LAPSE:2023.23786
Published Article
LAPSE:2023.23786
Cooling Performance Optimization of Direct Dry Cooling System Based on Partition Adjustment of Axial Flow Fans
March 27, 2023
Abstract
Axial flow fans play key roles in the thermo-flow performance of direct dry cooling system under windy conditions, so the energy efficiency of a power generating unit can be improved by optimizing the operation strategies of the axial flow fans. In this work, various measures based on the partition adjustment of axial flow fans with constant power consumption of a 2 × 660 MW power plant are studied by computational fluid dynamics (CFD) methods. The results show that increasing the rotational speed of the windward fans is beneficial to reduce the inlet air temperature and increase the mass flow rates of the fans, which enhance the heat rejections of the air-cooled condensers, especially at high wind speeds. Moreover, the turbine back pressures for the optimal and original cases are achieved by iterative methods, with the largest drop of 2.77 kPa at the wind speed of 12 m/s for 110-case 3 in the wind direction of −90°. It is recommended to adopt 110-case 1 and 110-case 3 at low and high wind speeds, respectively, in the wind directions of 90° and −90°, while 110-case 2 is always the best choice in the 0° wind direction.
Axial flow fans play key roles in the thermo-flow performance of direct dry cooling system under windy conditions, so the energy efficiency of a power generating unit can be improved by optimizing the operation strategies of the axial flow fans. In this work, various measures based on the partition adjustment of axial flow fans with constant power consumption of a 2 × 660 MW power plant are studied by computational fluid dynamics (CFD) methods. The results show that increasing the rotational speed of the windward fans is beneficial to reduce the inlet air temperature and increase the mass flow rates of the fans, which enhance the heat rejections of the air-cooled condensers, especially at high wind speeds. Moreover, the turbine back pressures for the optimal and original cases are achieved by iterative methods, with the largest drop of 2.77 kPa at the wind speed of 12 m/s for 110-case 3 in the wind direction of −90°. It is recommended to adopt 110-case 1 and 110-case 3 at low and high wind speeds, respectively, in the wind directions of 90° and −90°, while 110-case 2 is always the best choice in the 0° wind direction.
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Keywords
air-cooled condenser, axial flow fan, cooling performance, direct dry cooling system, partition adjustment, turbine back pressure
Subject
Suggested Citation
Huang W, Chen L, Wang W, Yang L, Du X. Cooling Performance Optimization of Direct Dry Cooling System Based on Partition Adjustment of Axial Flow Fans. (2023). LAPSE:2023.23786
Author Affiliations
Huang W: Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Ministry of Education, Beijing 102206, China; School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Chen L: Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Ministry of Education, Beijing 102206, China; School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Wang W: Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Ministry of Education, Beijing 102206, China; School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Yang L: Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Ministry of Education, Beijing 102206, China; School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Du X: Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Ministry of Education, Beijing 102206, China; School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China [ORCID]
Chen L: Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Ministry of Education, Beijing 102206, China; School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Wang W: Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Ministry of Education, Beijing 102206, China; School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Yang L: Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Ministry of Education, Beijing 102206, China; School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Du X: Key Laboratory of Condition Monitoring and Control for Power Plant Equipment, Ministry of Education, Beijing 102206, China; School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China [ORCID]
Journal Name
Energies
Volume
13
Issue
12
Article Number
E3179
Year
2020
Publication Date
2020-06-19
ISSN
1996-1073
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PII: en13123179, Publication Type: Journal Article
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LAPSE:2023.23786
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https://doi.org/10.3390/en13123179
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