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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Main Authors: Lixin Zhang, Jie Chen, Shunan Zhao, Yongbao Chen, Huijuan Song, Jingnan Liu
פורמט: Article
שפה:English
יצא לאור: Wiley 2023-08-01
סדרה:Energy Science & Engineering
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גישה מקוונת:https://doi.org/10.1002/ese3.1498