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Synergistic optimization study of cooling tower packing and non-uniform water distribution
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Weishu WANG1, Ming GAO2, Mingyong WANG3, Lujun LI4, Zhen ZHANG1, Xinwei GUO1, Jie WANG1
Thermal Power Generation | 2023, 52(5) : 100 - 106
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Thermal Power Generation | 2023, 52(5): 100-106
Thermal energy and science research
Synergistic optimization study of cooling tower packing and non-uniform water distribution
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Weishu WANG1, Ming GAO2, Mingyong WANG3, Lujun LI4, Zhen ZHANG1, Xinwei GUO1, Jie WANG1
Affiliations
  • 1.College of Energy and Power Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
  • 2.School of Energy and Power Engineering, Shandong University, Jinan 250061, China
  • 3.Xi'an Thermal Power Research Institute Co., Ltd., Xi'an 710054, China
  • 4.China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Published: 2023-05-25 doi: 10.19666/j.rlfd.202212293
Outline
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In order to improve the cooling performance of cooling tower, this study takes a 300 MW unit cooling tower in the north as an example, establishes a 3D numerical calculation model of cooling tower, compares the effect of non-equal packing in two and three zones on the outlet tower water temperature, determines the optimal radius dividing point, and cooperates with non-uniform water distribution for optimization, analyzes the effect of different optimization schemes on the air flow rate, tower water temperature and ventilation volume in the outlet tower. The results show that the cooling performance is improved with the exit tower water temperature of 31.798 ℃and 31.696 ℃ under the non-equally spaced packing in the second and third divisions, respectively. The coupling optimization of non-equally spaced packing with non-uniform water distribution significantly improves the uniformity of aerodynamic and temperature fields. With the increase of water distribution in the inner zone, the outlet water temperature and ventilation volume both show a trend of first increase and then decrease, and the optimal water distribution in the inner zone is 50%, and the outlet tower water temperature is 31.36 ℃ and ventilation volume is 7 122.8 kg/s. Compared with 26 mm and 30 mm equidistant packing arrangement, after collaborative optimization, the water temperature of the tower is reduced by 0.768 ℃ and 0.83 ℃, respectively, and the cooling performance is significantly improved.

cooling tower  /  non-equidistant fillings  /  non-uniform water distribution  /  numerical simulation
Weishu WANG, Ming GAO, Mingyong WANG, Lujun LI, Zhen ZHANG, Xinwei GUO, Jie WANG. Synergistic optimization study of cooling tower packing and non-uniform water distribution[J]. Thermal Power Generation, 2023 , 52 (5) : 100 -106 . DOI: 10.19666/j.rlfd.202212293
  • National Natural Science Foundation of China(51776111)
  • Key Scientific &Technological Project of Henan Province(172102310747)
Year 2023 volume 52 Issue 5
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Article Info
doi: 10.19666/j.rlfd.202212293
  • Receive Date:2022-12-07
  • Online Date:2026-01-23
  • Published:2023-05-25
Article Data
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History
  • Received:2022-12-07
Funding
National Natural Science Foundation of China(51776111)
Key Scientific &Technological Project of Henan Province(172102310747)
Affiliations
    1.College of Energy and Power Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
    2.School of Energy and Power Engineering, Shandong University, Jinan 250061, China
    3.Xi'an Thermal Power Research Institute Co., Ltd., Xi'an 710054, China
    4.China Institute of Water Resources and Hydropower Research, Beijing 100038, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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