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Multi-objective optimization to enhance the performance of thermo-electric generator combined with heat pipe-heat sink under forced convection

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  • Elghool, Ali
  • Basrawi, Firdaus
  • Ibrahim, Thamir Khalil
  • Ibrahim, Hassan
  • Ishak, M.
  • Hazwan bin Yusof, Mohd
  • Bagaber, Salem Abdullah

Abstract

The performance of Thermo-Electric Generator (TEG) is negatively affected by heat sink lack of design. The heat pipe heat sink (HP-HS) has the best performance compared to other conventional cooling systems which uses TEG. In medium temperature range below 300 °C, HP-HS is the most appropriate heat exchanger of the TEG. However, the effect of some parameters of fin space, fin length, fin height, fin materials and optimum geometry of the cold side of the TEG HP-HS under forced convection (FC) has not been fully studied. The objective of this paper is to conduct an analytical and statistical study on these parameters effect on the performance of the TEG. In addition, this paper determines the optimum geometry of HP-HS and materials of aluminum (AL) and copper (CO) at 250 °C of heat source temperatures. Central composite design model (CCD) has been used to design the experiments using response surface methodology (RSM). The multi-objective optimization using RSM is applied to determine the optimum geometry of HP-HS in terms of maximising the TEG power output (P), TEG efficiency (η), and minimising HP-HS cost ($). Compared with the literature, the results showed an improvement in TEG performance. The maximum P and η after optimization were 9.6 W and 3.3%, respectively. The percentage difference of TEG efficiency (η) compared with best previous results were, 18.78%. In addition, the CO HP-HS was found to be preferred over AL, because of its lower $/P, at 7.57 USD/W, as compared to AL, at 8.74 USD. Finally, this study shows an improvement in HP-HS cost; a reduction of 29% was achieved compared with the estimated HP-HS cost in literature.

Suggested Citation

  • Elghool, Ali & Basrawi, Firdaus & Ibrahim, Thamir Khalil & Ibrahim, Hassan & Ishak, M. & Hazwan bin Yusof, Mohd & Bagaber, Salem Abdullah, 2020. "Multi-objective optimization to enhance the performance of thermo-electric generator combined with heat pipe-heat sink under forced convection," Energy, Elsevier, vol. 208(C).
    • Handle: RePEc:eee:energy:v:208:y:2020:i:c:s0360544220313773
    DOI: 10.1016/j.energy.2020.118270
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    2. Ge, Ya & Xiao, Qiyin & Wang, Wenhao & Lin, Yousheng & Huang, Si-Min, 2022. "Design of high-performance photovoltaic-thermoelectric hybrid systems using multi-objective genetic algorithm," Renewable Energy, Elsevier, vol. 200(C), pages 136-145.
    3. Cai, Yeyun & Ding, Ning & Rezania, A. & Deng, Fang & Rosendahl, L. & Chen, Jie, 2023. "A multi-objective optimization in system level for thermoelectric generation system," Energy, Elsevier, vol. 281(C).
    4. Zou, Wen-Jiang & Shen, Kun-Yang & Jung, Seunghun & Kim, Young-Bae, 2021. "Application of thermoelectric devices in performance optimization of a domestic PEMFC-based CHP system," Energy, Elsevier, vol. 229(C).

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