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Multi-objective Optimization of Cogeneration of Power and Heat in a Combined Gas Turbine and Organic Rankine Cycle

  • Khaljani Mansureh
  • Khoshbakhti Saray Rahim
  • Bahlouli Keyvan
Chapter
Part of the Green Energy and Technology book series (GREEN)

Abstract

A multi-objective optimization method of cogeneration of power and heat in a combined gas turbine and organic Rankine cycle (ORC) is conducted to achieve the best system design parameters from both thermodynamic and economic aspects by utilizing nondominated sorting genetic algorithm-II (NSGA-II). Exergy efficiency and total cost rate of the system have been considered as objective functions. The cogeneration system consists of a gas turbine (GT) and an organic Rankine cycle (ORC) in which the two cycles are connected through a single-pressure heat recovery steam generator (HRSG). In order to optimize the system, air compressor pressure ratio, air compressor isentropic efficiency, air preheater outlet temperature, turbine inlet temperature, isentropic efficiency of the gas turbine, pinch point temperature of HRSG, pinch point temperature of evaporator, evaporator temperature, and condenser temperature have been selected as decision variables. Optimization results indicate that exergy efficiency of the cycle increases from 51.41% at base case to 55.6% while more than 9.15% reduction is achieved in the total cost rate of the cycle. Also by applying multi-objective optimization, the exergo-economic factor has reached from 10.68 to 27.40.

Keywords

Exergy Genetic algorithm Optimization Cogeneration Organic Rankine cycle 

References

  1. Ahmadi, P., Dincer, I.: Thermodynamic and exergoenvironmental analyses, and multi-objective optimization of a gas turbine power plant. Appl. Therm. Eng. 31(14), 2529–2540 (2011)CrossRefGoogle Scholar
  2. Ahmadi, P., Rosen, M.A., Dincer, I.: Greenhouse gas emission and exergo-environmental analyses of a trigeneration energy system. Int. J. Greenhouse Gas Control. 5(6), 1540–1549 (2011)CrossRefGoogle Scholar
  3. Ahmadi, P., Dincer, I., Rosen, M.A.: Exergo-environmental analysis of an integrated organic Rankine cycle for trigeneration. Energy Convers. Manag. 64, 447–453 (2012)CrossRefGoogle Scholar
  4. Al-Sulaiman, F.: Thermodynamic Modeling and Thermoeconomic Optimization of Integrated Trigeneration Plants Using Organic Rankine Cycles, Ph.D Thesis, University of Waterloo, Waterloo, Ontario, Canada (2010)Google Scholar
  5. Baghernejad, A., Yaghoubi, M.: Exergoeconomic analysis and optimization of an integrated solar combined cycle system (ISCCS) using genetic algorithm. Energy Convers. Manag. 52(5), 2193–2203 (2011)CrossRefGoogle Scholar
  6. Bamgbopa, M.O.: Modeling and performance evaluation of an organic Rankine cycle (ORC) with R245fa as working fluid. Middle East Technical University. (2012)Google Scholar
  7. Bejan, A., Moran, M.J.: Thermal Design and Optimization. Wiley, New York (1996)zbMATHGoogle Scholar
  8. Chacartegui, R., Sánchez, D., Muñoz, J., Sánchez, T.: Alternative ORC bottoming cycles for combined cycle power plants. Appl. Energy. 86(10), 2162–2170 (2009)CrossRefGoogle Scholar
  9. Ghaebi, H., Amidpour, M., Karimkashi, S., Rezayan, O.: Energy, exergy and thermoeconomic analysis of a combined cooling, heating and power (CCHP) system with gas turbine prime mover. Int. J. Energy Res. 35(8), 697–709 (2011)CrossRefGoogle Scholar
  10. Haupt, R.L., Haupt, S.E.: Practical Genetic Algorithms. Wiley, New York (2004)zbMATHGoogle Scholar
  11. Kwon, Y.-H., Kwak, H.-Y., Oh, S.-D.: Exergoeconomic analysis of gas turbine cogeneration systems. Exergy Int. J. 1(1), 31–40 (2001)CrossRefGoogle Scholar
  12. Lazzaretto, A., Tsatsaronis, G.: A general process-based methodology for exergy costing. Proc. ASME advanced energy sys. Div. AES. 36, 413–428 (1996)Google Scholar
  13. Lazzaretto, A., Tsatsaronis, G.: SPECO: a systematic and general methodology for calculating efficiencies and costs in thermal systems. Energy. 31(8), 1257–1289 (2006)CrossRefGoogle Scholar
  14. Lozano, M., Valero, A.: Theory of the exergetic cost. Energy. 18(9), 939–960 (1993)CrossRefGoogle Scholar
  15. Mago, P.J., Luck, R.: Energetic and exergetic analysis of waste heat recovery from a microturbine using organic Rankine cycles. Int. J. Energy Res. 37(8), 888–898 (2013)CrossRefGoogle Scholar
  16. Mago, P.J., Chamra, L.M., Srinivasan, K., Somayaji, C.: An examination of regenerative organic Rankine cycles using dry fluids. Appl. Therm. Eng. 28(8), 998–1007 (2008)CrossRefGoogle Scholar
  17. Nafey, A., Sharaf, M.: Combined solar organic Rankine cycle with reverse osmosis desalination process: energy, exergy, and cost evaluations. Renew. Energy. 35(11), 2571–2580 (2010)CrossRefGoogle Scholar
  18. Petrakopoulou, F., Boyano, A., Cabrera, M., Tsatsaronis, G.: Exergoeconomic and exergoenvironmental analyses of a combined cycle power plant with chemical looping technology. Int. J. Greenhouse Gas Control. 5(3), 475–482 (2011)CrossRefGoogle Scholar
  19. Pierobon, L., Nguyen, T.-V., Larsen, U., Haglind, F., Elmegaard, B.: Multi-objective optimization of organic Rankine cycles for waste heat recovery: application in an offshore platform. Energy. 58, 538–549 (2013)CrossRefGoogle Scholar
  20. Quoilin, S., Declaye, S., Tchanche, B.F., Lemort, V.: Thermo-economic optimization of waste heat recovery organic Rankine cycles. Appl. Therm. Eng. 31(14), 2885–2893 (2011)CrossRefGoogle Scholar
  21. Sayyaadi, H.: Multi-objective approach in thermoenvironomic optimization of a benchmark cogeneration system. Appl. Energy. 86(6), 867–879 (2009)CrossRefGoogle Scholar
  22. Sayyaadi, H., Nejatolahi, M.: Multi-objective optimization of a cooling tower assisted vapor compression refrigeration system. Int. J. Refrig. 34(1), 243–256 (2011)CrossRefGoogle Scholar
  23. Shokati, N., Mohammadkhani, F., Yari, M., Mahmoudi, S., Rosen, M.A.: A comparative Exergoeconomic analysis of waste heat recovery from a gas turbine-modular helium reactor via organic Rankine cycles. Sustain. 6(5), 2474–2489 (2014)CrossRefGoogle Scholar
  24. Shu, G., Liu, L., Tian, H., Wei, H., Xu, X.: Performance comparison and working fluid analysis of subcritical and transcritical dual-loop organic Rankine cycle (DORC) used in engine waste heat recovery. Energy Convers. Manag. 74, 35–43 (2013)CrossRefGoogle Scholar
  25. Vélez, F., Segovia, J.J., Martín, M.C., Antolín, G., Chejne, F., Quijano, A.: A technical, economical and market review of organic Rankine cycles for the conversion of low-grade heat for power generation. Renew. Sust. Energ. Rev. 16(6), 4175–4189 (2012)CrossRefGoogle Scholar
  26. Vetter, C., Wiemer, H.-J., Kuhn, D.: Comparison of sub- and supercritical organic Rankine cycles for power generation from low-temperature/low-enthalpy geothermal wells, considering specific net power output and efficiency. Appl. Therm. Eng. 51(1), 871–879 (2013)CrossRefGoogle Scholar
  27. Wang, D., Ling, X., Peng, H., Liu, L., Tao, L.: Efficiency and optimal performance evaluation of organic Rankine cycle for low grade waste heat power generation. Energy. 50, 343–352 (2013)CrossRefGoogle Scholar
  28. Yari, M.: Performance analysis of the different organic Rankine cycles (ORCs) using dry fluids. Int. J. Exergy. 6(3), 323–342 (2009)MathSciNetCrossRefGoogle Scholar
  29. Yari, M., Mahmoudi, S.: A thermodynamic study of waste heat recovery from GT-MHR using organic Rankine cycles. Heat Mass Transf. 47(2), 181–196 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Khaljani Mansureh
    • 1
  • Khoshbakhti Saray Rahim
    • 1
  • Bahlouli Keyvan
    • 1
  1. 1.Faculty of Mechanical EngineeringSahand University of TechnologyTabrizIran

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