Zhang Xiaobo, Xu Xiangguo. Optimizing the Geometric Structure of a Thermoelectric Cooler with Multi-objective Constraint[J]. Journal of refrigeration, 2018, 39(3).
DOI:
Zhang Xiaobo, Xu Xiangguo. Optimizing the Geometric Structure of a Thermoelectric Cooler with Multi-objective Constraint[J]. Journal of refrigeration, 2018, 39(3). DOI: 10.3969/j.issn.0253-4339.2018.03.022.
Optimizing the Geometric Structure of a Thermoelectric Cooler with Multi-objective Constraint
The influences of the geometric parameters of a thermoelectric cooler on its cooling capacity and COP have been previously investigated under assumptions of a constant input current and fixed temperatures of hot/cold ends. However
in this paper
constant external heat exchanging conditions
instead of constant temperatures of hot/cold ends
were assumed
and the influence of each geometric parameter (number of thermo-couples and the ratio of the length of a thermo-element to its cross-sectional area) on the cooling capacity
COP
and cold end temperature were analyzed. The physical implications of each effect are given in detail
revealing the coupling between these parameters. Based on the analyses
in addition to the constraints of the cooling capacity
the COP
and cold end temperature on the selection of the geometry parameters considered
a novel design diagram was developed for choosing the best geometric structure of thermoelectric coolers with a multi-objective constraint. This diagram can obtain the optimal geometry parameters under different requirements both quickly and clearly. For example
under the boundary conditions set in this paper
when the cold end temperature is 280 K and the cooling capacity is 15 W
there is an optimal solution to the geometric parameters. However
when the cold end temperature is 240 K and the cooling capacity is 100 W
there are no geometrical parameters that can satisfy both the cold end temperature and the cooling requirements.