Performance Prediction and Optimization of the Air‐Cooled Condenser in a Large‐Scale Power Plant Using Machine Learning-Reference-Cited by-同舟云学术

Performance Prediction and Optimization of the Air‐Cooled Condenser in a Large‐Scale Power Plant Using Machine Learning

Published:2021-05-09 Issue:7 Volume:9 Page:2100045
ISSN:2194-4288
Container-title:Energy Technology
language:en
Short-container-title:Energy Technol.

Author:

Chen Heng¹,Peng Weike¹,Nie Chunming¹,Xu Gang¹^ORCID,Lei Jing¹

Affiliation:

1. Beijing Key Laboratory of Emission Surveillance and Control for Thermal Power Generation North China Electric Power University Beijing 102206 China

Funder

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

North China Electrical Power University

Publisher

Wiley

Subject

General Energy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ente.202100045

Reference55 articles.

1. The potential for brackish water use in thermoelectric power generation in the American southwest

2. Decoupling between water use and thermoelectric power generation growth in China

3. Global scenarios for significant water use reduction in thermal power plants based on cooling water demand estimation using satellite imagery

4. Challenges in predicting steam-side pressure drop and heat transfer in air-cooled power plant condensers

5. Semi-empirical balance-based computational model of air-cooled condensers with the A-frame layout

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