Hybrid optimization strategy for water cooling system: enhancement of photovoltaic panels performance

• Published in: Energy Harvesting and Systems
• Main Authors: Singh, Vijay Pal, Arya, Sandeep Kumar, Shankar, Ajay
• Format: Article in Journal/Newspaper
• Language: English
• Published: Walter de Gruyter GmbH 2024
• Subjects: Electrochemistry; Electrical and Electronic Engineering; Energy Engineering and Power Technology; Renewable Energy, Sustainability and the Environment; Beluga; Beluga whale; Beluga*
• Online Access: http://dx.doi.org/10.1515/ehs-2023-0091; https://www.degruyter.com/document/doi/10.1515/ehs-2023-0091/xml; https://www.degruyter.com/document/doi/10.1515/ehs-2023-0091/pdf

Abstract Solar energy is the most effective substitute for fossil fuels when it comes to Produce electricity among the numerous renewable energy sources. The efficiency may drop as a result of overheating, and the PV cell may also be harmed. Therefore, increasing the output of a solar PV system at a lower cost is essential to improving its efficiency. Additionally, by using cooling methods, the PV cells’ lifetime is extended. By lowering the working temperature of a PV panel’s surface, you may increase efficiency and slow the thermal deterioration rate. This may be done by module cooling and lowering the heat that the PV cells generate while operating. Hence, an active cooling technology known as optimization-aided water spraying technique is employed to increase efficiency. This method enables the PV panels to provide their maximum output power while taking less time to drop down to a lower surface temperature. Beluga Whale assisted Jellyfish Optimization (BWJO) model is suggested as a means of achieving these goals. Finally, Simulink/MATLAB is used to implement the suggested method and optimize the PV system cooling. The performances of the two components were compared using a variety of metrics.