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Exergoeconomic analysis and optimization of a triple-pressure combined cycle plant using evolutionary algorithm

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  • Bakhshmand, Sina Kazemi
  • Saray, Rahim Khoshbakhti
  • Bahlouli, Keyvan
  • Eftekhari, Hajar
  • Ebrahimi, Afshin

Abstract

Among power generation systems, CCPPs (combined cycle power plants) are attractive due to their higher efficiency and lower environmental impacts. Optimization process is a promising manner in order to find the best performance criteria of complex energy conversion systems. In present paper, exergoeconomic analysis and optimization of a triple-pressure combined cycle plant with one reheat stage is under investigation. The objective function which is utilized in the optimization study is the total cost rate of the plant. The results show that optimization process leads to an increase of about 3% in both energetic and exergetic efficiencies and also, a reduction of about 9% in the cost criteria. In addition, the specific cost of product of the plant is reduced from 21.48 (€/h) for the base case to 20.90 (€/h) for the optimum case; thus, the optimization process causes about 3% decrement in the specific cost of product and consequently cost of produced electricity.

Suggested Citation

  • Bakhshmand, Sina Kazemi & Saray, Rahim Khoshbakhti & Bahlouli, Keyvan & Eftekhari, Hajar & Ebrahimi, Afshin, 2015. "Exergoeconomic analysis and optimization of a triple-pressure combined cycle plant using evolutionary algorithm," Energy, Elsevier, vol. 93(P1), pages 555-567.
    • Handle: RePEc:eee:energy:v:93:y:2015:i:p1:p:555-567
    DOI: 10.1016/j.energy.2015.09.073
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    2. Rossi, Iacopo & Sorce, Alessandro & Traverso, Alberto, 2017. "Gas turbine combined cycle start-up and stress evaluation: A simplified dynamic approach," Applied Energy, Elsevier, vol. 190(C), pages 880-890.
    3. Kotowicz, Janusz & Brzęczek, Mateusz, 2018. "Analysis of increasing efficiency of modern combined cycle power plant: A case study," Energy, Elsevier, vol. 153(C), pages 90-99.
    4. Mohammad Hossein Ahmadi & Seyed Ali Banihashem & Mahyar Ghazvini & Milad Sadeghzadeh, 2018. "Thermo-economic and exergy assessment and optimization of performance of a hydrogen production system by using geothermal energy," Energy & Environment, , vol. 29(8), pages 1373-1392, December.
    5. Yang, Yongping & Bai, Ziwei & Zhang, Guoqiang & Li, Yongyi & Wang, Ziyu & Yu, Guangying, 2019. "Design/off-design performance simulation and discussion for the gas turbine combined cycle with inlet air heating," Energy, Elsevier, vol. 178(C), pages 386-399.
    6. Katulić, Stjepko & Čehil, Mislav & Schneider, Daniel Rolph, 2018. "Thermodynamic efficiency improvement of combined cycle power plant's bottom cycle based on organic working fluids," Energy, Elsevier, vol. 147(C), pages 36-50.
    7. Bahlouli, Keyvan & Khoshbakhti Saray, Rahim, 2016. "Energetic and exergetic analyses of a new energy system for heating and power production purposes," Energy, Elsevier, vol. 106(C), pages 390-399.
    8. Sahu, Mithilesh Kumar & Sanjay,, 2017. "Thermoeconomic investigation of power utilities: Intercooled recuperated gas turbine cycle featuring cooled turbine blades," Energy, Elsevier, vol. 138(C), pages 490-499.
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    10. Khaljani, M. & Saray, R. Khoshbakhti & Bahlouli, K., 2016. "Evaluation of a combined cycle based on an HCCI (Homogenous Charge Compression Ignition) engine heat recovery employing two organic Rankine cycles," Energy, Elsevier, vol. 107(C), pages 748-760.
    11. Çetin, Gürcan & Keçebaş, Ali, 2021. "Optimization of thermodynamic performance with simulated annealing algorithm: A geothermal power plant," Renewable Energy, Elsevier, vol. 172(C), pages 968-982.

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