Abstract:

The present paper describes a new method of optimizing the operation of photovoltaic (PV) systems and AI and PCM cooling devices. The main objective is to reach the optimum level of power production and effective thermal control.An efficient tracker of the maximum power point (MPPT) control is obtained and applied to the technologies of artificial intelligence (AI) or, in other words, machine learning (ML). The artificial intelligence (AI) model can identify the most desirable operating point by monitoring real time measurements of photovoltaic (PV) modules resulting in high efficiency improvement in power generation. The phase change material (PCM) cooling systems can be used to cool the photovoltaic (PV) systems in a sustainable manner. Phase change materials (PCMs) are substances that capture and release the latent heat during the phase changing process to keep the photovoltaic (PV) modules in a constant operating temperature. The addition of the PCM cooling and AI-based MPPT that may help to make the system more efficient and reliable, in general. The efficiency of the proposed approach is also made sure because of the results of the experiment. The AI-operated PCM system of cooling systems offers a better output of power and reduction of operating temperature compared to passive cooling systems and other conventional means of MPPT. The research will contribute to the existing knowledge on photovoltaic (PV) technology and will offer specific data that can be used in designing and implementing renewable energy infrastructure in future