eprintid: 8170
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/81/70
datestamp: 2023-11-09 16:20:02
lastmod: 2023-11-09 16:20:02
status_changed: 2023-11-09 16:11:58
type: article
metadata_visibility: show
creators_name: Vasant, P.
creators_name: Kose, U.
creators_name: Watada, J.
title: Metaheuristic techniques in enhancing the efficiency and performance of thermo-electric cooling devices
ispublished: pub
keywords: Artificial intelligence; Computational efficiency; Cooling; Efficiency; Genetic algorithms; Optimization; Simulated annealing; Thermoelectricity, Coefficients of performance; Cooling devices; Differential Evolution; Efficiency and performance; Meta-heuristic techniques; Optimal design parameters; Optimization algorithms; Single objective optimization, Multiobjective optimization
note: cited By 28
abstract: 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.
date: 2017
publisher: MDPI AG
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035143059&doi=10.3390%2fen10111703&partnerID=40&md5=096693f6da237f55f980ad487131f863
id_number: 10.3390/en10111703
full_text_status: none
publication: Energies
volume: 10
number: 11
refereed: TRUE
issn: 19961073
citation:   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).   ISSN 19961073