Prediction and Analysis of Dew Point Indirect Evaporative Cooler Performance by Artificial Neural Network Method

Prediction and Analysis of Dew Point Indirect Evaporative Cooler Performance by Artificial Neural Network Method

The artificial neural network method has been widely applied to the performance prediction of fillers and evaporative coolers, but its application to the dew point indirect evaporative coolers is rare. To fill this research gap, a novel performance prediction model for dew point indirect evaporative...

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Bibliographic Details
Main Authors: Huang, X. (Author), Liang, C. (Author), Liu, R. (Author), Sun, T. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Air conditioning
air conditioning unit
Air-conditioning units
Artificial neural network methods
Back Propagation
Backpropagation
BP neural networks
Cooling
dew point indirect evaporative cooling
Dew point indirect evaporative cooling
Dewpoint
Errors
Evaporation
Evaporative cooling systems
Forecasting
Indirect evaporative cooler
Mean square error
Neural networks
Particle swarm optimization (PSO)
performance prediction
Performance prediction
Propagation models
PSO-BP neural network
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