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...
المؤلفون الرئيسيون: | Lixin Zhang, Jie Chen, Shunan Zhao, Yongbao Chen, Huijuan Song, Jingnan Liu |
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التنسيق: | مقال |
اللغة: | English |
منشور في: |
Wiley
2023-08-01
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سلاسل: | Energy Science & Engineering |
الموضوعات: | |
الوصول للمادة أونلاين: | https://doi.org/10.1002/ese3.1498 |
مواد مشابهة
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Review on Application and Optimization of Cooling Technology for Cooling Tower
حسب: Yu Zhikang, وآخرون
منشور في: (2024-01-01) -
Cooling towers/
حسب: 292645 Gurney, J. D., وآخرون
منشور في: (1966) - Design of cooling towers
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Water cooling towers
حسب: 8096 British Standards Institution -
Cooling towers : principles and practice/
حسب: 396823 Hill, G. B., وآخرون
منشور في: (1990)