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

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.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Hybrid optimization strategy for water cooling system: enhancement of photovoltaic panels performance ; volume:11 ; number:1 ; year:2024 ; extent:10
Energy Harvesting and Systems ; 11, Heft 1 (2024) (gesamt 10)

Creator
Singh, Vijay Pal
Arya, Sandeep Kumar
Shankar, Ajay

DOI
10.1515/ehs-2023-0091
URN
urn:nbn:de:101:1-2024022013181103059229
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:52 AM CEST

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Associated

  • Singh, Vijay Pal
  • Arya, Sandeep Kumar
  • Shankar, Ajay

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