A novel model to determine the relationship between dust concentration and energy conversion efficiency of photovoltaic (PV) panels

Dust accumulation reduces the energy conversion efficiency of photovoltaic (PV) panels and their safe operation. In this paper, a novel dust concentration and energy conversion efficiency (DC-ECE) model is proposed to estimate the effect of dust accumulation on PV generation performance. The effects of wind, particle flow, and dust deposition on the PV panels are investigated by computational fluid dynamics (CFD). The realizable k-epsilon model and discrete phase model (DPM) are used to predict the turbulent flow and dust deposition, respectively. An on-site wind tunnel experiment is designed to verify the effectiveness of the CFD simulation. Moreover, an expression of the deposition rate is developed to analyze the effects of wind speed and particle diameter on dust concentration. The results indicate that the spiral vortex of the dust particles becomes more pronounced and gradually diffuses as the installation angle increases. The length and angle of the vortex at the rear of the PV panel reach the maximum at a wind speed of 3.9 m/s and an installation angle of 45 degrees. When the dust particle diameter is less than 120 mm, the wind speed has the largest impact on the conversion efficiency of the PV panels, and the conversion efficiency has a linear relationship with the deposition time. The conversion efficiency loss increases with an increase in the dust particle diameter and the wind speed. The maximum conversion efficiency loss of the PV panels is 72.9%. (C) 2022 Elsevier Ltd. All rights reserved.

Automated summary

This paper proposes a novel model to investigate the effect of dust accumulation on the performance of photovoltaic generation. Computational fluid dynamics simulation and on-site wind tunnel experiments are conducted to verify the model. The results indicate that the installation angle, wind speed, and particle diameter have an impact on the dust concentration and energy conversion efficiency of photovoltaic panels.