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Metaheuristic Techniques in Enhancing the Efficiency and Performance of Thermo-Electric Cooling Devices

Author

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  • Pandian Vasant

    (Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam
    Department of Fundamental and Applied Sciences, Universiti Teknologi Petronas, Seri Iskandar, Perak 32610, Malaysia)

  • Utku Kose

    (Department of Computer Engineering, Suleyman Demirel University, Isparta 32260, Turkey)

  • Junzo Watada

    (Department of Computer & Information System, Universiti Teknologi Petronas, Seri Iskandar, Perak 32610, Malaysia)

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 ( COP s) 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 .

Suggested Citation

  • Pandian Vasant & Utku Kose & Junzo Watada, 2017. "Metaheuristic Techniques in Enhancing the Efficiency and Performance of Thermo-Electric Cooling Devices," Energies, MDPI, vol. 10(11), pages 1-50, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1703-:d:116322
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    References listed on IDEAS

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    1. Enescu, Diana & Virjoghe, Elena Otilia, 2014. "A review on thermoelectric cooling parameters and performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 903-916.
    2. Edmund K Burke & Michel Gendreau & Matthew Hyde & Graham Kendall & Gabriela Ochoa & Ender Özcan & Rong Qu, 2013. "Hyper-heuristics: a survey of the state of the art," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(12), pages 1695-1724, December.
    3. Huang, Yu-Xian & Wang, Xiao-Dong & Cheng, Chin-Hsiang & Lin, David Ta-Wei, 2013. "Geometry optimization of thermoelectric coolers using simplified conjugate-gradient method," Energy, Elsevier, vol. 59(C), pages 689-697.
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