A new algorithm for optimum design of mechanical draft wet cooling towers

被引：6

作者：

Department of Energy Engineering, Graduate School of the Environment and Energy, Islamic Azad University, P.O. Box 14515-775, Tehran, Iran ^{[1
]}

不详 ^{[2
]}

不详 ^{[3
]}

机构：

[1] Department of Energy Engineering, Graduate School of the Environment and Energy, Islamic Azad University, Tehran

[2] Department of Chemical and Petroleum Engineering, University of Calgary, Calgary, AB

[3] Department of Energy Engineering, KN Toosi University of Technology, Tehran

来源：

J. Appl. Sci. | 2009年 / 3卷 / 561-566期

关键词：

Heat transfer; Optimization; Packing materials;

D O I：

10.3923/jas.2009.561.566

中图分类号：

学科分类号：

摘要：

The present study describes the designing of a thermally and economically optimum mechanical draft counter-flow wet cooling tower. The design model allows the use of a variety of packing materials in the cooling tower toward optimizing heat transfer. The design model incorporated the cooling tower factors to achieve the optimum design. The main factors included: the diameter of the water droplets, the liquid to gas mass ratio, the height of rain zone, packing zone and spray zone, the air and water velocity inside the tower and the frontal area. Once the optimum packing type is chosen, a compact cooling tower with low fan power consumption is modelled within the known design variables. The optimization model is validated against a sample problem. The suggested design algorithms of cooling tower are computed using Visual Studio.Net 2003 (C++). © 2009 Asian Network for Scientific Information.

引用

页码：561 / 566

页数：5

共 50 条

[41] A feedback model to predict parameters for controlling the performance of a mechanical draft cooling tower [J].

Singh, Kuljeet ;

Das, Ranjan .

APPLIED THERMAL ENGINEERING, 2016, 105 :519-530

[42] Optimum design of slurry pipelines by genetic algorithm [J].

Yildiz, Burhan ;

Altan-Sakarya, A. Burcu ;

Ger, A. Metin .

CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS, 2014, 31 (04) :311-330

[43] Investigation on heat exchanger arrangement in solar enhanced natural draft dry cooling towers under various crosswind conditions [J].

Xu, Mengfei ;

He, Suoying ;

Cheng, Jun ;

Gao, Ming ;

Lu, Yuanshen ;

Hooman, Kamel ;

Xu, Yi ;

Geng, Zhe ;

Zhang, Shuzhen .

CASE STUDIES IN THERMAL ENGINEERING, 2021, 28

[44] Optimum design of a channel roughened by dimples to improve cooling performance [J].

Samad A. ;

Lee K.-D. ;

Kim K.-Y. ;

Kim J.-H. .

Frontiers of Energy and Power Engineering in China, 2010, 4 (2) :262-268

[45] A SIMPLIFIED MODEL FOR PREDICTING NATURAL DRAFT WET COOLING TOWER PERFORMANCE OF LARGE STEAM POWER PLANTS [J].

Wiesche, Stefan Aus Der .

PROCEEDINGS OF THE ASME TURBO EXPO: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, VOL 9, 2020,

[46] Accurate predictions for optimum design of a T-shaped fin under an actual wet load condition [J].

Hazarika, Saheera Azmi ;

Bhanja, Dipankar ;

Nath, Sujit ;

Kundu, Balaram .

INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID, 2017, 82 :141-162

[47] Research on water saving performance of a new type of demisting cooler for cooling towers [J].

Liu, Lei ;

Xi, Ying ;

Zhang, Lin ;

Yu, Zhikang ;

Sun, Cheng ;

Yang, Lu ;

Zhang, Zhifan ;

Zhou, Chengman ;

Dong, Kexin ;

Liu, Kailu .

CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2023, 192

[48] Optimal Design of Forced Draft Cooling Tower under Variable Working Conditions [J].

Guo, Yuming ;

Wang, Biao .

2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, :6012-6017

[49] Optimum Design of Cable Nets by Using Genetic Algorithm [J].

Thai, Son ;

Kim, Nam-Il ;

Lee, Jaehong ;

Kang, Joo-Won .

INTERNATIONAL JOURNAL OF STEEL STRUCTURES, 2017, 17 (03) :1183-1198

[50] HARMONY SEARCH ALGORITHM FOR OPTIMUM DESIGN OF SLAB FORMWORK [J].

Kaveh, A. ;

Abadi, A. Shakouri Mahmud .

IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B-ENGINEERING, 2010, 34 (B4) :335-351

← 1 2 3 4 5 →