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A Novel Approach for Energy Efficiency Prediction of Various Natural Draft Wet Cooling Towers Using ANN

SONG Jialiang CHEN Yongdong WU Xiaohong RUAN Shengqi ZHANG Zhongqing

热科学学报（英文版）2021，Vol.30Issue(3)：859-868,10.

A Novel Approach for Energy Efficiency Prediction of Various Natural Draft Wet Cooling Towers Using ANN

SONG Jialiang ¹CHEN Yongdong ¹WU Xiaohong ¹RUAN Shengqi ²ZHANG Zhongqing¹

作者信息

1. Research Institute of Heat Transfer Technology and Equipment, Hefei General Machinery Research Institute Co.,LTD (HGMRI), Hefei 230031, China
2. East China Electric Power Test & Researcher Institute, China Datang Corporation Science and Technology Research Institute Co., LTD, Hefei 230088,China
折叠

摘要

关键词

natural draft wet cooling tower/artificial neural network (ANN)/energy efficiency/evaporation loss of water/power plant

Key words

natural draft wet cooling tower/artificial neural network (ANN)/energy efficiency/evaporation loss of water/power plant

引用本文复制引用

SONG Jialiang,CHEN Yongdong,WU Xiaohong,RUAN Shengqi,ZHANG Zhongqing..A Novel Approach for Energy Efficiency Prediction of Various Natural Draft Wet Cooling Towers Using ANN[J].热科学学报（英文版）,2021,30(3):859-868,10.

基金项目

This work is supported by the National Key R&D Program of China (Grant No.2017YFF0209803). （Grant No.2017YFF0209803）

热科学学报（英文版）

OACSCDEISCI

ISSN：1003-2169

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