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Title: A comparison of four modelling techniques for thermoelectric generator
Authors: Yang, Zhijia
Lan, Song
Stobart, Richard
Winward, Edward
Chen, Rui
Harber, Iain
Issue Date: 2017
Publisher: © SAE International
Citation: YANG, Z. ...et al., 2017. A comparison of four modelling techniques for thermoelectric generator. Presented at WCX™ 17: SAE World Congress Experience, Detroit, USA, April 4-6th.
Series/Report no.: SAE Technical Paper;2017-01-0144
Abstract: The application of state-of-art thermoelectric generator (TEG) in automotive engine has potential to reduce more than 2% fuel consumption and hence the CO2 emissions. This figure is expected to be increased to 5%~10% in the near future when new thermoelectric material with higher properties is fabricated. However, in order to maximize the TEG output power, there are a few issues need to be considered in the design stage such as the number of modules, the connection of modules, the geometry of the thermoelectric module, the DC-DC converter circuit, the geometry of the heat exchanger especially the hot side heat exchanger etc. These issues can only be investigated via a proper TEG model. The authors introduced four ways of TEG modelling which in the increasing complexity order are MATLB function based model, MATLAB Simscape based Simulink model, GT-power TEG model and CFD STAR-CCM+ model. Both Simscape model and GT-Power model have intrinsic dynamic model performance. MATLAB function based model and STAR-CCM+ model can be developed to have only steady state performance or to include dynamic performance. Steady state model can be used in quick assessment of TEG performance and for initial design optimization. However, only dynamic model can give the accurate prediction of TEG output during engine transient cycles. This paper also demonstrates finding the answers to three TEG related questions using STAR-CCM+, Simscape and MATLAB function based Simulink model respectively.
Description: This paper is in closed access until 28th September 2017.
Sponsor: This research was funded by the UK Engineering and Physical Sciences Research Council (EPSRC), Grant Number: EP/K026658/1.
Version: Accepted for publication
DOI: 10.4271/2017-01-0144
URI: https://dspace.lboro.ac.uk/2134/24130
Publisher Link: https://doi.org/10.4271/2017-01-0144
ISSN: 0148-7191
Appears in Collections:Closed Access (Aeronautical and Automotive Engineering)

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