Experimental study on the various varieties of photovoltaic panels (PVs) cooling systems to increase their electrical efficiency.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 10 04 2024
accepted: 09 07 2024
medline: 17 9 2024
pubmed: 17 9 2024
entrez: 16 9 2024
Statut: epublish

Résumé

This study investigates the impact of cooling methods on the electrical efficiency of photovoltaic panels (PVs). The efficiency of four cooling techniques is experimentally analyzed. The most effective approach is identified as water-spray cooling on the front surface of PVs, which increases efficiency by 3.9% compared to the case without cooling. The results show that water-spray cooling raises the PV's temperature to 41°C, while improving its average daytime efficiency to 22%. Air-cooling, water-cooling in the tubes behind the PV, and aluminum oxide-water nanofluid cooling in the tubes behind the PV improve efficiency by 1.1%, 1.9%, and 2.7%, respectively. The findings highlight the potential of water-spray cooling as a cost-effective and efficient method to enhance PV efficiency and contribute to the global effort towards renewable energy.

Identifiants

pubmed: 39283907
doi: 10.1371/journal.pone.0307616
pii: PONE-D-24-14470
doi:

Substances chimiques

Water 059QF0KO0R
Aluminum Oxide LMI26O6933

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0307616

Informations de copyright

Copyright: © 2024 Basem et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Ali Basem (A)

Air Conditioning Engineering Department, Faculty of Engineering, Warith Al-Anbiyaa University, Karbala, Iraq.

Azfarizal Mukhtar (A)

Institute of Sustainable Energy, Putrajaya Campus, Universiti Tenaga Nasional, Kajang, Malaysia.

Zakaria Mohamed Salem Elbarbary (ZM)

Electrical Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia.

Farruh Atamurotov (F)

New Uzbekistan University, Tashkent, Uzbekistan.
University of Public Safety of the Republic of Uzbekistan, Tashkent Region, Uzbekistan.
University of Tashkent for Applied Sciences, Tashkent, Uzbekistan.

Natei Ermias Benti (NE)

Computational Data Science Program, College of Computational and Natural Science, Addis Ababa University, Addis Ababa, Ethiopia.

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Classifications MeSH