首页|基于大气状态参数的太阳光谱模型与测试方法研究

基于大气状态参数的太阳光谱模型与测试方法研究

Study on Solar Spectral Model and Test Method Based on Atmospheric State Parameters

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针对影响光伏组件发电性能的太阳光谱光功率预测系统直接测试难问题,基于温度、相对湿度和压力等大气状态参数,提出了一个新的简单地面太阳光谱的量化计算模型.通过设计实验对比常州地区直接测量与模型计算得到的地面太阳光谱,分析了模型计算光谱方法的适用性和局限性,并探讨该模型为光伏组件的输出性能精确评估的应用.研究结果表明晴天天气可见光波段,测量光谱与计算光谱之间的相对误差保持在5%以内;阴天天气比晴天天气适用性较差,但也保持在20%以内;不同季节对模型的适用性影响不大,相对误差保持在10%以内.
Aiming at addressing the difficulty of direct measurement of solar spectrum affecting the power generation per-formance of photovoltaic modules,this paper proposes a new quantitative calculation model of simple ground solar spec-trum based on atmospheric state parameters such as temperature,relative humidity and pressure.The ground solar spec-trum in Changzhou,China obtained by direct measurement and that calculated by spectral model is compared by designing experiments.The applicability and limitations of the model calculation spectroscopy method are analyzed,and the applica-tion of the model to the accurate evaluation of the output performance of photovoltaic modules is discussed.The results show that the relative error between the measured and calculated spectra can be kept within 5% in the visible light range of sunny weather.Cloudy weather is less suitable than sunny weather,but the relative error maintains within 20%.Differ-ent seasons have little effect on the applicability of the model,and the relative error can be controlled within 10%.

solar spectrummodelair qualitymeteorological parameterspectral prediction

陈艳

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陕西新华水利水电投资有限公司,陕西 西安710016

太阳光谱 模型 大气质量 气象参数 光谱预测

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(13)