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Performance Analysis of Thermoelectric Based Automotive Waste Heat Recovery System with Nanofluid Coolant

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  • Zhi Li

    (Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China
    Institute of Power Machinery and Vehicular Engineering, Zhejiang University, Hangzhou 310027, China)

  • Wenhao Li

    (Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China
    Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China)

  • Zhen Chen

    (School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China)

Abstract

Output performance of a thermoelectric-based automotive waste heat recovery system with a nanofluid coolant is analyzed in this study. Comparison between Cu-Ethylene glycol (Cu-EG) nanofluid coolant and ethylene glycol with water (EG-W) coolant under equal mass flow rate indicates that Cu-EG nanofluid as a coolant can effectively improve power output and thermoelectric conversion efficiency for the system. Power output enhancement for a 3% concentration of nanofluid is 2.5–8 W (12.65–13.95%) compared to EG-Water when inlet temperature of exhaust varies within 500–710 K. The increase of nanofluid concentration within a realizable range (6%) has positive effect on output performance of the system. Study on the relationship between total area of thermoelectric modules (TEMs) and output performance of the system indicates that optimal total area of TEMs exists for maximizing output performance of the system. Cu-EG nanofluid as coolant can decrease optimal total area of TEMs compared with EG-W, which will bring significant advantages for the optimization and arrangement of TEMs whether the system space is sufficient or not. Moreover, power output enhancement under Cu-EG nanofluid coolant is larger than that of EG-W coolant due to the increase of hot side heat transfer coefficient of TEMs.

Suggested Citation

  • Zhi Li & Wenhao Li & Zhen Chen, 2017. "Performance Analysis of Thermoelectric Based Automotive Waste Heat Recovery System with Nanofluid Coolant," Energies, MDPI, vol. 10(10), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1489-:d:113276
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    References listed on IDEAS

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    Cited by:

    1. Ravi Anant Kishore & Roop L. Mahajan & Shashank Priya, 2018. "Combinatory Finite Element and Artificial Neural Network Model for Predicting Performance of Thermoelectric Generator," Energies, MDPI, vol. 11(9), pages 1-17, August.
    2. Martí Comamala & Ivan Ruiz Cózar & Albert Massaguer & Eduard Massaguer & Toni Pujol, 2018. "Effects of Design Parameters on Fuel Economy and Output Power in an Automotive Thermoelectric Generator," Energies, MDPI, vol. 11(12), pages 1-28, November.

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