Optimizing base fluid composition for PEMFC cooling: A machine learning approach to balance thermal and rheological performance

Optimizing base fluid composition for PEMFC cooling: A machine learning approach to balance thermal and rheological performance

Abstract The Proton Exchange Membrane Fuel Cell (PEMFC) is a highly efficient and eco-friendly technology, making it a pivotal solution for sustainable energy systems. Effective thermal management of PEMFCs is essential, and nanofluids have emerged as superior coolants compared to conventional fluid...

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Bibliographic Details
Main Authors: Praveen Kumar Kanti, Prashantha Kumar H. G, Nejla Mahjoub Said, V. Vicki Wanatasanappan, Prabhu Paramasivam, Leliso Hobicho Dabelo
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Aluminium oxide
Proton exchange membrane fuel cell
Reduced graphene oxide
Thermal conductivity
Viscosity
Online Access:https://doi.org/10.1038/s41598-025-11542-5
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https://doi.org/10.1038/s41598-025-11542-5

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