A novel computational approach to accelerate shading and blocking efficiency in solar tower power plants

This study presents a novel computational approach to enhance the efficiency of calculating shading and blocking in heliostat fields for solar tower power plants. Traditional methods for determining shading and blocking efficiency often involve substantial computational overhead due to the need to evaluate numerous heliostats within a field. To address this, our proposed method focuses on predicting potential heliostats that may cause shading or blocking, thereby significantly reducing the computation time and resource consumption. Through experimental validation, we demonstrate that our method maintains high computational accuracy and reliability while improving computational efficiency. This approach is critical for optimizing heliostat field layouts, ultimately leading to improved efficiency and reduced costs in solar tower power stations.