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Performance evaluation and optimization of a perovskite solar cell-thermoelectric generator hybrid system

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  • Liao, Tianjun
  • He, Qijiao
  • Xu, Qidong
  • Dai, Yawen
  • Cheng, Chun
  • Ni, Meng

Abstract

In order to improve the photo-to-electric energy conversion efficiency, a hybrid system is proposed by integrating a thermoelectric generator (TEG) with a perovskite solar cell (PSC). According to the derived formulas for the efficiency and power output of the hybrid system, three especial work states such as opened TEG, opened PSC, and PSC-TEG tandem cells are, respectively, discussed through numerical simulation. Further, we study the general work state, i.e., the PSC and the TEG independently drive their loads and are coupled with each other through energy balance equation. The matching loads 0.13Ωand 12.3Ωof the two subsystems and the optimum area 0.0324 m2 of the PSC can be chosen to obtain the maximum efficiency 0.216. Moreover, the perovskite layer’s optimum thickness 449.7nmis designed to obtain the overall maximum efficiency 0.229. For comparison, the hybrid system achieves improved overall energy efficiency by harnessing the waste heat produced in the PSC. The proposed model may provide some theoretical bases for the optimal design of practical PSC–TEG hybrid systems.

Suggested Citation

  • Liao, Tianjun & He, Qijiao & Xu, Qidong & Dai, Yawen & Cheng, Chun & Ni, Meng, 2020. "Performance evaluation and optimization of a perovskite solar cell-thermoelectric generator hybrid system," Energy, Elsevier, vol. 201(C).
    • Handle: RePEc:eee:energy:v:201:y:2020:i:c:s0360544220307726
    DOI: 10.1016/j.energy.2020.117665
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    10. Mohammadnia, Ali & Ziapour, Behrooz M. & Sedaghati, Farzad & Rosendahl, Lasse & Rezania, Alireza, 2021. "Fan operating condition effect on performance of self- cooling thermoelectric generator system," Energy, Elsevier, vol. 224(C).
    11. Zhao, Qin & Li, Jianming & Zhang, Houcheng, 2024. "Synergizing perovskite solar cell and thermoelectric generator for broad-spectrum utilization: Model updating, performance assessment and optimization," Energy, Elsevier, vol. 289(C).
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