Low temperature gradient thermoelectric generator: Modelling and experimental verification

Sergei Vostrikov, Andrey Somov and Pavel Gotovtsev

Applied Energy, 2019, vol. 255, issue C

Abstract: Internet of Things (IoT) and wearable sensing paradigm assume the sensing devices are available 24/7 and can be accessed from anywhere. This vision implies strict requirements to the power supply and energy harvesting which are expected to guarantee ‘perpetual’ operation of IoT devices. This paper reports on modelling and experimental verification of low temperature gradient thermoelectric generator. Obtained under the conditions of low gradient temperature approximation, the model accounts for the key physical phenomena and enables the accurate output power calculations using a closed-form expression. We perform a comparative study on the state-of-the-art models against the obtained solution and show the simplicity and performance of the proposed approach. For demonstrating practical feasibility of the model, we develop an experimental testbed consisting of the power generator, temperature control and data acquisition units. Experimental results demonstrate the average error 5.5% which improves the state-of-the-art results.

Keywords: Energy harvesting; Low temperature gradient; Thermoelectric conversion; Power management; Thermoelectric generator (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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DOI: 10.1016/j.apenergy.2019.113786

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