Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption

Artificial intelligence-assisted characterization and optimization of red mud-based nanofluids for high-efficiency direct solar thermal absorption

The utilization of nanofluids (NFs) holds promise for enhancing the thermal efficiency of solar thermal collectors. Among the various NF solutions, red mud (RM) NFs have gained attention due to their effective absorption of solar thermal energy. RM comprises precious metal oxides, making it a profic...

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Bibliographic Details
Main Authors: K. Praveen Kumar, Rohit Khedkar, Prabhakar Sharma, Rajvikram Madurai Elavarasan, Prabhu Paramasivam, V. Vicki Wanatasanappan, Sesathiri Dhanasekaran
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Case Studies in Thermal Engineering
Subjects:
Machine learning
Red mud
Solar energy
Specific heat
Thermal properties
Waste material
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X24001187

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http://www.sciencedirect.com/science/article/pii/S2214157X24001187

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