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Multi-objective spectral range optimization for different heat source temperatures to maximize thermophotovoltaic performance using NSGA-II

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  • Liu, Xiu-Li
  • Li, Xiao-Lei
  • Xia, Xin-Lin
  • Chen, Xue

Abstract

The energy conversion efficiency (ECE) and output power density of thermophotovoltaic (TPV) cells are mutually constraining. To better utilize this relationship, a framework was proposed to integrate the internal quantum efficiency (IQE) of TPV cells with a multi-objective genetic algorithm (NSGA-II) to optimize both efficiency and power density across diverse operating conditions. A spectrally selective emitter with a temperature of 1000–3000 K was selected as the radiation source for the studied TPV devices, capable of emitting a spectrum between 0.4 and 2.0 μm. The gallium antimonide (GaSb) cell was selected as the exploration cell, operating within a temperature range of 0–200 °C. Through theoretical calculation, the changes in physical parameters and IQE curves of GaSb cells at various temperatures were determined. The optimal spectral range for varying cell and emitter temperatures was determined using the NSGA-II algorithm. It was found that the IQE curve decreases with increasing temperature. Due to the spectral mismatch, the TPV conversion efficiency is much less than 20 % when the spectral range of the cell is 0.4–2.0 μm at room temperature. By incorporating IQE into the multi-objective optimization, the efficiency and power density distribution curves can be divided into three regions. In practical applications, the corresponding regions can be selected based on different efficiency and output power requirements.

Suggested Citation

  • Liu, Xiu-Li & Li, Xiao-Lei & Xia, Xin-Lin & Chen, Xue, 2024. "Multi-objective spectral range optimization for different heat source temperatures to maximize thermophotovoltaic performance using NSGA-II," Renewable Energy, Elsevier, vol. 237(PB).
    • Handle: RePEc:eee:renene:v:237:y:2024:i:pb:s0960148124016124
    DOI: 10.1016/j.renene.2024.121544
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    References listed on IDEAS

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    1. Abbassi, Rabeh & Abbassi, Abdelkader & Jemli, Mohamed & Chebbi, Souad, 2018. "Identification of unknown parameters of solar cell models: A comprehensive overview of available approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 453-474.
    2. Zhang, Chao & Tang, Liangliang & Liu, Yan & Liu, Zhuming & Liu, Wei & Qiu, Kuanrong, 2020. "A novel thermophotovoltaic optical cavity for improved irradiance uniformity and system performance," Energy, Elsevier, vol. 195(C).
    3. Xie, Bo & Peng, Qingguo & Yang, Wenming & Li, Shaobo & E, Jiaqiang & Li, Zhenwei & Tao, Meng & Zhang, Ansi, 2022. "Effect of pins and exit-step on thermal performance and energy efficiency of hydrogen-fueled combustion for micro-thermophotovoltaic," Energy, Elsevier, vol. 239(PD).
    4. Fan, Yi & Wang, Pengjun & Heidari, Ali Asghar & Chen, Huiling & HamzaTurabieh, & Mafarja, Majdi, 2022. "Random reselection particle swarm optimization for optimal design of solar photovoltaic modules," Energy, Elsevier, vol. 239(PA).
    5. Keshtkar, Mohammad Mehdi & Talebizadeh, Pouyan, 2017. "Multi-objective optimization of cooling water package based on 3E analysis: A case study," Energy, Elsevier, vol. 134(C), pages 840-849.
    6. Wang, Fuqiang & Shi, Xuhang & Zhang, Chuanxin & Cheng, Ziming & Chen, Xue, 2020. "Effects of non-uniform porosity on thermochemical performance of solar driven methane reforming," Energy, Elsevier, vol. 191(C).
    7. Datas, Alejandro & Ramos, Alba & Martí, Antonio & del Cañizo, Carlos & Luque, Antonio, 2016. "Ultra high temperature latent heat energy storage and thermophotovoltaic energy conversion," Energy, Elsevier, vol. 107(C), pages 542-549.
    8. Wang, Gang & Zhao, Ke & Qiu, Tian & Yang, Xinsheng & Zhang, Yong & Zhao, Yong, 2016. "The error analysis of the reverse saturation current of the diode in the modeling of photovoltaic modules," Energy, Elsevier, vol. 115(P1), pages 478-485.
    9. Zafer Utlu & Büşra Selenay Önal, 2018. "Thermodynamic analysis of thermophotovoltaic systems used in waste heat recovery systems: an application," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 13(1), pages 52-60.
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