Ssennoga Twaha
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
Dr JIE ZHU JIE.ZHU@NOTTINGHAM.AC.UK
LECTURER
Bo Li
Professor 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 | 2352-4669 |
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 |
Contract Date | Aug 31, 2017 |
Files
Journal paper ESD2 v1.pdf
(1.8 Mb)
PDF
Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
You might also like
Aerodynamic design and optimization of sCO2 turbomachinery: Two-Stage optimization approach
(2023)
Journal Article
Energy and Stochastic Economic Assessments of Photovoltaic Systems in the East Midlands
(2023)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search