Reduced order analysis of flow and heat transfer for air-cooled condenser of power generating unit

被引：20

作者：

Du, Xiaoze ^{[1
]}

Hu, Hemin ^{[1
]}

Shen, Yinqi ^{[1
]}

Yang, Lijun ^{[1
]}

Yang, Yongping ^{[1
]}

机构：

[1] North China Elect Power Univ, Minist Educ, Key Lab Condit Monitoring & Control Power Plant E, Beijing 102206, Peoples R China

来源：

APPLIED THERMAL ENGINEERING | 2013年 / 51卷 / 1-2期

关键词：

Proper orthogonal decomposition; Air flow field; Air-cooled condenser; Reduced order modeling; MODEL-REDUCTION; POD; CONVECTION;

D O I：

10.1016/j.applthermaleng.2012.09.029

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

The flow and heat transfer exhibit complex non-linear characteristics for the air-cooled condenser (ACC) of power generating unit because numerous factors, including the meteorological and the geographic conditions, as well as the configurations of wavy finned tube bundles, can affect its performances. In order to quickly and accurately predict the air side velocity and temperature fields of ACC, the reduced order models (ROMs) based proper orthogonal decomposition (POD) method were established, by which the previous 10(5) DOF in CFD model was reduced to 10(1) DOF for new case prediction. The weight coefficients for POD modes were obtained by cubic spline interpolation and flux matching procedure (FMP). The air flow fields and correlating temperature fields influenced by environmental natural winds were revealed. It is found that accuracies of the POD solution with cubic spline interpolation are better than that of FMP. However, the FMP procedure, which can extract flow and thermal information from fewer observations, has better robustness than interpolation method. Hence, it is more appropriate for the POD solution of extrapolated cases. The present research may provide a rapid and reliable approach for the optimization of real-time operation of air-cooled power generating units. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：383 / 392

页数：10

共 23 条

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