A Comparison of Four Modelling Techniques for Thermoelectric Generator

Yang, Zhijia; Song, Lan; Stobart, Richard; Winward, Edward; Chen, Rui; Harber, Iain

doi:10.4271/2017-01-0144

Cited by 8 publications

(2 citation statements)

References 17 publications

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“…In [32][33][34][35][36], the authors have investigated the equivalent circuits of the energy conversion processes in thermoelectric modules/generators. These models are used in a conjunction with the equivalent thermal elements representing other building blocks of the system and characteristics of the electrical loading for quick estimation of the WSN node performances.…”

Section: Introductionmentioning

confidence: 99%

A Transient Modeling of the Thermoelectric Generators for Application in Wireless Sensor Network Nodes

et al. 2020

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This paper reports results of the transient modeling of thermoelectric cooling/heating modules as power generators with the aim to select preferable ones for use in thermal energy harvesting wireless sensor network nodes. A study is conducted using the selected commercial thermoelectric generators within the node of a compact design with aluminum PCBs. Their equivalent electro-thermal models suitable for SPICE-like simulators are presented. Model components are extracted from the geometrical, physical and thermo-electrical parameters and/or experimentally. SPICE simulation results mismatch within 7% in comparison with the experimental measurements. The presented model is used for the characterization of different thermoelectric generators within the wireless sensor network node from the aspects of harvesting efficiency, cold boot time, node dimensions and compactness, and maximum applicable temperature. The choice of the preferred generator is determined by its electrical resistance, the number of thermoelectric pairs, external area and thermoelectric legs length, depending on the primary design goal and imposed thermal operating conditions. The node can provide load power of 1.3 m W and the cold boot time of 66 s for generator with 31 thermoelectric pairs at a temperature difference of 15 ° C with respect to the ambient, and 7.6 m W of load power and the cold boot time of 40 s for generator with 71 thermoelectric pairs at a temperature difference of 25 ° C .

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Section: Introductionmentioning

confidence: 99%

A Transient Modeling of the Thermoelectric Generators for Application in Wireless Sensor Network Nodes

et al. 2020

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“…The model structure and validation results were discussed in another paper [25]. Use this model to estimate the maximum power output at steady state condition for a TEG device.…”

Section: Improved Thermoelectric Generator Performance Using Skutterumentioning

confidence: 99%

Improved Thermoelectric Generator Performance Using High Temperature Thermoelectric Materials

Yang¹,

Prado‐Gonjal²,

Phillips³

et al. 2017

SAE Technical Paper Series

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A dynamic model for thermoelectric generator applied to vehicle waste heat recovery

et al. 2018

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A Comparison of Four Modelling Techniques for Thermoelectric Generator

Cited by 8 publications

References 17 publications

A Transient Modeling of the Thermoelectric Generators for Application in Wireless Sensor Network Nodes

A Transient Modeling of the Thermoelectric Generators for Application in Wireless Sensor Network Nodes

Improved Thermoelectric Generator Performance Using High Temperature Thermoelectric Materials

A dynamic model for thermoelectric generator applied to vehicle waste heat recovery

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