A comparative study of AI-driven techno-economic analysis for grid-tied solar PV-fuel cell hybrid power systems

Abstract

The increasing global demand for clean and sustainable energy solutions has led to the integration of “renewable energy sources” and innovative technologies in power generation systems. In this context, “grid-tied solar photovoltaic (PV)-fuel cell hybrid power systems” have drawn considerable interest because of their potential to provide reliable and efficient energy generation. However, the complex interaction between solar PV and fuel cell components and the fluctuating nature of renewable energy sources necessitates a comprehensive techno-economic analysis. This research paper presents a comparative study of AI-driven approaches for conducting techno-economic analysis of “grid-tied solar PV-fuel cell hybrid power systems.” The study uses various AI techniques to analyze these hybrid systems' performance, economic viability, and environmental impact.