Experimental Investigation on Improvement of Wet Cooling Tower Efficiency with Diverse Packing Compaction Using ANN-PSO Algorithm
In this study, a numerical and empirical scheme for increasing cooling tower performance is developed by combining the particle swarm optimization (PSO) algorithm with a neural network and considering the packing’s compaction as an effective factor for higher accuracies. An experimental setup is use...
Main Authors: | Hasan Alimoradi, Madjid Soltani, Pooriya Shahali, Farshad Moradi Kashkooli, Razieh Larizadeh, Kaamran Raahemifar, Mohammad Adibi, Behzad Ghasemi |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/14/1/167 |
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