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Multi-objective Performance Optimization of Thermo-Electric Coolers Using Dimensional Structural Parameters

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6466))

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Abstract

Thermo-Electric Coolers (TEC) have promising features as it is better than traditional cooling devices based on thermodynamic cycle in many ways like being noiseless, compact and environment friendly as it is free of CFC responsible for ozone layer depletion. However, TEC have poor performance in terms of Coefficient of Performance (COP) and peak value of rate at which heat is extracted from space to be cooled. Hence, it is obviously of interest to designers, that the above mentioned limitation shall be compensated by optimizing structural parameters such as area and length of thermoelectric elements such that these device operate at near optimal conditions. In present work, this problem is systematically decomposed in two segments, namely single objective optimization and multi-objective optimization. In the end, some useful insights are reported for designers about structural parameters of TEC.

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© 2010 Springer-Verlag Berlin Heidelberg

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Nain, P.K.S., Giri, J.M., Sharma, S., Deb, K. (2010). Multi-objective Performance Optimization of Thermo-Electric Coolers Using Dimensional Structural Parameters. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2010. Lecture Notes in Computer Science, vol 6466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17563-3_71

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  • DOI: https://doi.org/10.1007/978-3-642-17563-3_71

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17562-6

  • Online ISBN: 978-3-642-17563-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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