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...
| Главные авторы: | , , , , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
Wiley
2023-08-01
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| Серии: | Energy Science & Engineering |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1002/ese3.1498 |