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ABSTRACT LIBRARY

Optimization of Solar Panel Efficiency Using Fuzzy Logic-Based MPPT and Phase Change Material Cooling Techniques

Publisher: IEEE

Authors: Sharma Puneet, GLA University Badhoutiya Arti, GLA University

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Abstract:

Renewable energy can only be commercially viable and economically viable when solar panels are streamlined to bring out their optimum capacity. The study will illuminate a novel concept of improving the performance of solar panels with the combination of PCM cooling and MPPT founded on the Fuzzy Logic. The Fuzzy Logic controller, optimizes the Maximum Power Point Tracking (MPPT) system by making real time changes on the voltage which is operated. This ensures that the panel is at all times in optimal power point regardless of what the climate may be. At the same time, the capacity of PCM to take heat energy in can maintain a constant temperature of the panel and minimize heat loss, thereby avoiding burnouts. Based on the experimental finding, this hybrid system maintains an operational stability and significantly enhances the energy conversion efficiency. Maximum power point tracking (MPPT), intelligent control, and passive cooling is a combination of which can be proposed as a long term solution to better solar energy systems in varying climates. The research contributes to the increased number of literature on the importance of increasing the effectiveness and reliability of solar technology to be widely used

Keywords: solar, energy, efficiency, cooling, hybrid

Published in: 2024 Asian Conference on Communication and Networks (ASIANComNet)

Date of Publication: --

DOI: -

Publisher: IEEE

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