Design of Energy Capture of Heliostatic Field based on Geometric Method and Intelligent Optimization

In renewable energy, improving the design of heliostat mirrors, which help convert sunlight into electricity, is very important for making solar power systems work better. This study seeks to improve how heliostat fields are designed using better optimization methods to increase the amount of energy they can collect. First, we look at how the heliostat mirror field works in theory. Then, we create a detailed mathematical model to study how well it uses light. Next, we use a geometric method to set up the layout of the heliostat mirrors. Then, we apply particle swarm algorithms to improve the mirror positions and angles. This helps us collect the most solar energy possible. This research offers a new way to improve the design of heliostat mirror fields. It also gives a possible plan and theory that can help design other kinds of solar energy devices.