Abstract:

This study takes a unique approach to boosting photovoltaic (PV) system performance by combining fuzzy logic with nanofluid cooling technologies. Maximizing power generation While assuring proper thermal control is the main goal, maximum power point tracking (MPPT) employs fuzzy logic, a strong technique for working with Fuzzy logic controllers use imprecision and uncertainty to produce a reliable solution. They can adapt to a variety of environmental conditions and PV module characteristics thanks to their design. It combines linguistic features with fuzzy rules, allowing for precise monitoring of the maximum power point (MPP). Nanofluids are special fluids that contain Nanofluids containing scattered nanoparticles have higher thermal conductivity than traditional refrigerants. The use of nanofluids incorporated into the powerplant can improve power generation efficiency. The cooling system of a PV system, which promotes heat dissipation and reduces operating temperatures, is one of the proposed strategies that greatly improve the efficiency of photovoltaic (PV) systems. By combining the advantages of nanofluid cooling with fuzzy logic. According to empirical findings, the Maximum Power Point Tracking (MPPT) technique based on On fuzzy logic, it effectively monitors the Maximum Power Point (MPP) under a variety of operational conditions. Improved power output and system operating efficiency. The nanofluid cooling system efficiently lowers the PV modules' operating temperature, resulting in increased power output and efficiency. To improve the performance of photovoltaic (PV) systems, a very This research makes a significant contribution to the advancement of photovoltaic (PV) technology by offering essential insights for The design and development of sustainable energy systems