Performance enhancement of photovoltaic thermal collectors using water based MnO2 nanofluids and machine learning models

Abstract This study investigates the enhancement of Photovoltaic-Thermal (PVT) collector performance through the combined use of water-based manganese dioxide (MnO2) nanofluids and machine learning (ML) models. Conventional PVT systems often suffer from elevated operating temperatures that degrade p...

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Autores principales:	M. P. Rajakumar, S. Senthil Kumar, B. Srimanickam, S. Srividhya, K. Elangovan, Nandagopal Kaliappan, K. Kamakshi Priya
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2025-11-01
Colección:	Scientific Reports
Materias:	Water MnO2 PVT Power Electrical efficiency Machine learning
Acceso en línea:	https://doi.org/10.1038/s41598-025-23505-x
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