Ahmad, Muhammad, Goraya, Talha S., Shahzad, Muhammad Wakil and Zubair, Syed M. (2020) Exergoeconomic optimization of a shell-and-tube heat exchanger. Energy Conversion and Management, 226. p. 113462. ISSN 0196-8904
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Abstract
The paper presents an economic optimization of a STHX with two commonly adopted (i.e., Kern and Bell-Delaware) and one rarely explored (i.e., Wills-Johnston) methods. A detailed numerical code concerning thermal, hydraulic, exergy, and economic analysis of STHX is developed for all three methods. Normalized sensitivity analysis, parametric study, and Genetic Algorithm are used to ascertain the most influential parameters and optimize the total cost. It is observed that the calculations made using the Wills-Johnston method were reasonably close to the Bell-Delaware method. While the Kern method showed a significant deviation in the shell side calculations because of the several assumptions in this method. The parametric analysis showed that increasing the mass flow rate and the number of baffles increased the operating cost because of an exponential increase in the pressure drops. Finally, the optimization reduced the heat transfer area by ~26.4%, capital cost by ~20%, operational cost by ~50%, total cost by ~22%, and the stream cost by ~21%.
Item Type: | Article |
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Additional Information: | Funding information: The authors acknowledge the support provided by Khwaja Fareed University of Engineering and Information Technology (KFUEIT), Rahim Yar Khan. Also, Dr. Muhammad Wakil Shahzad acknowledges the support provided by Northumbria University, UK under reference # RDF20/EE/MCE/SHAHZAD. Dr. Syed Zubair would like to acknowledge the support received from King Fahd University of Petroleum & Minerals (KFUPM) through the project IN171048. Also acknowledged is the support provided by Mr. Kashif AllahYar (an undergraduate student at the Mechanical Engineering Department KFUEIT), for organizing the literature and numerical model. |
Uncontrolled Keywords: | Shell and tube heat exchanger, Exergoeconomic optimization, Kern, Bell-Delaware, Wills-Johnston, Genetic Algorithm |
Subjects: | H300 Mechanical Engineering |
Department: | Faculties > Engineering and Environment > Mechanical and Construction Engineering |
Depositing User: | Ellen Cole |
Date Deposited: | 07 Jan 2021 14:19 |
Last Modified: | 12 May 2023 13:30 |
URI: | https://nrl.northumbria.ac.uk/id/eprint/45157 |
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