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http://hdl.handle.net/10397/103208
| Title: | Performance evaluation and optimization of a perovskite solar cell-thermoelectric generator hybrid system | Authors: | Liao, T He, Q Xu, Q Dai, Y Cheng, C Ni, M |
Issue Date: | 15-Jun-2020 | Source: | Energy, 15 June 2020, v. 201, 117665 | 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 0.13Ω and 12.3Ω of 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. | Keywords: | Hybrid system Matching load Performance evaluation Perovskite solar cell (PSC) Thermoelectric generator (TEG) |
Publisher: | Elsevier Ltd | Journal: | Energy | ISSN: | 0360-5442 | EISSN: | 1873-6785 | DOI: | 10.1016/j.energy.2020.117665 | Rights: | © 2020 Elsevier Ltd. All rights reserved. © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ The following publication Liao, T., He, Q., Xu, Q., Dai, Y., Cheng, C., & Ni, M. (2020). Performance evaluation and optimization of a perovskite solar cell-thermoelectric generator hybrid system. Energy, 201, 117665 is available at https://doi.org/10.1016/j.energy.2020.117665. |
| Appears in Collections: | Journal/Magazine Article |
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| Liao_Performance_Evaluation_Optimization.pdf | Pre-Published version | 1.06 MB | Adobe PDF | View/Open |
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