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Title: Analytical procedure to obtain internal parameters from performance curves of commercial thermoelectric modules
Authors: R. Palacios , A. Arenas , R.R. Pecharromán , F.L. Pagola
Keywords: Thermoelectricity; Internal parameter estimation; Performance simulation; Basic equations
Research topics *Energy systems: Heat transfer, Fluid dynamics, Thermoelectricity, Hydraulic and thermal machines, Energy efficiency and savings
*Power Electronics and Control Systems
Abstract: Manufacturers of commercial thermoelectric modules provide datasheets of the modules including information and graphs about the performance attained at several working conditions. Details about internal parameters are not made available to customers, because in the broad majority of the cases they are not necessary. However, when developing non-standard applications or conducting research projects it is sometimes necessary to make the modules work in different conditions than those shown in the performance curves. This paper shows a methodology to extract thermoelectric internal parameters from the information provided by performance curves, hence allowing scientists to predict the performance of the module at any working condition. The method is based on the basic equations that link thermal and electrical dynamics in which some parameters must be estimated. As a result it is possible to predict the behavior of the modules if they are operated in a non-standard way. One good example is to simulate how a module designed for cooling applications will behave if used as a Seebeck module for power generation. The proposed methodology has been successfully applied to a commercial Peltier module for which the behavior as a thermoelectric generator was simulated and then tested experimentally, attaining very similar results.
Reference: Applied Thermal Engineering
Volume: 29   Number: 17-18   Pages: 3501-3505
Publication date (on paper):December 2009
DOI reference: DOI icon 10.1016/j.applthermaleng.2009.06.003    
Journal Impact Factor: JCR impact factor 3.356 (2016)
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