Coupling model and solving approach for performance evaluation of natural draft counter-flow wet cooling towers
When searching for the optimum condenser cooling water flow in a thermal power plant with natural draft cooling towers, it is essential to evaluate the outlet water temperature of cooling towers when the cooling water flow and inlet water temperature change. However, the air outlet temperat...
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VINCA Institute of Nuclear Sciences
2016-01-01
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doaj-2e81238b5cc747ebb9c862118bce98272021-01-02T07:38:42ZengVINCA Institute of Nuclear SciencesThermal Science0354-98362334-71632016-01-0120129130110.2298/TSCI140924006W0354-98361500006WCoupling model and solving approach for performance evaluation of natural draft counter-flow wet cooling towersWang Wei0Zeng Deliang1Hu Yong2Liu Jizhen3Niu Yuguang4North China Electric Power University, School of Control and Computer Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing, ChinaNorth China Electric Power University, School of Control and Computer Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing, ChinaNorth China Electric Power University, School of Control and Computer Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing, ChinaNorth China Electric Power University, School of Control and Computer Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing, ChinaNorth China Electric Power University, School of Control and Computer Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing, ChinaWhen searching for the optimum condenser cooling water flow in a thermal power plant with natural draft cooling towers, it is essential to evaluate the outlet water temperature of cooling towers when the cooling water flow and inlet water temperature change. However, the air outlet temperature and tower draft or inlet air velocity are strongly coupled for natural draft cooling towers. Traditional methods, such as trial and error method, graphic method and iterative methods are not simple and efficient enough to be used for plant practice. In this paper, we combine Merkel equation with draft equation, and develop the coupled description for performance evaluation of natural draft cooling towers. This model contains two inputs: the cooling water flow, the inlet cooling water temperature and two outputs: the outlet water temperature, the inlet air velocity, equivalent to tower draft. In this model, we furthermore put forward a soft-sensing algorithm to calculate the total drag coefficient instead of empirical correlations. Finally, we design an iterative approach to solve this coupling model, and illustrate three cases to prove that the coupling model and solving approach proposed in our paper are effective for cooling tower performance evaluation.http://www.doiserbia.nb.rs/img/doi/0354-9836/2016/0354-98361500006W.pdfcounter-flow wet cooling towercoupling modelMerkel equationoutlet water temperatureinlet air velocityperformance evaluation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wang Wei Zeng Deliang Hu Yong Liu Jizhen Niu Yuguang |
spellingShingle |
Wang Wei Zeng Deliang Hu Yong Liu Jizhen Niu Yuguang Coupling model and solving approach for performance evaluation of natural draft counter-flow wet cooling towers Thermal Science counter-flow wet cooling tower coupling model Merkel equation outlet water temperature inlet air velocity performance evaluation |
author_facet |
Wang Wei Zeng Deliang Hu Yong Liu Jizhen Niu Yuguang |
author_sort |
Wang Wei |
title |
Coupling model and solving approach for performance evaluation of natural draft counter-flow wet cooling towers |
title_short |
Coupling model and solving approach for performance evaluation of natural draft counter-flow wet cooling towers |
title_full |
Coupling model and solving approach for performance evaluation of natural draft counter-flow wet cooling towers |
title_fullStr |
Coupling model and solving approach for performance evaluation of natural draft counter-flow wet cooling towers |
title_full_unstemmed |
Coupling model and solving approach for performance evaluation of natural draft counter-flow wet cooling towers |
title_sort |
coupling model and solving approach for performance evaluation of natural draft counter-flow wet cooling towers |
publisher |
VINCA Institute of Nuclear Sciences |
series |
Thermal Science |
issn |
0354-9836 2334-7163 |
publishDate |
2016-01-01 |
description |
When searching for the optimum condenser cooling water flow in a thermal
power plant with natural draft cooling towers, it is essential to evaluate
the outlet water temperature of cooling towers when the cooling water flow
and inlet water temperature change. However, the air outlet temperature and
tower draft or inlet air velocity are strongly coupled for natural draft
cooling towers. Traditional methods, such as trial and error method, graphic
method and iterative methods are not simple and efficient enough to be used
for plant practice. In this paper, we combine Merkel equation with draft
equation, and develop the coupled description for performance evaluation of
natural draft cooling towers. This model contains two inputs: the cooling
water flow, the inlet cooling water temperature and two outputs: the outlet
water temperature, the inlet air velocity, equivalent to tower draft. In this
model, we furthermore put forward a soft-sensing algorithm to calculate the
total drag coefficient instead of empirical correlations. Finally, we design
an iterative approach to solve this coupling model, and illustrate three
cases to prove that the coupling model and solving approach proposed in our
paper are effective for cooling tower performance evaluation. |
topic |
counter-flow wet cooling tower coupling model Merkel equation outlet water temperature inlet air velocity performance evaluation |
url |
http://www.doiserbia.nb.rs/img/doi/0354-9836/2016/0354-98361500006W.pdf |
work_keys_str_mv |
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