Numerical Modelling and Sensitivity Analysis of Natural Draft Cooling Towers

被引:2
作者
Dhorat, A. [1 ]
Al-Obaidi, M. A. [1 ,2 ]
Mujtaba, I. M. [1 ]
机构
[1] Univ Bradford, Fac Engn & Informat, Sch Engn, Bradford, W Yorkshire, England
[2] Middle Tech Univ, Baghdad, Iraq
来源
CHEMICAL PRODUCT AND PROCESS MODELING | 2018年 / 13卷 / 04期
关键词
cooling towers; numerical modelling; sensitivity analysis; mass transfer; cost analysis;
D O I
10.1515/cppm-2017-0078
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Cooling towers are a relatively inexpensive and consistent method of ejecting heat from several industries such as thermal power plants, refineries, and food processing. In this research, an earlier model from literature was to be validated across three different case studies. Unlike previous models, this model considers the height of the fill as the discretised domain, which produces results that give it in a distribution form along the height of the tower. As there are limitations with the software used (gPROMS) where differential equations with respect to independent variables in the numerator and denominator cannot be solved, a derivative of the saturation vapour pressure with respect to the temperature of the air was presented. Results shown were in agreement with the literature and a parametric sensitivity analysis of the cooling tower design and operating parameters were undertaken. In this work the height of fill, mass flowrates of water and air were studied with respect to sensitivity analysis. Results had shown large variations in the outlet temperatures of the water and air if the mass flows of water and air were significantly reduced. However, upon high values of either variable had shown only small gains in the rejection of heat from the water stream. With respect to the height of the fill, at larger heights of the fill, the outlet water temperature had reduced significantly. From a cost perspective, it was found that a change in the water flowrate had incurred the largest cost penalty with a 1 % increase in flowrate had increased the average operating cost by 1.2 %. In comparison, a change in air flowrate where a 1 % increase in flowrate had yielded an average of 0.4 % increase in operating cost.
引用
收藏
页数:22
相关论文
共 29 条
[1]  
Berman L., 1961, EVAPORATIVE COOLING, P90
[2]  
Bosnjakovic F, 1965, TECHNICAL THERMODYNA
[3]  
Feltzin A., 1991, COOLING TOWER I J, V12, P8
[4]   Artificial neural network model research on effects of cross-wind to performance parameters of wet cooling tower based on level Froude number [J].
Gao, Ming ;
Shi, Yue-tao ;
Wang, Ni-ni ;
Zhao, Yuan-bin ;
Sun, Feng-zhong .
APPLIED THERMAL ENGINEERING, 2013, 51 (1-2) :1226-1234
[5]   Experimental study on the performance of mechanical cooling tower with two types of film packing [J].
Gharagheizi, Farhad ;
Hayati, Reza ;
Fatemi, Shohreh .
ENERGY CONVERSION AND MANAGEMENT, 2007, 48 (01) :277-280
[6]   Thermal performance of cross flow cooling towers in variable wet bulb temperature [J].
Hajidavalloo, Ebrahim ;
Shakeri, Reza ;
Mehrabian, Mozaffar A. .
ENERGY CONVERSION AND MANAGEMENT, 2010, 51 (06) :1298-1303
[7]   Design of Cooling Towers by the Effectiveness-NTU Method [J].
Jaber, H. ;
Webb, R. L. .
JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME, 1989, 111 (1-4) :837-843
[8]   A simplified modeling of mechanical cooling tower for control and optimization of HVAC systems [J].
Jin, Guang-Yu ;
Cai, Wen-Jian ;
Lu, Lu ;
Lee, Eng Lock ;
Chiang, Andrew .
ENERGY CONVERSION AND MANAGEMENT, 2007, 48 (02) :355-365
[9]   Performance characteristics of counter flow wet cooling towers [J].
Khan, JUR ;
Yaqub, M ;
Zubair, SM .
ENERGY CONVERSION AND MANAGEMENT, 2003, 44 (13) :2073-2091
[10]   Solution of heat and mass transfer in counterflow wet-cooling tower fills [J].
Klimanek, A. ;
Bialecki, R. A. .
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER, 2009, 36 (06) :547-553