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Thermodynamic and thermoeconomic optimization of an integrated gas turbine and organic Rankine cycle

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  • Khaljani, M.
  • Khoshbakhti Saray, R.
  • Bahlouli, K.

Abstract

A multi objective optimization method is conducted for a cogeneration system to achieve the best system design parameters from both thermodynamic and economic aspects by utilizing NSGA-II (non-dominated sorting genetic algorithm-II). Exergy efficiency and total cost rate of the system have been considered as objective functions. The cogeneration system consists of a gas turbine and an ORC (organic Rankine cycle) in which the two cycles are connected through a single-pressure HRSG (heat recovery steam generator). In order to optimize the system, air compressor pressure ratio, isentropic efficiencies of air compressor and gas turbine, air preheater outlet temperature, turbine inlet temperature, Pinch point temperatures of HRSG and evaporator, condenser and evaporator temperatures are selected as decision variables. Optimization results indicate that exergy efficiency of the cycle increases from 51.4% at base case to 56.15% at the optimized condition while more than 12.98% reduction is achieved in the total cost rate of the system. Also, by applying multi-objective optimization method, the exergo-economic factor has reached from 10.68 to 28.54 suggesting that optimum system is achievable when the system costs are due to the investment costs. Furthermore, it is found that the gas turbine inlet temperature has important role on the trade-off between exergy efficiency and cost criteria.

Suggested Citation

  • Khaljani, M. & Khoshbakhti Saray, R. & Bahlouli, K., 2015. "Thermodynamic and thermoeconomic optimization of an integrated gas turbine and organic Rankine cycle," Energy, Elsevier, vol. 93(P2), pages 2136-2145.
    • Handle: RePEc:eee:energy:v:93:y:2015:i:p2:p:2136-2145
    DOI: 10.1016/j.energy.2015.10.002
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    References listed on IDEAS

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    3. Nondy, J. & Gogoi, T.K., 2021. "Performance comparison of multi-objective evolutionary algorithms for exergetic and exergoenvironomic optimization of a benchmark combined heat and power system," Energy, Elsevier, vol. 233(C).
    4. Ferrara, G. & Lanzini, A. & Leone, P. & Ho, M.T. & Wiley, D.E., 2017. "Exergetic and exergoeconomic analysis of post-combustion CO2 capture using MEA-solvent chemical absorption," Energy, Elsevier, vol. 130(C), pages 113-128.
    5. 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.
    6. Mohammad Ali Motamed & Lars O. Nord, 2021. "Assessment of Organic Rankine Cycle Part-Load Performance as Gas Turbine Bottoming Cycle with Variable Area Nozzle Turbine Technology," Energies, MDPI, vol. 14(23), pages 1-18, November.
    7. Zare, A. Darabadi & Saray, R. Khoshbakhti & Mirmasoumi, S. & Bahlouli, K., 2019. "Optimization strategies for mixing ratio of biogas and natural gas co-firing in a cogeneration of heat and power cycle," Energy, Elsevier, vol. 181(C), pages 635-644.
    8. Dominika Matuszewska, 2023. "Economic Analysis of Gas Turbine Using to Increase Efficiency of the Organic Rankine Cycle," Sustainability, MDPI, vol. 16(1), pages 1-18, December.
    9. Han, Xiaoqu & Dai, Yanbing & Guo, Xuanhua & Braimakis, Konstantinos & Karellas, Sotirios & Yan, Junjie, 2024. "A novel dual-stage intercooled and recuperative gas turbine system integrated with transcritical organic Rankine cycle: System modeling, energy and exergy analyses," Energy, Elsevier, vol. 305(C).

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