Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/142263
Title: Thermoelectric generation for waste heat recovery : application of a system level design optimization approach via Taguchi method
Authors: Ji, Dongxu
Wei, Zhongbao
Mazzoni, Stefano
Mengarelli, Marco
Rajoo, Srithar
Zhao, Jiyun
Pou, Josep
Romagnoli, Alessandro
Keywords: Engineering::Mechanical engineering
Issue Date: 2018
Source: Ji, D., Wei, Z., Mazzoni, S., Mengarelli, M., Rajoo, S., Zhao, J., . . . Romagnoli, A. (2018). Thermoelectric generation for waste heat recovery : application of a system level design optimization approach via Taguchi method. Energy Conversion and Management, 172, 507-516. doi:10.1016/j.enconman.2018.06.016
Journal: Energy Conversion and Management
Abstract: Thermoelectric generator is a solid-state energy converter which can convert waste heat directly into electricity. During the past decades, thermoelectric materials have been widely investigated whereas the integrated design of thermoelectric generators have been less studied. This paper proposes and implements a framework for the design of thermoelectric generators, consisting of thermoelectric modules and heat exchangers, based on the Taguchi method. As compared with previous researches which optimize the thermoelectric module alone and assume fixed temperature or fixed heat fluxes for the thermoelectric modules, this work proposes a methodology to optimize the thermoelectric module and the heat exchanger together. Five design parameters (namely the height, the fill-ratio, the ratio of cross-sectional area of n-type material over p-type material of thermoelectric module, the length and the material of the heat exchanger) were analyzed for two different applications, waste heat recovery from marine and automotive engines. In order to perform the analysis, a L27 (35) orthogonal array was employed to assess all of the design parameters returning the maximum output power. By analysis of variance, it is found that the thermoelectric module height is the most important design parameter contributing for the 69.6% and 30.25% in automotive and marine application, respectively. And the optimal design parameter set are also determined in both applications.
URI: https://hdl.handle.net/10356/142263
ISSN: 0196-8904
DOI: 10.1016/j.enconman.2018.06.016
Rights: © 2018 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:ERI@N Journal Articles

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