中国电机工程学报2025，Vol.45Issue(z1)：222-230,9.DOI:10.13334/j.0258-8013.pcsee.251040
基于㶲损失模型的光伏组件灰尘沉积效能的影响机制
Influence Mechanism of Dust Deposition Efficiency of PV Modules Based on the Exergy Loss Model
摘要
Abstract
Surface fouling of photovoltaic(PV)modules poses a challenge to their performance and is prone to cause long-term hidden failures.In this study,the mechanism of different particle sizes of dust on the energy efficiency and exergy efficiency of PV modules is revealed by controlling the density of dust accumulation and irradiation intensity.In the experiment,75,100 and 150 μm dust sizes were selected to construct three kinds of ash accumulation densities of 2.11,6.15 and 10.13 g/m2,and quantitatively investigate their effects on the temperature field,power output and energy conversion of PV modules.The experimental data show that:the 75 μm particle size group had a temperature increase of 2.8℃and a power attenuation of 16.39%,and the energy and exergy efficiency decrease by 25%and 40.4%,for the 150 μm particle size group,the values were 1.2℃,8.94%,11.94%,and 22%respectively.Both the energy efficiency and the exergy efficiency increase with the increase of dust particle size and decrease with the increase of dust accumulation density.A quadratic regression model was constructed based on the response surface method between the energy/exergy efficiency and irradiation intensity,dust particle size,and dust accumulation density.The results show that among the three parameters affecting the output efficacy of photovoltaic modules,irradiation intensity has the most significant effect on energy and exergy efficiency,followed by dust accumulation density,while dust particle size has the least effect.关键词
光伏组件/灰尘粒径/㶲效率/响应面法Key words
photovoltaic(PV)modules/dust particle size/exergy efficiency/response surface methodology分类
信息技术与安全科学引用本文复制引用
曲宏伟,范德鑫,赵红超,徐志明..基于㶲损失模型的光伏组件灰尘沉积效能的影响机制[J].中国电机工程学报,2025,45(z1):222-230,9.基金项目
吉林省科学技术厅重点研发项目(20220203169SF). Key Research and Development Project of Jilin Provincial Science and Technology Department(20220203169SF). （20220203169SF）
