V3I5P98

Solar Plant Shadow Analysis 

Dr. P. Chandra Sekhar^1*, M. Vennela², M. Ajay³, T. Sravani⁴

Abstract

Solar energy has emerged as one of the most promising renewable energy sources, with solar photovoltaic (PV) plants playing a key role in meeting global energy demands sustainably. For optimal performance and efficiency, solar panels must receive maximum sunlight throughout the day. However, shadows caused by nearby structures, terrain, vegetation, or even other panels can significantly reduce energy output, leading to performance losses and long-term financial impacts. Shadow analysis in a solar power plant is a critical process that involves evaluating and predicting the shading patterns over time to minimize energy losses. By identifying potential shading obstacles and understanding their impact on solar radiation, engineers can optimize panel placement, tilt angles, and row spacing to maximize energy yield. This paper focuses on conducting a detailed shadow analysis for a solar plant, aiming to improve system efficiency and ensure better energy production forecasting. It includes the use of simulation tools, geometric modeling, and irradiance calculations to assess shading effects under various environmental and seasonal conditions.

Keywords:

Partial Shading Condition (PSC), Inter-Row Shading (Self-Shading), Shading Matrix