RESEARCH ON DYNAMIC UPDATE STRATEGY OF CLEANING CYCLE FOR PHOTOVOLTAIC MODULES DRIVEN BY EFFECT OF NATURAL RAINFALL

Liu Weidong; Wu Jinhua; Hu Shan; Wen Hailang

doi:10.19912/j.0254-0096.tynxb.2023-1446

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (1) : 615-623. DOI: 10.19912/j.0254-0096.tynxb.2023-1446

RESEARCH ON DYNAMIC UPDATE STRATEGY OF CLEANING CYCLE FOR PHOTOVOLTAIC MODULES DRIVEN BY EFFECT OF NATURAL RAINFALL

Liu Weidong, Wu Jinhua, Hu Shan, Wen Hailang

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Abstract

This article proposes a dynamic analysis and design method for the cleaning cycle of photovoltaic modules which considers the cleaning effect of natural rainfall on dust deposition and its impact on power generation. This method uses the correlation graph method and correlation analysis to determine the main factors affecting the cleanliness and power generation of photovoltaic modules. Based on this, a quantitative relationship between rainfall and dust deposition is established, and a power generation prediction model considering the impact of dust deposition is applied to dynamically update or adjust the cleaning cycle. The proposed method was applied to the formulation of a cleaning strategy for a photovoltaic power plant in Hangzhou, Zhejiang Province. The results showed that the total cleaning cost under the dynamic update strategy of the cleaning cycle was reduced by 20.04% compared to the non-cleaning method, and by 3.63% compared to the fixed cleaning cycle method.

Key words

PV modules / dust / rainfall / power generation forecast / cleaning strategy

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Liu Weidong, Wu Jinhua, Hu Shan, Wen Hailang. RESEARCH ON DYNAMIC UPDATE STRATEGY OF CLEANING CYCLE FOR PHOTOVOLTAIC MODULES DRIVEN BY EFFECT OF NATURAL RAINFALL[J]. Acta Energiae Solaris Sinica. 2025, 46(1): 615-623 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1446

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