A sensitivity-coefficients method for predicting thermal performance of natural draft wet cooling towers under crosswinds

被引:15
作者
Chen, Kun [1 ]
Sun, Fengzhong [1 ]
Zhang, Lei [2 ]
Chen, Xuehong [1 ]
Zhang, Xiaoyu [1 ]
机构
[1] Shandong Univ, Sch Energy & Power Engn, Jinan 250061, Peoples R China
[2] Shenyang Acad Environm Sci, Shenyang, Peoples R China
关键词
Natural draft wet cooling tower; Thermal performance; Crosswind; Thermal model test; Prediction method; NUMERICAL-SIMULATION; FLOW; WIND; EFFICIENCY; RADIATORS; CAPACITY; DESIGN;
D O I
10.1016/j.applthermaleng.2022.118105
中图分类号
O414.1 [热力学];
学科分类号
摘要
The thermal performance of natural draft wet cooling tower (NDWCT), which can be evaluated through the Merkel number and outlet water temperature, is greatly affected by the environmental crosswinds and has important impact on the economical and safe operation of power plant. Previous studies on the impact of crosswinds were mainly based on two methods include numerical simulation and experimental research, which caused high economical and time costs. This study proposes a sensitivity-coefficient method for predicting thermal performance of NDWCT under different conditions. This method consists of two processes. First, according to the principle of aerodynamic and thermal balance, the performance parameters are iteratively calculated under windless condition. Next, based on the above results, the prediction method for thermal performance under crosswinds, in which two sensitivity coefficients, namely alpha 3 and alpha 4 are introduced, is proposed by combining theoretical analysis and experimental research. Using the proposed method, the performance parameters of a practical NDWCT are predicted, and the error between the predicted values and the measured or numerical values meets the accuracy requirements. Therefore, this method can conveniently and accurately analyze the change in NDWCT thermal performance under variable working conditions.
引用
收藏
页数:12
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