Metaheuristic techniques in enhancing the efficiency and performance of thermo-electric cooling devices

The objective of this paper is to focus on the technical issues of single-stage thermo-electric coolers (TECs) and two-stage TECs and then apply new methods in optimizing the dimensions of TECs. In detail, some metaheuristics-simulated annealing (SA) and differential evolution (DE)-are applied to se...

Full description

Main Authors: Vasant, P., Kose, U., Watada, J.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.19296 /
Published: MDPI AG 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035143059&doi=10.3390%2fen10111703&partnerID=40&md5=096693f6da237f55f980ad487131f863
http://eprints.utp.edu.my/19296/
Tags: Add Tag
No Tags, Be the first to tag this record!
id utp-eprints.19296
recordtype eprints
spelling utp-eprints.192962018-05-03T02:10:20Z Metaheuristic techniques in enhancing the efficiency and performance of thermo-electric cooling devices Vasant, P. Kose, U. Watada, J. The objective of this paper is to focus on the technical issues of single-stage thermo-electric coolers (TECs) and two-stage TECs and then apply new methods in optimizing the dimensions of TECs. In detail, some metaheuristics-simulated annealing (SA) and differential evolution (DE)-are applied to search the optimal design parameters of both types of TEC, which yielded cooling rates and coefficients of performance (COPs) individually and simultaneously. The optimization findings obtained by using SA and DE are validated by applying them in some defined test cases taking into consideration non-linear inequality and non-linear equality constraint conditions. The performance of SA and DE are verified after comparing the findings with the ones obtained applying the genetic algorithm (GA) and hybridization technique (HSAGA and HSADE). Mathematical modelling and parameter setting of TEC is combined with SA and DE to find better optimal findings. The work revealed that SA and DE can be applied successfully to solve single-objective and multi-objective TEC optimization problems. In terms of stability, reliability, robustness and computational efficiency, they provide better performance than GA. Multi-objective optimizations considering both objective functions are useful for the designer to find the suitable design parameters of TECs which balance the important roles of cooling rate and COP. © 2016 by the authors. Licensee MDPI, Basel, Switzerland. MDPI AG 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035143059&doi=10.3390%2fen10111703&partnerID=40&md5=096693f6da237f55f980ad487131f863 Vasant, P. and Kose, U. and Watada, J. (2017) Metaheuristic techniques in enhancing the efficiency and performance of thermo-electric cooling devices. Energies, 10 (11). http://eprints.utp.edu.my/19296/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description The objective of this paper is to focus on the technical issues of single-stage thermo-electric coolers (TECs) and two-stage TECs and then apply new methods in optimizing the dimensions of TECs. In detail, some metaheuristics-simulated annealing (SA) and differential evolution (DE)-are applied to search the optimal design parameters of both types of TEC, which yielded cooling rates and coefficients of performance (COPs) individually and simultaneously. The optimization findings obtained by using SA and DE are validated by applying them in some defined test cases taking into consideration non-linear inequality and non-linear equality constraint conditions. The performance of SA and DE are verified after comparing the findings with the ones obtained applying the genetic algorithm (GA) and hybridization technique (HSAGA and HSADE). Mathematical modelling and parameter setting of TEC is combined with SA and DE to find better optimal findings. The work revealed that SA and DE can be applied successfully to solve single-objective and multi-objective TEC optimization problems. In terms of stability, reliability, robustness and computational efficiency, they provide better performance than GA. Multi-objective optimizations considering both objective functions are useful for the designer to find the suitable design parameters of TECs which balance the important roles of cooling rate and COP. © 2016 by the authors. Licensee MDPI, Basel, Switzerland.
format Article
author Vasant, P.
Kose, U.
Watada, J.
spellingShingle Vasant, P.
Kose, U.
Watada, J.
Metaheuristic techniques in enhancing the efficiency and performance of thermo-electric cooling devices
author_sort Vasant, P.
title Metaheuristic techniques in enhancing the efficiency and performance of thermo-electric cooling devices
title_short Metaheuristic techniques in enhancing the efficiency and performance of thermo-electric cooling devices
title_full Metaheuristic techniques in enhancing the efficiency and performance of thermo-electric cooling devices
title_fullStr Metaheuristic techniques in enhancing the efficiency and performance of thermo-electric cooling devices
title_full_unstemmed Metaheuristic techniques in enhancing the efficiency and performance of thermo-electric cooling devices
title_sort metaheuristic techniques in enhancing the efficiency and performance of thermo-electric cooling devices
publisher MDPI AG
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035143059&doi=10.3390%2fen10111703&partnerID=40&md5=096693f6da237f55f980ad487131f863
http://eprints.utp.edu.my/19296/
_version_ 1741196184290066432
score 11.62408

Similar Items