Geometric optimisation of thermo-electric coolers using simulated annealing

The field of thermo-electric coolers (TEC) has grown drastically in recent years. In an extreme environment such as thermal energy and gas drilling operations, TEC is an effective cooling mechanism for instruments. Nevertheless, limitations such as the relatively low energy conversion efficiency and...

Full description

Saved in:
Bibliographic Details
Main Authors: Khanh, D.V.K., Vasant, P.M., Elamvazuthi, I., Dieu, V.N.
Format: Article
Published: Inderscience Enterprises Ltd. 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019655847&doi=10.1504%2fIJCSE.2017.084164&partnerID=40&md5=310c48e27cd43fe883208f40372434b8
http://eprints.utp.edu.my/19800/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utp.eprints.19800
record_format eprints
spelling my.utp.eprints.198002018-04-20T07:49:17Z Geometric optimisation of thermo-electric coolers using simulated annealing Khanh, D.V.K. Vasant, P.M. Elamvazuthi, I. Dieu, V.N. The field of thermo-electric coolers (TEC) has grown drastically in recent years. In an extreme environment such as thermal energy and gas drilling operations, TEC is an effective cooling mechanism for instruments. Nevertheless, limitations such as the relatively low energy conversion efficiency and ability to dissipate only a limited amount of heat flux may seriously damage the lifetime and performance of the instrument. Many researches were conducted to expand the efficiency of TEC. The material parameters are the most significant, but they are restricted by currently available materials and module fabricating technologies. Therefore, the main objective of finding the optimal TEC design is to define a set of design parameters. In this paper, technical issues of TEC were discussed. After that, a new method of optimising the dimension of TEC using simulated annealing (SA), to maximise the cooling rate was proposed. Equality constraint and inequality constraint were taken into consideration. This work reveals that SA performs better than genetic algorithm in terms of stability and reliability and found a better geometric design of single-stage TEC which maximise cooling rate when compared with Cheng's (2005) work. Copyright © 2017 Inderscience Enterprises Ltd. Inderscience Enterprises Ltd. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019655847&doi=10.1504%2fIJCSE.2017.084164&partnerID=40&md5=310c48e27cd43fe883208f40372434b8 Khanh, D.V.K. and Vasant, P.M. and Elamvazuthi, I. and Dieu, V.N. (2017) Geometric optimisation of thermo-electric coolers using simulated annealing. International Journal of Computational Science and Engineering, 14 (3). pp. 279-289. http://eprints.utp.edu.my/19800/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The field of thermo-electric coolers (TEC) has grown drastically in recent years. In an extreme environment such as thermal energy and gas drilling operations, TEC is an effective cooling mechanism for instruments. Nevertheless, limitations such as the relatively low energy conversion efficiency and ability to dissipate only a limited amount of heat flux may seriously damage the lifetime and performance of the instrument. Many researches were conducted to expand the efficiency of TEC. The material parameters are the most significant, but they are restricted by currently available materials and module fabricating technologies. Therefore, the main objective of finding the optimal TEC design is to define a set of design parameters. In this paper, technical issues of TEC were discussed. After that, a new method of optimising the dimension of TEC using simulated annealing (SA), to maximise the cooling rate was proposed. Equality constraint and inequality constraint were taken into consideration. This work reveals that SA performs better than genetic algorithm in terms of stability and reliability and found a better geometric design of single-stage TEC which maximise cooling rate when compared with Cheng's (2005) work. Copyright © 2017 Inderscience Enterprises Ltd.
format Article
author Khanh, D.V.K.
Vasant, P.M.
Elamvazuthi, I.
Dieu, V.N.
spellingShingle Khanh, D.V.K.
Vasant, P.M.
Elamvazuthi, I.
Dieu, V.N.
Geometric optimisation of thermo-electric coolers using simulated annealing
author_facet Khanh, D.V.K.
Vasant, P.M.
Elamvazuthi, I.
Dieu, V.N.
author_sort Khanh, D.V.K.
title Geometric optimisation of thermo-electric coolers using simulated annealing
title_short Geometric optimisation of thermo-electric coolers using simulated annealing
title_full Geometric optimisation of thermo-electric coolers using simulated annealing
title_fullStr Geometric optimisation of thermo-electric coolers using simulated annealing
title_full_unstemmed Geometric optimisation of thermo-electric coolers using simulated annealing
title_sort geometric optimisation of thermo-electric coolers using simulated annealing
publisher Inderscience Enterprises Ltd.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019655847&doi=10.1504%2fIJCSE.2017.084164&partnerID=40&md5=310c48e27cd43fe883208f40372434b8
http://eprints.utp.edu.my/19800/
_version_ 1738656121168592896
score 13.160551