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Parameter analysis of thermoelectric generator/dc-dc converter system with maximum power point tracking

Twaha, Ssennoga; Zhu, Jie; Li, Bo; Yan, Yuying; Huang, Kuo

Authors

Ssennoga Twaha

Bo Li

YUYING YAN YUYING.YAN@NOTTINGHAM.AC.UK
Professor of Thermofluids Engineering

Kuo Huang



Abstract

The power generated from TEG is relatively unstable owing to temperature variations at its hot and cold side terminals. The dc-dc converters can provide more stable power output thereby improving the overall efficiency of TEG system. However, to facilitate better performance improvement, maximum power point tracking (MPPT) algorithm can be applied to extract maximum power from TEG system. Therefore, parameter analysis of a TEG/dc-dc converter system in different modes is being carried out. A TEG-dc-dc boost converter model is analysed in both MPPT and direct pulse width modulation (PWM) modes subjected to a variable load. To further study the capability of dc-dc converters to stabilise the TEG power output, increasing ramp and random hot side temperature is applied to the MPPT and direct PWM based modes so that the effect on output parameters i.e. voltage and power, can be analysed. It is noted that even for the random temperature input to the TEG, the output voltage resulting from the converter is almost constant. Therefore dc-dc converters are able to stabilise the power generated from TEG. It is also observed that dc-dc converter with MPPT based model is able to effectively extract the maximum power without having to adjust any component from the MPPT algorithm as it is the case with direct PWM based model. From the study, it has been established that proper selection of converter components is necessary to reduce converter losses as well interferences on the load connected to TEG-dc-dc converter system.

Citation

Twaha, S., Zhu, J., Li, B., Yan, Y., & Huang, K. (2017). Parameter analysis of thermoelectric generator/dc-dc converter system with maximum power point tracking. Energy for Sustainable Development, 41, https://doi.org/10.1016/j.esd.2017.08.005

Journal Article Type Article
Acceptance Date Aug 11, 2017
Online Publication Date Aug 23, 2017
Publication Date Dec 1, 2017
Deposit Date Aug 31, 2017
Publicly Available Date Aug 24, 2018
Journal Energy for Sustainable Development
Print ISSN 0973-0826
Electronic ISSN 0973-0826
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 41
DOI https://doi.org/10.1016/j.esd.2017.08.005
Keywords TEG devices; Random temperature; Dc-dc converter; MPPT; Direct PWM
Public URL https://nottingham-repository.worktribe.com/output/965097
Publisher URL http://www.sciencedirect.com/science/article/pii/S0973082617301825

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