Solar Water Heater Enhancement Using Convex Lenses and Artificial Intelligence

Researchers are looking at creative ways to capture renewable energy sources as a result of growing environmental and energy sustainability concerns. In order to address these issues, solar water heaters have developed as a potential technology that uses solar energy for both home and commercial water heating needs. This research study outlines a revolutionary method for improving solar water heater efficiency through the combination of convex lenses and artificial intelligence (AI) control systems. The suggested solar water heater system makes use of AI and optical principles to maximise the capture and use of solar energy. Strategically placed convex lenses direct sunlight onto the absorber surface, boosting incident solar radiation and thermal energy absorption. Even in a variety of weather situations, this causes the water temperatures within the system to be increased. An AI control system is used to dynamically modify the location of the convex lenses based on real-time sun tracking data in order to further improve system performance. Machine learning algorithms forecast the ideal lens positions for maximising energy capture by analysing meteorological data and previous performance data. With the help of an intelligent control system that adjusts to shifting weather patterns and sun ray positions, efficient energy use is guaranteed throughout the day. Under a variety of environmental conditions, the experimental evaluation of the suggested solar water heater system was carried out. Analyses that contrasted the AI-enhanced system with conventional solar water heaters showed considerable gains in energy efficiency and water heating capacity. The AI-controlled convex lens setup showed an energy gain of 67% on average over baseline systems, indicating its potential to aid in energy conservation and cost cutting. In summary, this research demonstrates a ground-breaking strategy for improving solar water heater efficiency by combining convex lenses and AI-based control systems. This system is an important addition to the world of renewable energy since it assures the best solar energy capture and utilization via the use of optical manipulation and cognitive decision-making. In addition to providing insights into the synergistic combination of optics and AI, the findings reported in this research lay the groundwork for the advancement of sophisticated solar thermal technologies with broader applications.