CPCM组成为SAT + 24% NH4Cl + 0.5% XG， DSC测试确定潜热为170.4 J/g。XRD分析表明，加入NH4Cl后没有形成新的晶相。CPCM的导热系数为0.627 W/（m·K）。热循环测试表明，CPCM在100次循环后保持稳定的过冷- 10°C。低温混凝土养护试验验证了最终CPCM用于低温热管理的可行性。本研究为低温改性SAT同时保持稳定过冷以实现柔性蓄热提供了实验依据。所研制的CPCM具有温度适宜、潜热高、相分离少等特点，在建筑节能、混凝土养护、电池热管理等方面具有广阔的应用前景。

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引用次数: 0

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods 分布式和分位数回归方法对光伏发电总量预测的后处理

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2026-03-15 Epub Date: 2026-01-29 DOI: 10.1016/j.solener.2026.114361

Martin János Mayer , Ágnes Baran , Sebastian Lerch , Nina Horat , Dazhi Yang , Sándor Baran

Accurate and reliable forecasting of photovoltaic (PV) power production is crucial for grid operations, electricity markets, and energy planning, as solar systems now contribute a significant share of the electricity supply in many countries. PV power forecasts are often generated by converting forecasts of relevant weather variables to power forecasts via a model chain. The use of ensemble simulations from numerical weather prediction models results in probabilistic PV forecasts in the form of a forecast ensemble. However, weather forecasts often exhibit systematic errors that propagate through the model chain, leading to biased and/or uncalibrated PV power forecasts. These deficiencies can be mitigated by statistical post-processing. Using PV production data and corresponding short-term PV power ensemble forecasts at seven utility-scale PV plants in Hungary, we systematically evaluate and compare seven state-of-the-art methods for post-processing PV power forecasts. These include both parametric and non-parametric techniques, as well as statistical and machine learning-based approaches. Our results show that compared to the raw PV power ensemble, any form of statistical post-processing significantly improves the predictive performance reducing the mean continuous ranked probability score (CRPS) by 11.1–14.7%. Non-parametric methods outperform parametric models, with advanced nonlinear quantile regression models showing the best results. Furthermore, machine learning-based approaches surpass their traditional statistical counterparts by around 2 percentage points in terms of the improvement in mean CRPS over the raw forecasts.

由于太阳能系统目前在许多国家的电力供应中占有相当大的份额，对光伏发电的准确和可靠预测对电网运行、电力市场和能源规划至关重要。光伏发电功率预测通常是通过模型链将相关天气变量的预测转换为功率预测而生成的。利用数值天气预报模式的集合模拟，以预报集合的形式得到概率PV预报。然而，天气预报经常表现出通过模型链传播的系统误差，导致有偏差和/或未经校准的光伏发电预测。这些缺陷可以通过统计后处理加以缓解。利用匈牙利七个公用事业规模的光伏电站的光伏生产数据和相应的短期光伏发电预测，我们系统地评估和比较了七种最先进的光伏发电预测后处理方法。这些包括参数和非参数技术，以及基于统计和机器学习的方法。我们的研究结果表明，与原始光伏发电系统相比，任何形式的统计后处理都显著提高了预测性能，将平均连续排名概率得分（CRPS）降低了11.1-14.7%。非参数方法优于参数模型，其中先进的非线性分位数回归模型显示出最好的结果。此外，与原始预测相比，基于机器学习的方法在平均CRPS的改进方面比传统的统计方法高出约2个百分点。

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引用次数: 0

Wind-induced vibration characteristics and parametric analysis of multi-row cable-supported photovoltaic structures with edge-row wind-resistant cables 边排抗风索多排光伏结构风振特性及参数分析

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2026-03-15 Epub Date: 2026-01-21 DOI: 10.1016/j.solener.2026.114346

Wei Li , Fei Han , Bo Chen , Qingshan Yang

Flexible cable-supported photovoltaic (FCSPV) structures with additional wind-resistant cables installed only at the edge rows are widely adopted. For such structures, wind load is usually the governing load, and their wind-induced vibration behavior is significantly affected by wind-resistant enhancement measures (WREMs), structural parameters (such as PV panel tilt angle β and row spacing D), and wind load parameters (such as basic wind pressure w₀). This study first performs wind tunnel tests to obtain the wind loads on a typical six-row FCSPV structure under various conditions of β, D, and wind directions (α). Subsequently, detailed finite element models are developed, and time-history analyses are performed to investigate the wind-induced responses of the six-row FCSPV structure with different WREMs. The effectiveness of installing wind-resistant cables at the edge rows and inter-row bracings is examined. Based on the structure equipped with this reasonable WREM, a parametric analysis is conducted to reveal the influence of various parameters on its wind-induced vibration characteristics. Finally, wind-resistant design recommendations for this type of structure are provided. The study results show that the most unfavorable wind directions for the structure are 0° and 180°. The reasonable WREM can significantly enhance structural wind-resistant performance, reducing the maximum peak wind-induced displacements by 23.1% and 92.7% under these two critical wind directions, respectively. Moreover, the overall structural gust-effect factor mainly falls within the range of 2.0 to 4.0, generally decreasing with increasing w₀ and β, and exhibiting an initial increase followed by a decrease as D increases.

柔性电缆支撑光伏（FCSPV）结构被广泛采用，仅在边缘排安装额外的抗风电缆。对于此类结构，风荷载通常为控制荷载，其风致振动行为受抗风增强措施（WREMs）、结构参数（如光伏板倾角β和排间距D）和风荷载参数（如基本风压w0）的显著影响。本研究首先进行了风洞试验，获得了典型六排FCSPV结构在β、D、风向（α）等不同条件下的风荷载。随后，建立了详细的有限元模型，并进行了时程分析，研究了不同wrm的六排FCSPV结构的风致响应。考察了在边缘排和行间支撑处安装抗风索的有效性。在此基础上，对结构进行了参数化分析，揭示了各参数对结构风振特性的影响。最后，对该类结构的抗风设计提出了建议。研究结果表明，结构最不利风向为0°和180°。合理的WREM可以显著提高结构的抗风性能，在这两个临界风向下，最大峰值风致位移分别降低23.1%和92.7%。整体结构阵风效应因子主要在2.0 ~ 4.0范围内，总体上随着w0和β的增大而减小，随着D的增大呈现先增大后减小的趋势。

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引用次数: 0

Airborne dust-induced performance degradation of photovoltaic modules in Bangladesh 孟加拉国空气粉尘引起的光伏组件性能退化

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2026-03-15 Epub Date: 2026-01-18 DOI: 10.1016/j.solener.2026.114331

Afrina Sharmin, Shahran Ahmed Joy, Munira Sultana, Md.Rashed Alam, M.S. Bashar

For dry and densely populated areas, dust deposition on the outdoor PV cells reduces the transparent area considerably, thereby lowering the efficiency of electric power generation. This paper brings forth a new approach involving natural dust deposition, incorporating both field testing as well as indoor testing for the tropical conditions of Dhaka, Bangladesh. This method differs from past research related to artificial or uniform dust deposition on PV cells, allowing for a more practical simulation of realistic dust deposition in the atmosphere. The parameters for experimentation were tested under Standard Test Conditions (25 °C, 1000 W/m²) with a precise solar simulator for high accuracy, similar to practical conditions. There was a considerable fall of about 28% in the short-circuit current (I_sc) for dusty PV cells. Additionally, the maximum power point (P_mp) reduced to a level of 172–232 W, compared to a fall to 235–238 W for clean PV cells. The highest dust concentration was measured to be 23.76 g/m² in November, causing efficiency loss of more than 27%. Efficiency loss was further reflected through a fall in the Fill Factor, measured between 72–76%, with a corresponding fall from 15.96% efficiency for clean PV cells to 11.82% efficiency for dusty PV cells. Current-voltage (I-V) curves showed a reduced area for dust-covered PV cells, indicating a more realistic simulation of efficiency loss through natural dust deposition as against the general simulation approach.

在干燥和人口密集的地区，室外光伏电池上的灰尘沉积会大大减少透明面积，从而降低发电效率。本文提出了一种涉及自然粉尘沉积的新方法，结合了孟加拉国达卡热带条件下的现场测试和室内测试。这种方法不同于过去有关光伏电池上人工或均匀粉尘沉积的研究，允许更实际地模拟大气中真实的粉尘沉积。实验参数在标准测试条件下（25°C, 1000 W/m2），高精度太阳模拟器进行测试，与实际条件相似。含尘光伏电池的短路电流（Isc）下降了28%左右。此外，与清洁光伏电池的最大功率点（Pmp）下降到235-238 W相比，最大功率点（Pmp）降低到172-232 W。11月测得最高粉尘浓度为23.76 g/m2，效率损失达27%以上。效率损失进一步反映在填充系数的下降上，测量值在72-76%之间，相应的，清洁光伏电池的效率从15.96%下降到含尘光伏电池的11.82%。电流-电压（I-V）曲线显示灰尘覆盖的光伏电池面积减小，表明与一般模拟方法相比，通过自然粉尘沉积更真实地模拟效率损失。

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引用次数: 0

A parametric evaluation of rooftop photovoltaic utilization and yield density considering urban morphology effects 考虑城市形态影响的屋顶光伏利用与产量密度参数评价

IF 6 2区工程技术 Q2 ENERGY & FUELS

Solar Energy

Pub Date : 2026-03-15 Epub Date: 2026-01-24 DOI: 10.1016/j.solener.2026.114364

Fatma Fathy , Rabee Shamass , Xiangming Zhou

Urban morphology plays a critical role in shaping the energy utilization potential of rooftop photovoltaic (PV) systems, with key factors including building height, available roof area, as well as obstruction angles and orientation influencing shading patterns and solar exposure. Previous research highlighted the impact of building and urban forms on enhancing solar energy utilization and decreasing energy demands. However, the development of a simple design model that captures the relationship between key design parameters and their impact on PV Utilization potential and Yield Density requires further large-scale investigation. This study aims to develop design-oriented regression models that enable practitioners to reliably estimate PV technical potential in the early stages of the design process. A comprehensive parametric analysis with around 1,000 simulation runs were conducted to evaluate and predict rooftop PV energy performance, emphasizing the influence of building and urban design parameters. Correlation analysis and regression models are developed to interpret the parametric relations and utilization potential of PV on building’s rooftop in Cairo, Egypt. Results indicate that roof-to-total floor area (RTFA %) and sunhours % are the most significant predictors of PV Utilization. These variables interact such that the sensitivity of PV Utilization in response to sunhours variations is doubled with every increase in RTFA %. In contrast, sunhours % and South obstruction angle are found to be the effective predictors of PV Yield Density. This study provides valuable insights for informed decision making, enabling the design of urban environments that maximize solar energy utilization and support sustainable development.

城市形态在塑造屋顶光伏系统的能源利用潜力方面起着关键作用，影响遮阳模式和阳光照射的关键因素包括建筑高度、屋顶可用面积、遮挡角度和朝向。以前的研究强调了建筑和城市形态对提高太阳能利用和降低能源需求的影响。然而，开发一个简单的设计模型，捕捉关键设计参数及其对光伏利用潜力和产量密度的影响之间的关系，需要进一步的大规模研究。本研究旨在开发面向设计的回归模型，使从业者能够在设计过程的早期阶段可靠地估计光伏技术潜力。通过大约1000次模拟运行的综合参数分析来评估和预测屋顶光伏能源性能，强调建筑和城市设计参数的影响。建立了相关分析和回归模型来解释埃及开罗建筑屋顶光伏的参数关系和利用潜力。结果表明，屋顶总建筑面积（RTFA %）和日照时数%是光伏利用率最显著的预测因子。这些变量相互作用，使得PV利用率对太阳时数变化的敏感性随着RTFA %的每增加而增加一倍。太阳时数%和南阻角是PV产密度的有效预测因子。该研究为明智的决策提供了有价值的见解，使城市环境设计能够最大限度地利用太阳能并支持可持续发展。

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