Performance analysis and machine learning algorithms of parabolic trough solar collectors using Al2O3-MWCNT as a hybrid nanofluid

Performance analysis and machine learning algorithms of parabolic trough solar collectors using Al2O3-MWCNT as a hybrid nanofluid

The critical importance of developing solar energy technologies for sustainable power generation places a high priority on the crucial efforts to optimize the performance of parabolic trough solar collector (PTSC) systems. This study focuses on optimizing the volume frictions of the hybrid nanofluid...

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Bibliographic Details
Main Author: Abdulelah Alhamayani
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Case Studies in Thermal Engineering
Subjects:
Parabolic trough solar collector
Machine learning
Artificial neural network (ANN)
Hybrid nanofluids
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X24003526

Internet

http://www.sciencedirect.com/science/article/pii/S2214157X24003526

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