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Energy and exergy analysis and multi-objective optimization of using combined vortex tube-photovoltaic/thermal system in city gate stations

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Listed:
  • Shahsavar, Amin
  • Jahangiri, Ali
  • Qatarani nejad, Amir
  • Ahmadi, Gholamreza
  • Karamzadeh dizaji, Alireza

Abstract

The goal of this study is to investigate the possibility of replacing the water bath heater and pressure relief valve with a hybrid vortex tube-photovoltaic/thermal system in pressure reduction stations like city gate stations. By using this system, both the natural gas pressure can be reduced to the desired level (from 5-7 MPa to 1.5–2 MPa) and electricity can be generated. The effect of cold mass fraction of vortex tube (0.01–0.1), air mass flow rate (0.569–5.69 kg/s) as well as the length (1–10 m), width (0.5–5 m) and depth (0.1–0.5 m) of the photovoltaic/thermal system on the energy and exergy performance of the hybrid vortex tube-photovoltaic/thermal system is investigated. Then, the genetic algorithm based two-objective optimization is used to find the appropriate value of these parameters to maximize the annual average first-law efficiency (ηI) and second-law efficiency (ηII) of the hybrid system. It was found that the ηI and ηII of the optimal system are respectively 74.05% and 19.46%. Moreover, it was observed that the use of optimal system causes a reduction in the CO2 emission by 27.7-tons per year.

Suggested Citation

  • Shahsavar, Amin & Jahangiri, Ali & Qatarani nejad, Amir & Ahmadi, Gholamreza & Karamzadeh dizaji, Alireza, 2022. "Energy and exergy analysis and multi-objective optimization of using combined vortex tube-photovoltaic/thermal system in city gate stations," Renewable Energy, Elsevier, vol. 196(C), pages 1017-1028.
  • Handle: RePEc:eee:renene:v:196:y:2022:i:c:p:1017-1028
    DOI: 10.1016/j.renene.2022.07.057
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    References listed on IDEAS

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    1. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
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    5. Piero Danieli & Massimo Masi & Andrea Lazzaretto & Gianluca Carraro & Gabriele Volpato, 2022. "A Smart Energy Recovery System to Avoid Preheating in Gas Grid Pressure Reduction Stations," Energies, MDPI, vol. 15(1), pages 1-31, January.
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    Cited by:

    1. Alshibil, Ahssan M.A. & Farkas, István & Víg, Piroska, 2023. "Thermodynamical analysis and evaluation of louver-fins based hybrid bi-fluid photovoltaic/thermal collector systems," Renewable Energy, Elsevier, vol. 206(C), pages 1120-1131.
    2. Wang, Chuyao & Ji, Jie & Song, Zhiying & Ke, Wei, 2024. "Performance analysis and capacity configuration of building energy system integrated with PV/T technology under different operation strategies," Energy, Elsevier, vol. 293(C).

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