Ding Luo
Development of two transient models for predicting dynamic response characteristics of an automobile thermoelectric generator system
Luo, Ding; Zhao, Ye; Yan, Yuying; Chen, Hao; Chen, Wei-Hsin; Wang, Ruochen; Li, Ying; Yang, Xuelin
Authors
Ye Zhao
YUYING YAN YUYING.YAN@NOTTINGHAM.AC.UK
Professor of Thermofluids Engineering
Hao Chen
Wei-Hsin Chen
Ruochen Wang
YING LI YING.LI1@NOTTINGHAM.AC.UK
Assistant Professor
Xuelin Yang
Abstract
In this work, two transient models, including a transient fluid-thermal-electric multiphysics numerical model and a hybrid transient CFD-analytical model, are proposed to predict the dynamic performance of the automobile thermoelectric generator system in practical applications. The transient models consider the heat source fluctuation, temperature dependence of thermoelectric materials, and the coupling of different physical fields, which can simulate the actual working conditions. According to the model results, the dynamic output power varies smoothly and is mainly related to the exhaust temperature due to thermal inertia, whereas the dynamic conversion efficiency fluctuates sharply and is mainly related to the exhaust mass flow rate. Compared with the transient fluid-thermal-electric multiphysics numerical model, the output performance obtained by the hybrid transient CFD-analytical model is overestimated, especially for conversion efficiency, and the average errors of output power and conversion efficiency between the two models are 2.90% and 13.58% respectively. Besides, the output performance predicted by transient models is lower than that expected in a steady-state analysis, and the transient models are experimentally verified. This work fills the gap of theoretical models for predicting the dynamic response characteristics, and the findings are helpful to understand the transient performance of automobile thermoelectric generator systems.
Citation
Luo, D., Zhao, Y., Yan, Y., Chen, H., Chen, W.-H., Wang, R., …Yang, X. (2023). Development of two transient models for predicting dynamic response characteristics of an automobile thermoelectric generator system. Applied Thermal Engineering, 221, Article 119793. https://doi.org/10.1016/j.applthermaleng.2022.119793
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 30, 2022 |
Online Publication Date | Dec 21, 2022 |
Publication Date | Feb 25, 2023 |
Deposit Date | Oct 9, 2023 |
Publicly Available Date | Dec 22, 2023 |
Journal | Applied Thermal Engineering |
Print ISSN | 1359-4311 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 221 |
Article Number | 119793 |
DOI | https://doi.org/10.1016/j.applthermaleng.2022.119793 |
Public URL | https://nottingham-repository.worktribe.com/output/25803313 |
Publisher URL | https://www.sciencedirect.com/science/article/abs/pii/S1359431122017239 |
Additional Information | This article is maintained by: Elsevier; Article Title: Development of two transient models for predicting dynamic response characteristics of an automobile thermoelectric generator system; Journal Title: Applied Thermal Engineering; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.applthermaleng.2022.119793; Content Type: article; Copyright: © 2022 Elsevier Ltd. All rights reserved. |
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