Enhancing Photovoltaic Thermal System Efficiency Through Geometric Optimization and Intelligent Fuzzy Logic Based Management

Abstract

The growing demand for sustainable and efficient energy systems has intensified research into improving the performance of photovoltaic thermal (PVT) technologies. This study aims to enhance the electrical and thermal efficiency of PVT systems by integrating material design modifications with intelligent control strategies. A novel methodology is proposed, which involves reducing the thickness of the tedlar layer from 5 mm to 1 mm to improve heat dissipation, alongside the implementation of an adaptive fuzzy logic control (AFLC) system to dynamically regulate the cooling flow rate based on environmental conditions. The results show a notable improvement in system performance, with electrical efficiency increasing from 11.81% to 13.81%, thermal efficiency rising from 27% to 81%, and electrical power output improving from 243.8 W to 271 W under controlled cooling conditions. These findings demonstrate that the proposed integrated approach, named GO-AFLC, effectively maximizes the energy extraction from PVT systems. The combination of passive (material optimization) and active (intelligent control) strategies offers a promising pathway for advancing the performance and sustainability of hybrid solar energy systems.