Resistance-capacitance thermal models as alternatives to finite-element numerical models in the simulation of thermoelectric modules for electric power generation

Date

2023

Director

Publisher

Elsevier
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-124014OB-I00/
Impacto
No disponible en Scopus

Abstract

This paper demonstrates that resistance–capacitance models provide equal results than models based on finiteelement software when predicting the performance of a thermoelectric module under transient-state conditions. Previous papers on this topic fall short as comparing finite-element models with simplified versions of resistance–capacitance models. It was confirmed that resistance–capacitance models replicate results of finite-element models in the simulation of a thermoelectric module under steady-state conditions. Deviations lower than 3 % in electric power and efficiency (ratio of electric power to heat input) are obtained for temperature differences between heat source and heat sink as large as 200 K. Similarly, deviations lower than 3 % are obtained for simulation of a thermoelectric module under transientstate conditions. Resistance-capacitance models not only replicate values, trends and rates of variation predicted by finite-element models under step, linear and sinewave variations in the boundary conditions, but they also do this with negligible computational cost.

Description

Keywords

Finite-element software, Resistance-capacitance thermal model, Thermoelectric generator, Thermoelectric module

Department

Ingeniería / Ingeniaritza / Institute of Smart Cities - ISC

Faculty/School

Degree

Doctorate program

item.page.cita

Martinez, A. (2023). Resistance-capacitance thermal models as alternatives to finite-element numerical models in the simulation of thermoelectric modules for electric power generation. Energy Conversion and Management, 292, 117419. https://doi.org/10.1016/j.enconman.2023.117419

item.page.rights

© 2023 The Author(s). This is an open access article under the CC BY-NC-ND license.

Licencia

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