光伏组件表面灰尘沉积特性的三维数值模拟仿真

郑传啸 ,  卢浩 ,  何蓓华 ,  赵文君

科学技术与工程 ›› 2025, Vol. 25 ›› Issue (17) :7173-7179

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科学技术与工程 ›› 2025, Vol. 25 ›› Issue (17) :7173-7179 DOI: 10.12404/j.issn.1671-1815.2404770
能源与动力工程

光伏组件表面灰尘沉积特性的三维数值模拟仿真

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Three-dimensional Numerical Simulation of Dust Deposition Characteristics on Photovoltaic Module Surfaces

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摘要

为了探究光伏组件表面灰尘沉积特性,针对地面光伏的积灰问题,利用计算流体动力学(computational fluid dynamics, CFD)数值模拟方法,从倾斜角度和风速两个因素研究了不同粒径的灰尘颗粒的沉积特性。结果表明:随着光伏组件倾斜角度的增大,光伏组件表面灰尘的沉积率逐渐减小,除此之外,发现当光伏组件迎风时,灰尘沉积率随着风速的增加而增加,最大灰尘沉积粒径均会随着风速的增加而变大。同时随着粒径的增大,光伏组件表面灰尘的沉积率先增大后减小。研究结果对探究光伏积灰特性及解决光伏电站的积灰问题有着重要的意义。

Abstract

In order to explore the dust deposition characteristics on the surface of photovoltaic(PV) modules. For the dust accumulation problem of ground-mounted photovoltaic, the deposition characteristics of dust particles with different particle sizes were investigated from two factors, namely, tilt angle and wind speed, by using CFD numerical simulation method. The results show that as the tilt angle of the PV module increases, the deposition rate of dust on the surface of the PV module gradually decreases, in addition, it is found that when the PV module is facing the wind, the rate of dust deposition increases with the increase of wind speed, and the maximum particle size of dust deposition will become larger with the increase of wind speed. At the same time, with the increase of particle size, the deposition of dust on the surface of the PV module is the first to increase and then decrease. The study is of great significance in solving the problem of dust accumulation in photovoltaic power plants.

关键词

光伏组件 / 灰尘沉积 / 倾斜角度 / 风速 / 粒径

Key words

photovoltaic module / dust deposition / tilt angle / wind speed / particle size

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郑传啸, 卢浩, 何蓓华, 赵文君. 光伏组件表面灰尘沉积特性的三维数值模拟仿真[J]. 科学技术与工程, 2025, 25(17): 7173-7179 DOI:10.12404/j.issn.1671-1815.2404770
ZHENG Chuan-xiao, LU Hao, HE Bei-hua, ZHAO Wen-jun. Three-dimensional Numerical Simulation of Dust Deposition Characteristics on Photovoltaic Module Surfaces[J]. Science Technology and Engineering, 2025, 25(17): 7173-7179 DOI:10.12404/j.issn.1671-1815.2404770

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基金资助

国家自然科学基金(5226601)

新疆天山创新团队计划(2023TSYCTD0009)

新疆大学优秀博士研究生创新项目(XJU2022 BS100)

新疆维吾尔自治区自然科学杰出青年基金(2021D01E08)

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