Research of cooling tower filler based on radial basis function artificial neural network (RBF ANN)

Research of cooling tower filler based on radial basis function artificial neural network (RBF ANN)

Abstract The filler is the core component of the cooling tower, filler performance refers to both its thermal and flow resistance characteristics, which use empirical formulas of tower characteristic N, volumetric mass transfer coefficient βxv, and pressure drop ΔP obtained through experimentation u...

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Manylion Llyfryddiaeth
Prif Awduron: Lixin Zhang, Jie Chen, Shunan Zhao, Yongbao Chen, Huijuan Song, Jingnan Liu
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: Wiley 2023-08-01
Cyfres:Energy Science & Engineering
Pynciau:
cooling tower
filler
RBF ANN
resistance performance
thermal performance
Mynediad Ar-lein:https://doi.org/10.1002/ese3.1498

Rhyngrwyd

https://doi.org/10.1002/ese3.1498

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