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光伏发电技术 储能系统 ★ 4.0

用于西班牙工业供热的线性菲涅尔太阳能场的协议与实验现场反射率表征

Protocol and experimental in-field reflectance characterization of a Linear Fresnel solar field for process heat in Spain

作者 José David Sobrino-Díaz · Antonio Cazorla-Marín · José Miguel Carot-Sierr · Aránzazu Fernández-Garcí · Jorge Payáa
期刊 Solar Energy
出版日期 2025年1月
卷/期 第 300 卷
技术分类 光伏发电技术
技术标签 储能系统
相关度评分 ★★★★ 4.0 / 5.0
关键词 Experimental reflectance measured in a 37 kW Linear Fresnel solar field.
语言:

中文摘要

摘要:聚光太阳能发电(CSP)电站通常位于温暖、干旱或半干旱地区,这些地区常有灰尘和沙尘。积灰不可避免地会影响电站的性能。本文针对位于西班牙瓦伦西亚的一座37 kW线性菲涅尔(LFR)太阳能场,开展了实验表征研究。使用Devices & Services 15R-USB反射仪测量了光谱反射率,并建立了一套完整的测量与太阳能场平均反射率表征的实验协议。通过为期三个月的实验 campaign,量化了积灰对反射率的影响。结果表明,在太阳能场的同一排中,反射率总体上服从正态分布。通过多因素方差分析(ANOVA)测试得到的主要影响因素包括排数、镜面单元以及距上次清洗的周数。在无降雨条件下经过三个月后,太阳能场的平均反射率下降至82.5%。平均积灰速率为0.16%/天。在大多数积灰条件下,每个镜面单元测量约一个点即可将误差控制在1%以内。该方法将很快推广应用于一座位于啤酒厂工业区的4.2 MW太阳能场。

English Abstract

Abstract Concentrating Solar Power (CSP) plants are generally placed in warm, arid or semi-arid regions with frequent dust and sand. Soiling inevitably hinders the plants’ performance. This paper deals with the experimental characterization of a 37 kW Linear Fresnel (LFR) solar field located in Valencia (Spain). The spectral reflectance has been measured with the reflectometer Devices & Services 15R-USB. A full protocol has been established to measure and characterize the mean solar field reflectance. A 3-month experimental campaign has been performed to quantify the effect of soiling. The results show that the reflectance generally follows a normal distribution in same rows of the solar field. The main factors obtained with a multifactor ANOVA test are the rows, facets and the number of weeks since the last cleaning. The average solar field reflectance dropped down to 82.5 % after 3 months with no rain. The mean soiling rate is 0.16 %/day. Measuring around one point per facet helps reach less than 1 % error in most soiling conditions. The same methodology will be soon extended to a 4.2 MW solar field located in a brewery industry.
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SunView 深度解读

该线性菲涅尔聚光太阳能(LFR-CSP)反射率衰减研究对阳光电源光伏系统具有重要参考价值。研究揭示积尘导致反射率3个月降至82.5%,日均衰减0.16%,这与光伏组件积尘损失机理相通。可为SG系列逆变器的iSolarCloud智能运维平台提供预测性清洗策略:通过功率衰减曲线建模,优化清洁周期。该光谱反射测量协议可移植至大型光伏电站,结合无人机巡检与AI图像识别,实现积尘程度量化评估,提升发电效率监控精度,降低运维成本。