Mathematical model of a thermoelectric system based on steady- and rapid-state measurements

Buchalik, Ryszard; Nowak, Grzegorz; Nowak, Iwona

doi:10.1016/j.apenergy.2021.116943

Cited by 26 publications

(10 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While this method provides models that are rooted in physical reality, it demands a strong background in physics and a comprehensive knowledge of the system’s dynamics. The derived models are often complex and require precise parameter tuning, making them suitable for well-understood systems where the governing equations are known [8] , [9] , [10] , [11] , [12] , [13] , [14] . On the other hand, machine learning techniques, particularly those involving data-driven approaches, offer an alternative route to model development.…”

Section: Methods Detailsmentioning

confidence: 99%

WyNDA: A method to discover mathematical models of dynamical systems from data

Hasan

2024

MethodsX

View full text Add to dashboard Cite

Section: Methods Detailsmentioning

confidence: 99%

WyNDA: A method to discover mathematical models of dynamical systems from data

Hasan

2024

MethodsX

View full text Add to dashboard Cite

“…On the left side of the equations successively appear heat conducted by thermoelectric legs of thermal conductivity k, Peltier heat, and Joule heat [36]. The heat conducted between the junction and the corresponding exchanger (the right-hand side equality sign of above equations) is represented by the ratio of the temperature difference at the layer to the thermal resistance of the layer.…”

Section: Theoretical Modelmentioning

confidence: 99%

The Impact of Asymmetric Contact Resistance on the Operating Parameters of Thermoelectric Systems

Buchalik,

Nowak,

Nowak

2024

Energies

Self Cite

View full text Add to dashboard Cite

This paper presents a simulation model for a system equipped with thermoelectric elements, considering the impact of independent thermal contact resistances on each side of the module. An analytical model was constructed, taking into account the asymmetry of thermal resistances between the generator/cooler and the respective heat source/heat sink. A comparative analysis of thermoelectric device operating indicators such as conducted heat, efficiency, and the electricity/cooling power produced was performed. The selection of electrical current in the circuit was analysed based on the maximization of power or efficiency. This paper discusses deviations from ideal conditions, specifically the absence of thermal resistance between the heat source/sink and the thermoelectric junction. The model accurately simulates the operating conditions of the thermoelectric system with a low computational cost. The results indicate that the total thermal resistance, rather than its location, predominantly affects the operation of the thermoelectric generator. However, in cooling operations, the influence of thermal resistance significantly depends on the cooling power demand and temperature.

show abstract

“…At present, the mainstream models used in studying thermoelectric generation systems are broadly classied into two categories: thermal resistance models [31][32][33][34] and numerical models. 17,35,36 Since the non-isometric n structure in this paper changes with Dw, its three-dimensional mathematical model and the mathematical models of heat transfer and uid dynamics are challenging to construct accurately.…”

Section: Numerical Model For Fluidthermal-electric Multiphysicsmentioning

confidence: 99%