Nonlinear Impacts of Particulate Matter on Solar PV Generation: A Spatiotemporal Panel Analysis of Chungcheongnam-do

Key Points

• The research aims to analyze the effects of particulate matter on solar PV generation using high-resolution spatiotemporal data.
• Constructed a high-resolution spatiotemporal panel combining hourly solar PV output and particulate matter data.
• Controlled for time and month fixed effects and meteorological variables using Newey–West regression.
• Explored non-linear relationship between pollution levels and PV generation.
• Utilized wind direction interaction models to assess the impact of transport pathways.
• PM10 and PM2.5 significantly reduced solar PV output, with a greater impact observed from PM2.5.
• The analysis indicates a nonlinear relationship between pollution and PV generation, with varying effects based on concentration levels.
• Directional wind interaction models confirm that PV output decreases more significantly with specific wind directions.

Abstract