Applied thermal engineering2022,Vol.20612.DOI:10.1016/j.applthermaleng.2022.118105

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

Chen K. Sun F. Chen X. Zhang X. Zhang L.
Applied thermal engineering2022,Vol.20612.DOI:10.1016/j.applthermaleng.2022.118105

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

Chen K. 1Sun F. 1Chen X. 1Zhang X. 1Zhang L.2
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作者信息

  • 1. School of Energy and Power Engineering Shandong University
  • 2. Shenyang Academy of Environmental Sciences
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Abstract

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 α3 and α4 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.

Key words

Crosswind/Natural draft wet cooling tower/Prediction method/Thermal model test/Thermal performance

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出版年

2022
Applied thermal engineering

Applied thermal engineering

EISCI
ISSN:1359-4311
被引量8
参考文献量46
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