The relationship between PM2.5 and solar cell electricity generation Using Aerosol Optical Depth (AOD)
This study aims to analyze the relationship between PM2.5 concentrations, derived from Aerosol Optical Depth (AOD), and solar power generation a solar farm owned by A. Co., Ltd.(alias), in Samut Prakan Province, Thailand, This research utilizes PM2.5 data from pollution monitoring stations of the Pollution Control Department, AOD data from the MCD19A2.061 product, and solar power generation data from the Electricity Generating Authority of Thailand in 2022. The results indicate in summer season a negative correlation between PM2.5 concentrations and solar power generation R² = -0.7, meaning that as PM2.5 levels increase, solar power generation decreases. A regression equation used for power prediction achieved an accuracy of R² = 0.97. In contrast, a positive correlation is observed during the winter season R² = 0.6, indicating that as PM2.5 levels increase, solar power generation increases, with a prediction accuracy of R² = 0.93. No significant correlation is found during the rainy season, which may be due to other influencing factors. Predicting solar power generation in other areas should consider the different physical factors unique to each location.
Keywords: PM2.5, Aerosol Optical Depth, Solar Power, Solar Farm