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Exergy, economic and environmental analysis and multi-objective optimization of a SOFC-GT power plant

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  • Shamoushaki, Moein
  • Ehyaei, M.A.
  • Ghanatir, Farrokh

Abstract

Thermodynamic, exergy, economic and environmental analysis of a solid oxide fuel cell and gas turbine hybrid cycle have been done in this paper. Also, multi-objective optimization of this cycle has been done by NSGA-II algorithm. In order to defining of the optimum design point, interactive fuzzy multi-objective method has been used. At optimum point, the cost function value, 0.0435 (US$/s) and exergy efficiency approximately 57.7% have been obtained. As well, sensitivity analysis of fuel cost per energy unit into objective functions has been done. In addition, rising inlet temperature of gas turbine from 900 up to 1600 (K), has caused an increase in output power up to 8.5% and entropy generation about 30% and a reduction in exergy efficiency from 61.9% to 51.7%. By evaluation of entropy generation rate, it has been concluded that most of enthalpy generation rate (32%) is related to combustion chamber. Increasing of fuel cell stack temperature causes an increase in exergy efficiency from 56.6% up to 60.2% and about 34.8% in output power of the cycle and a reduction in exergy efficiency from 62.8% to 59.1% and 8.4% in fuel cell power. Also, payback time of this cycle is about 3.12 years.

Suggested Citation

  • Shamoushaki, Moein & Ehyaei, M.A. & Ghanatir, Farrokh, 2017. "Exergy, economic and environmental analysis and multi-objective optimization of a SOFC-GT power plant," Energy, Elsevier, vol. 134(C), pages 515-531.
    • Handle: RePEc:eee:energy:v:134:y:2017:i:c:p:515-531
    DOI: 10.1016/j.energy.2017.06.058
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    3. M. Ehyaei & M. Kasaeian & Stéphane Abanades & Armin Razmjoo & Hamed Afshari & Marc Rosen & Biplab Das, 2023. "Natural gas‐fueled multigeneration for reducing environmental effects of brine and increasing product diversity: Thermodynamic and economic analyses," Post-Print hal-04113893, HAL.
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    7. Habibollahzade, Ali & Gholamian, Ehsan & Behzadi, Amirmohammad, 2019. "Multi-objective optimization and comparative performance analysis of hybrid biomass-based solid oxide fuel cell/solid oxide electrolyzer cell/gas turbine using different gasification agents," Applied Energy, Elsevier, vol. 233, pages 985-1002.
    8. Chandrakant Nikam, Keval & Jathar, Laxmikant & Shelare, Sagar Dnyaneshwar & Shahapurkar, Kiran & Dambhare, Sunil & Soudagar, Manzoore Elahi M. & Mubarak, Nabisab Mujawar & Ahamad, Tansir & Kalam, M.A., 2023. "Parametric analysis and optimization of 660 MW supercritical power plant," Energy, Elsevier, vol. 280(C).
    9. Naserbegi, A. & Aghaie, M. & Minuchehr, A. & Alahyarizadeh, Gh, 2018. "A novel exergy optimization of Bushehr nuclear power plant by gravitational search algorithm (GSA)," Energy, Elsevier, vol. 148(C), pages 373-385.
    10. Shamoushaki, Moein & Fiaschi, Daniele & Manfrida, Giampaolo & Talluri, Lorenzo, 2022. "Energy, exergy, economic and environmental (4E) analyses of a geothermal power plant with NCGs reinjection," Energy, Elsevier, vol. 244(PA).
    11. Roy, Dibyendu & Samanta, Samiran & Ghosh, Sudip, 2020. "Performance assessment of a biomass fuelled advanced hybrid power generation system," Renewable Energy, Elsevier, vol. 162(C), pages 639-661.
    12. Moein Shamoushaki & Pouriya H. Niknam & Lorenzo Talluri & Giampaolo Manfrida & Daniele Fiaschi, 2021. "Development of Cost Correlations for the Economic Assessment of Power Plant Equipment," Energies, MDPI, vol. 14(9), pages 1-19, May.
    13. Moein Shamoushaki & Giampaolo Manfrida & Lorenzo Talluri & Pouriya H. Niknam & Daniele Fiaschi, 2021. "Different Geothermal Power Cycle Configurations Cost Estimation Models," Sustainability, MDPI, vol. 13(20), pages 1-19, October.

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