Performance enhancement of a C-shaped printed circuit heat exchanger in supercritical CO2 Brayton cycle: A machine learning-based optimization study

Performance enhancement of a C-shaped printed circuit heat exchanger in supercritical CO2 Brayton cycle: A machine learning-based optimization study

The present work is focused on enhancing the overall thermo-hydraulic performance of a previously proposed C-shaped printed circuit heat exchanger (PCHEs) using Machine Learning (ML) Algorithms. In this context, CFD analysis is carried out on 81 different channel configurations of the C-shaped chann...

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Bibliographic Details
Main Authors: Muhammad Saeed, Abdallah S. Berrouk, Yasser F. Al Wahedi, Munendra Pal Singh, Ibragim Abu Dagga, Imran Afgan
Format: Article
Language:English
Published: Elsevier 2022-10-01
Series:Case Studies in Thermal Engineering
Subjects:
sCO2 Brayton cycle
Printed circuit heat exchangers
Machine learning
Deep neural network
Thermal-hydraulic performance
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X22005226

Internet

http://www.sciencedirect.com/science/article/pii/S2214157X22005226

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