Analytical and numerical parameter extraction for compact modeling of thermoelectric coolers

Chen, Min; Snyder, G. Jeffrey

doi:10.1016/j.ijheatmasstransfer.2013.01.020

Cited by 92 publications

(27 citation statements)

References 28 publications

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“…A thermoelectric module consists of number of TEG modules connected in series by copper solder and contained between thermally conductive and electrically insulated ceramic plates. The simulation of numerous P-N pairs inside each module in an array would result in high computational complexity in terms of grid size as well as computational time [40]. Thus, the TEG module is modeled as TEG cuboid consisting of three parts as shown in Figure 4.…”

Section: User Defined Functions Based Modeling In Fvm Modelmentioning

confidence: 99%

“…Energies 2018, 11, x FOR PEER REVIEW 8 of 21 simulation of numerous P-N pairs inside each module in an array would result in high computational complexity in terms of grid size as well as computational time [40]. Thus, the TEG module is modeled as TEG cuboid consisting of three parts as shown in Figure 4.…”

Section: User Defined Functions Based Modeling In Fvm Modelmentioning

confidence: 99%

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Numerical Simulation and Validation of Thermoeletric Generator Based Self-Cooling System with Airflow

Lin

Kiflemariam

2019

Energies

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In this paper, a general numerical methodology is developed and validated for the simulation of steady as well as transient thermal and electrical behaviors of thermoelectric generator (TEG)-based air flow self-cooling systems. The present model provides a comprehensive framework to advance the study of self-cooling applications by combining fluid flow, heat transfer and electric circuit simulations. The methodology is implemented by equation-based coupled modeling capabilities from multidisciplinary fields to capture the dynamic thermos-electric interaction in TEG elements, enabling the simulation of overall heating/cooling/power characteristics as well as spatially distributed thermal and flow fields in the entire device. Experiments have been conducted on two types of self-cooling arrangements to measure the device temperature, voltage and power produced by TEG modules. It was found that the computational model was able to predict the experimental results within 5% error. A parametric study was carried out using the validated model to study the effect of heat sink geometry and TEG arrangements on device temperature and power produced by the device. It was found that the power for self-cooling could be maximized by proper matching of the TEG modules to the fluid mover. Although an increase in fin density results in a rise in fan power consumption, a marked increase in net power and decreases in thermal resistance are observed.

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Section: User Defined Functions Based Modeling In Fvm Modelmentioning

confidence: 99%

Section: User Defined Functions Based Modeling In Fvm Modelmentioning

confidence: 99%

Numerical Simulation and Validation of Thermoeletric Generator Based Self-Cooling System with Airflow

Lin

Kiflemariam

2019

Energies

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“…The minimum cold side temperature and maximum temperature difference between cold side and hot side are both achieved when the cooling load is 0 W [13]. The numerical calculation is performed using the nested loop method based on MATLAB.…”

Section: Ideal Condition Practical Conditionmentioning

confidence: 99%

The practical performance forecast and analysis of thermoelectric module from macro to micro

Shen

Chen

Xiao

et al. 2015

Energy Conversion and Management

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“…[3] finite element analysis was performed on a 3D model of micro-TEG to investigate the role of the dimensions of the device on the power generation efficiency. To improve the computation efficiency significantly, Chen et al [4] proposed a 3D compact model of a thermoelectric cooler represented as single "black box" in a computational fluid dynamics simulation environment. In Ref.…”

Section: Introductionmentioning

confidence: 99%

Experimental assessment of thermoelectric generator package properties: Simulated results validation and real gradient capabilities

Francioso

Pascali

Siciliano

2015

Energy

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Analytical and numerical parameter extraction for compact modeling of thermoelectric coolers

Cited by 92 publications

References 28 publications

Numerical Simulation and Validation of Thermoeletric Generator Based Self-Cooling System with Airflow

Numerical Simulation and Validation of Thermoeletric Generator Based Self-Cooling System with Airflow

The practical performance forecast and analysis of thermoelectric module from macro to micro

Experimental assessment of thermoelectric generator package properties: Simulated results validation and real gradient capabilities

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