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Thermodynamic analysis of thermophotovoltaic systems used in waste heat recovery systems: an application

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  • Zafer Utlu
  • Büşra Selenay Önal

Abstract

Thermodynamic analysis of the thermophotovoltaic (TPV) system was carried out in our research and the results are presented. First, the TPV system was analyzed in three different regions. In the analysis, each part of the system is taken separately, while the whole system is handled separately. Within the thermodynamic analysis of each region, energy and exergy analysis were carried out and the system was analyzed from part to part. As a result of this method, a general energy and exergy efficiency of the whole TPV system is determined. Our results are supported by formulas. The In0.2Ga0.8As0.18Sb0.82 cell has a higher efficiency compared to the GaSb cell at the same source temperature. This is because the reverse saturation current and the energy band gap are low and the short-circuit current is high. If TPV systems are applied for waste heat energy potential in the Turkish iron and steel industry, the energy efficiency of GaSb cell systems is 66 192 MJ per year with energy efficiency of 2.04%, the energy efficiency of In0.2Ga0.8As0.18Sb0.82 cell systems is 7.31% with annual energy efficiency of 189 971 MJ can be recovered. It is aimed that the work done will be an alternative to the existing electricity generation and will form a resource for future works.

Suggested Citation

  • 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.
    • Handle: RePEc:oup:ijlctc:v:13:y:2018:i:1:p:52-60.
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctx019
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    References listed on IDEAS

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    1. Utlu, Zafer & Hepbasli, Arif, 2007. "Assessment of the Turkish utility sector through energy and exergy analyses," Energy Policy, Elsevier, vol. 35(10), pages 5012-5020, October.
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    Cited by:

    1. Zafer Utlu & Mert Tolon & Arif Karabuga, 2021. "Modelling of energy and exergy analysis of ORC integrated systems in terms of sustainability by applying artificial neural network [Thermodynamic performance evaluation of a novel solar energy base," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(1), pages 156-164.

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