Electrical, thermomechanical and cost analyses of a low-cost thermoelectric generator
Aminu Yusuf and
Sedat Ballikaya
Energy, 2022, vol. 241, issue C
Abstract:
High cost, and scarcity of high-performance thermoelectric materials are some of the reasons that hinder large scale production of thermoelectric devices. In view thereof, a novel thermoelectric module is proposed. The new module is composed of four thermoelectric materials; two of which are costly but show high-performance at low temperature, while the other two are cheap but show low-performance at room temperature. This combination is aimed at reducing the dependency on the costly and scarce thermoelectric materials, at the same time ensuring good output performance. The thermoelectric and thermomechanical performances of the proposed module are investigated. The analysis revealed that the percentage cost reduction is higher than the percentage reduction in the output power of the module. Furthermore, over the range of the temperature considered in this study, the maximum von Mises stress in the module is lower than the yield stress of the materials. Likewise, cost-power ratio of 0.952 $/W is achieved.
Keywords: Cost-power ratio; Low-cost; Thermal stress; Thermoelectric generator; Thermoelectric materials (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221031832
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:241:y:2022:i:c:s0360544221031832
DOI: 10.1016/j.energy.2021.122934
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().