A multi-objective optimization in system level for thermoelectric generation system

Yeyun Cai, Ning Ding, A. Rezania, Fang Deng, L. Rosendahl and Jie Chen

Energy, 2023, vol. 281, issue C

Abstract: For designing thermoelectric generation systems in practice, achieving the ideal goal of maximizing output power, maximizing system efficiency, and minimizing system investment are important. However, assumptions about the input heat and some coefficients considered by existing studies are usually ideal. The optimization of thermoelectric generator (TEG) systems by existing studies is usually for output power and conversion efficiency. In addition, existing studies are more focused on the optimization of TEG geometry rather than that of system parameters. The comprehensive multi-objective optimization of the overall system is lacking, as well as the comprehensive study of effects of system parameters on system performance. To help with the design of TEG system in real applications, this study firstly proposes a transient model for TEG system. The inputs are no longer unlimited heat source, instead, the amplitude, frequency and heat transfer coefficient are three system parameters considered. The model is then used to explore effects of three system parameters on output power, conversion efficiency and system investment, and is used to have a multi-objective optimization for better system design. With the help of this study, the investment of the system can be lowered by 30%–50%, while only lose output power and efficiency within 1%.

Keywords: Transient boundary conditions; Thermoelectric generation system; Multi-objective optimization; System design (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:281:y:2023:i:c:s0360544223015888

DOI: 10.1016/j.energy.2023.128194

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