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Performance analysis of thermoelectric generator using dc-dc converter with incremental conductance based maximum power point tracking

Twaha, Ssennoga, Zhu, Jie, Yan, Yuying, Li, Bo, Huang, Kuo (2017) Performance analysis of thermoelectric generator using dc-dc converter with incremental conductance based maximum power point tracking. Energy for Sustainable Development, 37 . pp. 86-98. ISSN 0973-0826. (doi:10.1016/j.esd.2017.01.003) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:87845)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
https://doi.org/10.1016/j.esd.2017.01.003

Abstract

Thermoelectric generators (TEGs) are used for converting heat into electricity. One of the challenges behind TEG is that the power generated is unstable and therefore needs proper power conditioning mechanism before it is supplied to the load. Moreover, it is necessary to track the maximum power point (MPP) so that maximum power is always extracted from TEG devices. The objective of this work is to analyse the performance of dc-dc converter with maximum power point tracking (MPPT) enabled by incremental conductance (IC) method. The results of the IC based MPPT approach have been compared with those of perturb and observe (P&O) based MPPT from a previous researcher. The results indicate that the IC based MPPT approach is able to track the MPP but with relatively lower efficiencies than the P&O based MPPT method. The matching efficiency within a temperature range of 200 °C–300 °C is in the range of 99.92%–99.95% for P&O and 99.46%–99.97% for IC method. However IC based MPPT method has higher voltage gain and converter efficiency than the P&O based MPPT method. Therefore, dc-dc converters are able to improve the steady state performance of TEG system as well as boosting the voltage to the desired level, hence improving the overall performance of TEG system.

Item Type: Article
DOI/Identification number: 10.1016/j.esd.2017.01.003
Uncontrolled keywords: Thermoelectric power generation; dc-dc converter; TEG device; MPPT
Subjects: T Technology > TJ Mechanical engineering and machinery > Control engineering
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Amy Boaler
Date Deposited: 30 Apr 2021 12:19 UTC
Last Modified: 04 Mar 2024 19:34 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/87845 (The current URI for this page, for reference purposes)

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