Researchers are exploring ways to improve the performance of solar air heaters using various methods, including experimental and ai-based predictions, as well as novel designs such as recycled interlocking channel fins and corrugated plates. Studies are also being conducted on the life cycle assessment and economic analysis of photovoltaic-based air heating systems, and the use of machine learning to predict soiling losses in photovoltaic modules. The investigations aim to enhance the efficiency and sustainability of solar air heating systems through different approaches and technologies.