Thermal-Economic Optimization of Plate–Fin Heat Exchanger Using Improved Gaussian Quantum-Behaved Particle Swarm Algorithm

Joo Hyun Moon, Kyun Ho Lee, Haedong Kim and Dong In Han
Additional contact information
Joo Hyun Moon: Department of Aerospace Engineering, Sejong University, Seoul 05006, Korea
Kyun Ho Lee: Department of Aerospace Engineering, Sejong University, Seoul 05006, Korea
Haedong Kim: Department of Aerospace Engineering, Sejong University, Seoul 05006, Korea
Dong In Han: Korea Aerospace Research Institute, Daejeon 34133, Korea

Mathematics, 2022, vol. 10, issue 14, 1-19

Abstract: Heat exchangers are usually designed using a sophisticated process of trial-and-error to find proper values of unknown parameters which satisfy given requirements. Recently, the design of heat exchangers using evolutionary optimization algorithms has received attention. The major aim of the present study is to propose an improved Gaussian quantum-behaved particle swarm optimization (GQPSO) algorithm for enhanced optimization performance and its verification through application to a multivariable thermal-economic optimization problem of a crossflow plate–fin heat exchanger (PFHE). Three single objective functions: the number of entropy generation units ( NEGUs ), total annual cost ( TAC ), and heat exchanger surface area ( A ), were minimized separately by evaluating optimal values of seven unknown variables using four different PSO-based methods. By comparing the obtained best fitness values, the improved GQPSO approach could search quickly for better global optimal solutions by preventing particles from falling to the local minimum due to its modified local attractor scheme based on the Gaussian distributed random numbers. For example, the proposed GQPSO could predict further improved best fitness values of 40% for NEGUs , 17% for TAC , and 4.5% for A , respectively. Consequently, the present study suggests that the improved GQPSO approach with the modified local attractor scheme can be efficient in rapidly finding more suitable solutions for optimizing the thermal-economic problem of the crossflow PFHE.

Keywords: plate–fin heat exchanger; thermal-economic optimization; improved Gaussian quantum-behaved particle swarm optimization; modified local attractor (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/14/2527/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/14/2527/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:14:p:2527-:d:867247

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().