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计算预测太阳能电池板上的灰尘沉积。

Computational prediction of dust deposition on solar panels.

机构信息

School of Engineering, Coventry University Branch in Egypt, The Knowledge Hub Universities, New Administrative Capital, Residential Area 7, R7, Cairo, Egypt.

Faculty of Engineering and Materials Science, The German University in Cairo, New Cairo, Cairo, 11385, Egypt.

出版信息

Environ Sci Pollut Res Int. 2023 Jan;30(5):12545-12557. doi: 10.1007/s11356-022-22993-y. Epub 2022 Sep 16.

DOI:10.1007/s11356-022-22993-y
PMID:36109484
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9898363/
Abstract

This research is concerned with performing computational fluid dynamics (CFD) simulations to investigate the air flow and dust deposition behavior around a ground-mounted solar PV panel. The discrete phase model (DPM) is adopted to model the gas-solid flow. The influence of the wind speed, the dust particle size, and the dust material on the dust deposition rate was investigated based on the environment of Cairo, Egypt. The wind speeds range between 1 and 11.5 m/s with an average of 3.7 m/s. It is found that increasing the wind speed decreases the dust deposition rate. For wind speeds higher than 2 m/s, it is found that increasing the dust particle diameter or the dust density increases the dust deposition rate. For wind speeds lower than 2 m/s, it is found that there is a critical particle size before which increasing the dust density causes dust deposition rate to increase and after which increasing the dust density decreases the dust deposition. The maximum percentage of deposition rate equals 10.8% and occurs for the dolomite dust material at a wind speed of 2 m/s and particles diameter of 150 μm.

摘要

本研究通过计算流体动力学(CFD)模拟来研究地面安装的太阳能光伏板周围的气流和灰尘沉积行为。采用离散相模型(DPM)来模拟气固两相流。基于埃及开罗的环境,研究了风速、灰尘粒径和灰尘材料对灰尘沉积率的影响。风速范围在 1 到 11.5 米/秒之间,平均为 3.7 米/秒。结果表明,风速的增加会降低灰尘的沉积率。对于高于 2 米/秒的风速,发现增加灰尘粒径或灰尘密度会增加灰尘的沉积率。对于低于 2 米/秒的风速,发现存在一个临界粒径,在此之前,增加灰尘密度会导致沉积率增加,而在此之后,增加灰尘密度会降低灰尘的沉积率。最大的沉积率百分比等于 10.8%,发生在风速为 2 米/秒、粒径为 150μm 的白云石灰尘材料上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/733b3ee32056/11356_2022_22993_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/da1e414e1552/11356_2022_22993_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/05eff0d5a00a/11356_2022_22993_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/dd07f77cd069/11356_2022_22993_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/706f0e505e9f/11356_2022_22993_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/96bec30d4733/11356_2022_22993_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/805427eb7f27/11356_2022_22993_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/e645203b3b4b/11356_2022_22993_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/733b3ee32056/11356_2022_22993_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/da1e414e1552/11356_2022_22993_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/05eff0d5a00a/11356_2022_22993_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/dd07f77cd069/11356_2022_22993_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/706f0e505e9f/11356_2022_22993_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/96bec30d4733/11356_2022_22993_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/805427eb7f27/11356_2022_22993_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/e645203b3b4b/11356_2022_22993_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3798/9898363/733b3ee32056/11356_2022_22993_Fig8_HTML.jpg

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