Experimental Investigation on Improvement of Wet Cooling Tower Efficiency with Diverse Packing Compaction Using ANN-PSO Algorithm

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...

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Bibliographic Details
Main Authors: Hasan Alimoradi, Madjid Soltani, Pooriya Shahali, Farshad Moradi Kashkooli, Razieh Larizadeh, Kaamran Raahemifar, Mohammad Adibi, Behzad Ghasemi
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Energies
Subjects:
cooling tower
packing compaction
artificial neural network (ANN)-PSO
mathematical correlations
Online Access:https://www.mdpi.com/1996-1073/14/1/167

Internet

https://www.mdpi.com/1996-1073/14/1/167

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