As global energy demand accelerates, conventional silicon solar panels are approaching their practical efficiency limits. This research proposes the development of adaptive perovskite–silicon tandem solar cells enhanced with AI-driven performance optimization to significantly increase energy yield while reducing material costs.

The project explores three core innovations:

1. High-Stability Perovskite Layer Engineering – Designing moisture-resistant perovskite compositions to extend operational lifespan beyond 25 years.
2. Dynamic Energy Optimization System – Integrating lightweight AI monitoring tools to adjust performance in real time based on temperature, irradiance, and shading conditions.
3. Scalable Manufacturing Pathways – Developing low-temperature fabrication techniques compatible with existing silicon production lines to accelerate commercialization.

By improving conversion efficiency beyond 30% while maintaining affordability, this research aims to reduce the levelized cost of solar electricity and expand deployment in emerging markets. The long-term vision is to create adaptable solar modules capable of maximizing output in diverse climate conditions, from high-humidity coastal regions to high-heat desert environments