Modeling impacts of PM 2.5 concentration on PV power outputs

Chi Zhang, Wenyuan Li, Juan Yu, Ruilin Xu
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引用次数: 4

Abstract

PM2.5 concentration can have significant impacts on solar irradiation and thus on photovoltaic (PV) power output. This paper presents a method to model impacts of PM2.5 concentration on PV power. A non-parametric kernel density estimation is used to fit the probability distribution of PM2.5 concentration. An incremental relation between the increase of PM2.5 concentration and the decrease of solar irradiation is established for each PM2.5 level based on the PM2.5 air quality index. The simulation results using the PM2.5 and solar irradiation data in Beijing verified the effectiveness of the proposed method.
模拟pm2.5浓度对光伏发电输出的影响
PM2.5浓度会对太阳辐射产生显著影响,从而影响光伏发电输出。本文提出了一种模拟PM2.5浓度对光伏发电影响的方法。采用非参数核密度估计拟合PM2.5浓度的概率分布。基于PM2.5空气质量指数,在每一个PM2.5水平上建立PM2.5浓度增加与太阳辐照减少的增量关系。利用北京地区PM2.5和太阳辐照数据的模拟结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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