三区协同增效模式对湿式冷却塔热力阻力性能影响的变工况研究

薛永锋; 金俊先; 杨继冲; 王友昊; 何锁盈; 高明

doi:10.19805/j.cnki.jcspe.2025.240385

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三区协同增效模式对湿式冷却塔热力阻力性能影响的变工况研究

动力设备与系统 | 更新时间：2026-10-10

- 三区协同增效模式对湿式冷却塔热力阻力性能影响的变工况研究
- Study on the Effect of Three-zone Synergistic Efficiency Enhancement Pattern on Thermal and Resistance Performance of Wet Cooling Tower Under Variable Operating Conditions
- 动力工程学报 2025年45卷第8期页码：1194-1201
- 作者机构：
  
  1. 国家能源集团科学技术研究院有限公司,辽宁,沈阳,110102
  2. 山东大学能源与动力工程学院,山东,济南,250061
- 作者简介：
  
  薛永锋(1981—),男,辽宁营口人,高级工程师,主要研究方向为汽轮机经济分析与优化运行
  高明(通信作者),男,教授,博士,E-mail:gm@sdu.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(51776111)
- DOI：10.19805/j.cnki.jcspe.2025.240385
  中图分类号：
- 网络首发：2025-08-12，
  
  纸质出版：2025
- 稿件说明：
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薛永锋,金俊先,杨继冲,王友昊,何锁盈,高明. 三区协同增效模式对湿式冷却塔热力阻力性能影响的变工况研究动力工程学报, 2025, 45(8): 1194-1201 https://doi.

org/10.19805/j.cnki.jcspe.2025.240385
薛永锋,金俊先,杨继冲,王友昊,何锁盈,高明. 三区协同增效模式对湿式冷却塔热力阻力性能影响的变工况研究动力工程学报, 2025, 45(8): 1194-1201 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.240385.

org/10.19805/j.cnki.jcspe.2025.240385 DOI：

摘要

以某1 000 MW机组的大型湿式冷却塔为研究对象

构建了基于分区配水、填料非等片距布置和干湿混合雨区的三区协同增效模式三维数值计算模型

并且验证了其准确性。重点开展了三区协同增效模式对湿式冷却塔热力阻力性能影响的变工况研究。结果表明:不同工况下

三区协同冷却塔的热力阻力性能均显著优于常规冷却塔。在循环水流量、进塔水温度、空气干球温度和空气湿度的研究范围内

采用三区协同增效模式后

水温降平均增加了0.63~0.72 K

冷却效率平均增加了3.66~4.11百分点

冷却数平均增加了0.16~0.20

通风量平均增加了10.54%~10.91%。

Abstract

Taking a large wet cooling tower of a 1 000 MW unit as the research object

a 3D numerical calculation model of the three-zone synergistic efficiency enhancement pattern was established based on partition water distribution

non-equidistant fillings layout and dry-wet hybrid rain zone

and the accuracy of model was validated. Meanwhile

researches were emphatically conducted on the effect of the three-zone synergistic efficiency enhancement pattern on the thermal and resistance performance of the wet cooling tower under variable operating conditions. Results show that the thermal and resistance performance of the three-zone synergistic cooling tower is significantly superior to that of the conventional cooling tower under variable operating conditions. Within the study range of circulating water flow rate

tower inlet water temperature

air dry-bulb temperature and air humidity

after adopting the three-zone synergistic efficiency enhancement pattern

the water temperature drop is increased by 0.63-0.72 K on average

the cooling efficiency is increased by 3.66-4.11 percentage points on average

the Merkel number is increased by 0.16-0.20 on average

and the ventilation rate is increased by 10.54%-10.91% on average.

关键词

Keywords

references

陈瑞, 张德英, 高明, 等. 侧风下填料非等片距布置对超大冷却塔性能影响的数值模拟[J]. 中国电机工程学报, 2022, 42(9): 3338-3345. CHEN Rui, ZHANG Deying, GAO Ming, et al. Numerical study regarding performance impact for non-equidistant fillings in super-large cooling towers under crosswind[J]. Proceedings of the CSEE, 2022, 42(9): 3338-3345.

贾明晓, 胡三季, 韩立, 等. 1000 MW机组高位收水冷却塔热力性能试验研究[J]. 动力工程学报, 2017, 37(9): 751-756, 772. JIA Mingxiao, HU Sanji, HAN Li, et al. Thermal performance study of a high-level water collecting cooling tower for 1000 MW units[J]. Journal of Chinese Society of Power Engineering, 2017, 37(9): 751-756, 772.

BAI Guanghui, CHANG Hao, LI Wei, et al. Numerical study on water distribution of natural draft wet cooling towers under crosswind[J]. Mechanical Engineering Journal, 2022, 9(4): 21-00409.

金台, 张力, 唐磊, 等. 自然通风湿式冷却塔配水优化的三维数值研究[J]. 中国电机工程学报, 2012, 32(2): 9-15. JIN Tai, ZHAGN Li, TANG Lei, et al., Three-dimensional numerical study on water-distribution optimization in a natural draft wet cooling tower[J]. Proceedings of the CSEE, 2012, 32(2): 9-15.

LI Hongwei, DUAN Wenbo, WANG Suobin, et al. Numerical simulation study on different spray rates of three-area water distribution in wet cooling tower of fossil-fuel power station[J]. Applied Thermal Engineering, 2018, 130: 1558-1567.

ZHOU Xiaohui, WANG Weijia, CHEN Lei, et al. Numerical investigation on novel water distribution for natural draft wet cooling tower[J]. International Journal of Heat and Mass Transfer, 2021, 181: 121886.

王淼, 王锦, 张超. 优化填料布置及配水对冷却塔性能的影响[J]. 哈尔滨工业大学学报, 2018, 50(8): 124-131. WANG Miao, WANG Jin, ZHAGN Chao. Effect of fill layout and water flow rate distribution on the performance for cooling tower[J]. Journal of Harbin Institute of Technology, 2018, 50(8): 124-131.

CHEN Rui, ZHANG Deying, ZHANG Zhengqing, et al. Numerical study regarding cooling capacity for non-equidistant fillings in large-scale wet cooling towers[J]. Case Studies in Thermal Engineering, 2021, 26: 101103.

YANG Jichong, JIA Zhenguo, GUAN Hongjun, et al. Influence of three different pitches fillings on the cooling performance of wet cooling towers under crosswind[J]. Applied Thermal Engineering, 2023, 220: 119760.

ZHAGN Deying, ZHANG Zhengqing, HAN Qiang, et al. Numerical simulation on synergetic optimization of non-equidistant fillings and non-uniform water distribution for wet cooling towers[J]. International Journal of Heat and Mass Transfer, 2021, 179: 121676.

王为术, 高明, 王明勇, 等. 冷却塔填料及非均匀配水协同优化研究[J]. 热力发电, 2023, 52(5): 100-106. WANG Weishu, GAO Ming, WANG Mingyong, et al. Synergistic optimization study of cooling tower packing and non-uniform water distribution[J]. Thermal Power Generation, 2023, 52(5): 100-106.

步兆彬, 孙更生, 江广旭, 等. 填料非均匀布置耦合分区配水对湿式冷却塔热力性能的影响[J]. 动力工程学报, 2023, 43(11): 1413-1420. BU Zhaobin, SUN Gengsheng, JIANG Guangxu, et al. Effect of non-uniform layout of packing coupled with partition water distribution on thermal performance of wet cooling tower[J]. Journal of Chinese Society of Power Engineering, 2023, 43(11): 1413-1420.

ZHANG Zhengqing, GAO Ming, DANG Zhigang, et al. An exploratory research on performance improvement of super-large natural draft wet cooling tower based on the reconstructed dry-wet hybrid rain zone[J]. International Journal of Heat and Mass Transfer, 2019, 142: 118465.

ZHANG Zhengqing, WANG Mingyong, LIU Yang, et al. An exploratory research on performance improvement of super-large natural draft wet cooling tower based on the reconstructed dry-wet hybrid rain zone, part 2: crosswind effects[J]. International Journal of Heat and Mass Transfer, 2020, 160: 120225.

DANG Zhigang, ZHANG Zhengqing, GAO Ming, et al. Numerical simulation of thermal performance for super large-scale wet cooling tower equipped with an axial fan[J]. International Journal of Heat and Mass Transfer, 2019, 135: 220-234.

ZHANG Deying, CHEN Rui, ZHANG Zhengqing, et al. Crosswind influence on heat and mass transfer performance for wet cooling tower equipped with an axial fan[J]. Case Studies in Thermal Engineering, 2021, 27: 101259.

YANG Jichong, GAO Ming, WANG Mingyong, et al. Synergistic optimization of partition water distribution, non-equidistant fillings and dry-wet hybrid rain zone for wet cooling towers[J]. Applied Thermal Engineering, 2023, 231: 120940.

YANG Jichong, YUAN Xiaojing, WANG Mingyong, et al. Influence mechanism of the three-zone synergistic efficiency-enhancing pattern on the 3D flow field and thermal resistance characteristics for wet cooling towers[J]. International Communications in Heat and Mass Transfer, 2023, 149: 107170.

LI Xin, SUN Fengzhong, CHEN Xuehong, et al. Impact mechanism of the chip muffler layout patterns on the cooling performance of wet cooling towers[J]. Applied Thermal Engineering, 2019, 161: 114058.

刘伟, 赵汶. 大型湿冷机组冷却塔性能试验标准的计算和评价方法差异分析[J]. 动力工程学报, 2020, 40(9): 728-734. LIU Wei, ZHAO Wen. Difference analysis on calculation and evaluation methods in the standards for cooling tower performance tests of large wet cooling units[J]. Journal of Chinese Society of Power Engineering, 2020, 40(9): 728-734.

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