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OPTIMIZATION OF A NEW CONFIGURATION OF POWER TRI-GENERATION CYCLE BY THE USE OF A MULTI-PURPOSE GENETIC ALGORITHM

Year 2020, Volume: 6 Issue: 2 - Issue Name: Special Issue 11: 10th Eureca Conference Taylor's University Malaysia, Subangiaya, Malaysia, 65 - 91, 30.03.2020
https://doi.org/10.18186/thermal.726076

Abstract

In the current study, a new configuration of power tri-generation cycle was suggested. In this cycle, the energy of hot gases output from the gas cycle in the heat recovery steam generator (HRSG), and the waste energy of the condenser in the steam cycle were recovered in the Organic Rankine Cycle (ORC). After the energy, exergy, and economic modeling of the cycle, the optimization of this cycle by the use of multipurpose genetic algorithm was performed. The objective functions were the electricity cost and the second law efficiency of thermodynamics. The variables chosen for optimization were the air to fuel molar ratio, the compression, and expansion ratio of the compressor and turbine of the gas cycle, the mass flow rate of water steam and refrigerant in steam cycles and ORC, the Pinch points between the gas cycle and steam, and steam cycles and ORC, and the maximum temperatures of the steam and ORC cycles. The optimization results showed that by choosing the optimal values of variables, the efficiency of the first and second thermodynamic laws, and the produced entropy would be 67.3%, 68.9%, and 3342.5 kW/K. Also, the generated electricity cost was reduced to 0.049 US$/kWh.

References

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  • [25] Mozafari A, Ehyaei MA. Effects of Regeneration Heat Exchanger on Entropy, Electricity Cost, and Environmental Pollution Produced by Micro Gas Turbine System. International Journal of Green Energy. 2012;9(1):51-70. http://dx.doi.org/10.1080/15435075.2011.617021.
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  • [27] Yazdi B, Yazdi B, Ehyaei M, Ahmadi A. Optimization of micro combined heat and power gas turbine by genetic algorithm. Thermal Science. 2015;19(1):207-18. http://dx.doi.org/10.2298/tsci121218141y.
  • [28] Yazdi M, Aliehyaei M, Rosen M. Exergy, Economic and Environmental Analyses of Gas Turbine Inlet Air Cooling with a Heat Pump Using a Novel System Configuration. Sustainability. 2015;7(10):14259-86. http://dx.doi.org/10.3390/su71014259.
  • [29] Shamoushaki M, Ghanatir F, Ehyaei MA, Ahmadi A. Exergy and exergoeconomic analysis and multi-objective optimisation of gas turbine power plant by evolutionary algorithms. Case study: Aliabad Katoul power plant. International Journal of Exergy. 2017;22(3):279. http://dx.doi.org/10.1504/ijex.2017.083160.
  • [30] Shamoushaki M, Ehyaei M. Exergy, economic and environmental (3E) analysis of a gas turbine power plant and optimization by MOPSO algorithm. Thermal Science. 2018;22(6 Part A):2641-51. http://dx.doi.org/10.2298/tsci161011091s.
  • [31] Aliehyaei MA. Optimization Of Micro Gas Turbine By Economic, Exergy And Environment Analysis Using Genetic, Bee Colony And Searching Algorithms. Journal of Thermal Engineering. 2020:117-40. http://dx.doi.org/10.18186/thermal.672054.
  • [32] Abbassi A, Aliehyaei M. Exergy method of optimisation of a wavy plate indirect evaporative cooler. International Journal of Exergy. 2004;1(3):350. http://dx.doi.org/10.1504/ijex.2004.005562.
  • [33] Ghasemian E, Ehyaei MA. Evaluation and optimization of organic Rankine cycle (ORC) with algorithms NSGA-II, MOPSO, and MOEA for eight coolant fluids. International Journal of Energy and Environmental Engineering. 2017;9(1):39-57. http://dx.doi.org/10.1007/s40095-017-0251-7.
  • [34] Kazemi H, Ehyaei MA. Energy, exergy, and economic analysis of a geothermal power plant. Advances In Geo-Energy Research. 2018;2(2):190-209. http://dx.doi.org/10.26804/ager.2018.02.07.
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  • [39] Ehyaei MA, Mozafari A, Alibiglou MH. Exergy, economic & environmental (3E) analysis of inlet fogging for gas turbine power plant. Energy. 2011: http://dx.doi.org/10.1016/j.energy.2011.10.011.
  • [40] von Spakovsky M FC. . The Environomic Analysis and Optimization of a Gas Turbine Cycle with Cogeneration. 1994.
  • [41] Silveira JL, Tuna CE. Thermoeconomic analysis method for optimization of combined heat and power systems. Part I. Progress in Energy and Combustion Science. 2003;29(6):479-85. http://dx.doi.org/10.1016/s0360-1285(03)00041-8.
  • [42] Lecompte S, Huisseune H, van den Broek M, De Schampheleire S, De Paepe M. Part load based thermo-economic optimization of the Organic Rankine Cycle (ORC) applied to a combined heat and power (CHP) system. Applied Energy. 2013;111:871-81. http://dx.doi.org/10.1016/j.apenergy.2013.06.043.
  • [43] Scardigno D, Fanelli E, Viggiano A, Braccio G, Magi V. A genetic optimization of a hybrid organic Rankine plant for solar and low-grade energy sources. Energy. 2015;91:807-15. http://dx.doi.org/10.1016/j.energy.2015.08.066.
  • [44] Cao Y, Gao Y, Zheng Y, Dai Y. Optimum design and thermodynamic analysis of a gas turbine and ORC combined cycle with recuperators. Energy Conversion and Management. 2016;116:32-41. http://dx.doi.org/10.1016/j.enconman.2016.02.073.
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Year 2020, Volume: 6 Issue: 2 - Issue Name: Special Issue 11: 10th Eureca Conference Taylor's University Malaysia, Subangiaya, Malaysia, 65 - 91, 30.03.2020
https://doi.org/10.18186/thermal.726076

Abstract

References

  • [1] Darvish K, Ehyaei M, Atabi F, Rosen M. Selection of Optimum Working Fluid for Organic Rankine Cycles by Exergy and Exergy-Economic Analyses. Sustainability. 2015;7(11):15362-83. http://dx.doi.org/10.3390/su71115362.
  • [2] Tchanche BF, Lambrinos G, Frangoudakis A, Papadakis G. Low-grade heat conversion into power using organic Rankine cycles – A review of various applications. Renewable and Sustainable Energy Reviews. 2011;15(8):3963-79. http://dx.doi.org/10.1016/j.rser.2011.07.024.
  • [3] B. S. Working fluids for ORC Plants: Add-an circuits for waste heat utilization. VGB Kraftwerke Technik. 1986;66:419-26.
  • [4] Yamamoto T, Furuhata T, Arai N, Mori K. Design and testing of the Organic Rankine Cycle. Energy. 2001;26(3):239-51. http://dx.doi.org/10.1016/s0360-5442(00)00063-3.
  • [5] Wei D, Lu X, Lu Z, Gu J. Performance analysis and optimization of organic Rankine cycle (ORC) for waste heat recovery. Energy Conversion and Management. 2007;48(4):1113-9. http://dx.doi.org/10.1016/j.enconman.2006.10.020.
  • [6] Mago PJ, Chamra LM, Somayaji C. Performance analysis of different working fluids for use in organic Rankine cycles. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy. 2007;221(3):255-63. http://dx.doi.org/10.1243/09576509jpe372.
  • [7] Invernizzi C, Iora P, Silva P. Bottoming micro-Rankine cycles for micro-gas turbines. Applied Thermal Engineering. 2007;27(1):100-10. http://dx.doi.org/10.1016/j.applthermaleng.2006.05.003.
  • [8] Qingfu Z, Hui L. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Transactions on Evolutionary Computation. 2007;11(6):712-31. http://dx.doi.org/10.1109/tevc.2007.892759.
  • [9] Roy JP, Mishra MK, Misra A. Parametric optimization and performance analysis of a waste heat recovery system using Organic Rankine Cycle. Energy. 2010;35(12):5049-62. http://dx.doi.org/10.1016/j.energy.2010.08.013.
  • [10] Ahmadi P DI, Rosen MA. Exergoenvironmental analysis of a trigeneration system based on micro gas turbine and organic Rankine cycles. InProceedings of the Global Conference on Global Warming, Lisbon, Portugal 2011 Jul.
  • [11] Wang E, Zhang H, Fan B, Wu Y. Optimized performances comparison of organic Rankine cycles for low grade waste heat recovery. Journal of Mechanical Science and Technology. 2012;26(8):2301-12. http://dx.doi.org/10.1007/s12206-012-0603-4.
  • [12] 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. 2013;58:538-49. http://dx.doi.org/10.1016/j.energy.2013.05.039.
  • [13] Wang J, Yan Z, Wang M, Ma S, Dai Y. Thermodynamic analysis and optimization of an (organic Rankine cycle) ORC using low grade heat source. Energy. 2013;49:356-65. http://dx.doi.org/10.1016/j.energy.2012.11.009.
  • [14] Tańczuk M, Ulbrich R. Implementation of a biomass-fired co-generation plant supplied with an ORC (Organic Rankine Cycle) as a heat source for small scale heat distribution system – A comparative analysis under Polish and German conditions. Energy. 2013;62:132-41. http://dx.doi.org/10.1016/j.energy.2013.09.044.
  • [15] Clemente S, Micheli D, Reini M, Taccani R. Bottoming organic Rankine cycle for a small scale gas turbine: A comparison of different solutions. Applied Energy. 2013;106:355-64. http://dx.doi.org/10.1016/j.apenergy.2013.02.004.
  • [16] Carcasci C, Winchler L. Thermodynamic Analysis of an Organic Rankine Cycle for Waste Heat Recovery from an Aeroderivative Intercooled Gas Turbine. Energy Procedia. 2016;101:862-9. http://dx.doi.org/10.1016/j.egypro.2016.11.109.
  • [17] Cao Y, Dai Y. Comparative analysis on off-design performance of a gas turbine and ORC combined cycle under different operation approaches. Energy Conversion and Management. 2017;135:84-100. http://dx.doi.org/10.1016/j.enconman.2016.12.072.
  • [18] Khaljani M, Khoshbakhti Saray R, Bahlouli K. Comprehensive analysis of energy, exergy and exergo-economic of cogeneration of heat and power in a combined gas turbine and organic Rankine cycle. Energy Conversion and Management. 2015;97:154-65. http://dx.doi.org/10.1016/j.enconman.2015.02.067.
  • [19] Carcasci C, Ferraro R, Miliotti E. Thermodynamic analysis of an organic Rankine cycle for waste heat recovery from gas turbines. Energy. 2014;65:91-100. http://dx.doi.org/10.1016/j.energy.2013.11.080.
  • [20] Saidi MH, Abbassi, A. and Ehyaei, M.A. Exergetic optimisation of a PEM fuel cell for domestic hot water heater. 2005Paper no. IGEC-1-022.
  • [21] Saidi MH, Ehyaei MA, Abbasi A. Optimization of a combined heat and power PEFC by exergy analysis. Journal of Power Sources. 2005;143(1-2):179-84. http://dx.doi.org/10.1016/j.jpowsour.2004.11.061.
  • [22] Mozafari A, Ahmadi A, Ehyaei MA. Optimisation of micro gas turbine by exergy, economic and environmental (3E) analysis. International Journal of Exergy. 2010;7(1):1. http://dx.doi.org/10.1504/ijex.2010.029611.
  • [23] Ehyaei MA, Hakimzadeh S, Enadi N, Ahmadi P. Exergy, economic and environment (3E) analysis of absorption chiller inlet air cooler used in gas turbine power plants. International Journal of Energy Research. 2011;36(4):486-98. http://dx.doi.org/10.1002/er.1814.
  • [24] Ashari GR, Ehyaei MA, Mozafari A, Atabi F, Hajidavalloo E, Shalbaf S. Exergy, Economic, and Environmental Analysis of a PEM Fuel Cell Power System to Meet Electrical and Thermal Energy Needs of Residential Buildings. Journal of Fuel Cell Science and Technology. 2012;9(5): http://dx.doi.org/10.1115/1.4006049.
  • [25] Mozafari A, Ehyaei MA. Effects of Regeneration Heat Exchanger on Entropy, Electricity Cost, and Environmental Pollution Produced by Micro Gas Turbine System. International Journal of Green Energy. 2012;9(1):51-70. http://dx.doi.org/10.1080/15435075.2011.617021.
  • [26] Ehyaei MA, Tahani M, Ahmadi P, Esfandiari M. Optimization of fog inlet air cooling system for combined cycle power plants using genetic algorithm. Applied Thermal Engineering. 2015;76:449-61. http://dx.doi.org/10.1016/j.applthermaleng.2014.11.032.
  • [27] Yazdi B, Yazdi B, Ehyaei M, Ahmadi A. Optimization of micro combined heat and power gas turbine by genetic algorithm. Thermal Science. 2015;19(1):207-18. http://dx.doi.org/10.2298/tsci121218141y.
  • [28] Yazdi M, Aliehyaei M, Rosen M. Exergy, Economic and Environmental Analyses of Gas Turbine Inlet Air Cooling with a Heat Pump Using a Novel System Configuration. Sustainability. 2015;7(10):14259-86. http://dx.doi.org/10.3390/su71014259.
  • [29] Shamoushaki M, Ghanatir F, Ehyaei MA, Ahmadi A. Exergy and exergoeconomic analysis and multi-objective optimisation of gas turbine power plant by evolutionary algorithms. Case study: Aliabad Katoul power plant. International Journal of Exergy. 2017;22(3):279. http://dx.doi.org/10.1504/ijex.2017.083160.
  • [30] Shamoushaki M, Ehyaei M. Exergy, economic and environmental (3E) analysis of a gas turbine power plant and optimization by MOPSO algorithm. Thermal Science. 2018;22(6 Part A):2641-51. http://dx.doi.org/10.2298/tsci161011091s.
  • [31] Aliehyaei MA. Optimization Of Micro Gas Turbine By Economic, Exergy And Environment Analysis Using Genetic, Bee Colony And Searching Algorithms. Journal of Thermal Engineering. 2020:117-40. http://dx.doi.org/10.18186/thermal.672054.
  • [32] Abbassi A, Aliehyaei M. Exergy method of optimisation of a wavy plate indirect evaporative cooler. International Journal of Exergy. 2004;1(3):350. http://dx.doi.org/10.1504/ijex.2004.005562.
  • [33] Ghasemian E, Ehyaei MA. Evaluation and optimization of organic Rankine cycle (ORC) with algorithms NSGA-II, MOPSO, and MOEA for eight coolant fluids. International Journal of Energy and Environmental Engineering. 2017;9(1):39-57. http://dx.doi.org/10.1007/s40095-017-0251-7.
  • [34] Kazemi H, Ehyaei MA. Energy, exergy, and economic analysis of a geothermal power plant. Advances In Geo-Energy Research. 2018;2(2):190-209. http://dx.doi.org/10.26804/ager.2018.02.07.
  • [35] Bachmann R NH, Warner J, Kehlhofer R. . Combined-cycle gas & steam turbine power plants. Tulsa, OK: PennWell Publishing Company. 1999 Aug..
  • [36] Cohen H RG, Saravanamuttoo HI. . Gas Turbine Theory, Longman.1996.
  • [37] www.nigc.ir.
  • [38] Boles M CY. An Engineering Approach. New York: McGraw-Hil l Education. 2014.
  • [39] Ehyaei MA, Mozafari A, Alibiglou MH. Exergy, economic & environmental (3E) analysis of inlet fogging for gas turbine power plant. Energy. 2011: http://dx.doi.org/10.1016/j.energy.2011.10.011.
  • [40] von Spakovsky M FC. . The Environomic Analysis and Optimization of a Gas Turbine Cycle with Cogeneration. 1994.
  • [41] Silveira JL, Tuna CE. Thermoeconomic analysis method for optimization of combined heat and power systems. Part I. Progress in Energy and Combustion Science. 2003;29(6):479-85. http://dx.doi.org/10.1016/s0360-1285(03)00041-8.
  • [42] Lecompte S, Huisseune H, van den Broek M, De Schampheleire S, De Paepe M. Part load based thermo-economic optimization of the Organic Rankine Cycle (ORC) applied to a combined heat and power (CHP) system. Applied Energy. 2013;111:871-81. http://dx.doi.org/10.1016/j.apenergy.2013.06.043.
  • [43] Scardigno D, Fanelli E, Viggiano A, Braccio G, Magi V. A genetic optimization of a hybrid organic Rankine plant for solar and low-grade energy sources. Energy. 2015;91:807-15. http://dx.doi.org/10.1016/j.energy.2015.08.066.
  • [44] Cao Y, Gao Y, Zheng Y, Dai Y. Optimum design and thermodynamic analysis of a gas turbine and ORC combined cycle with recuperators. Energy Conversion and Management. 2016;116:32-41. http://dx.doi.org/10.1016/j.enconman.2016.02.073.
  • [45] M. M. An introduction to genetic algorithms. MIT press; 1998.
  • [46] N. S. Review of selection methods in genetic algorithms. International Journal Of Engineering And Computer Science. 2017 Dec 8;6(12):22261-3.
  • [47] https://www.nist.gov/srd/refprop.
  • [48] JH. H. Combined Power Plants: Including Combined Cycle Gas Turbine Plants. ISBN-13. 1975:978-1575241975.
There are 48 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Bardia Eftekhari This is me 0000-0003-3300-5417

Mehdi Aliehyaei This is me 0000-0002-4721-9427

Publication Date March 30, 2020
Submission Date April 12, 2018
Published in Issue Year 2020 Volume: 6 Issue: 2 - Issue Name: Special Issue 11: 10th Eureca Conference Taylor's University Malaysia, Subangiaya, Malaysia

Cite

APA Eftekhari, B., & Aliehyaei, M. (2020). OPTIMIZATION OF A NEW CONFIGURATION OF POWER TRI-GENERATION CYCLE BY THE USE OF A MULTI-PURPOSE GENETIC ALGORITHM. Journal of Thermal Engineering, 6(2), 65-91. https://doi.org/10.18186/thermal.726076
AMA Eftekhari B, Aliehyaei M. OPTIMIZATION OF A NEW CONFIGURATION OF POWER TRI-GENERATION CYCLE BY THE USE OF A MULTI-PURPOSE GENETIC ALGORITHM. Journal of Thermal Engineering. March 2020;6(2):65-91. doi:10.18186/thermal.726076
Chicago Eftekhari, Bardia, and Mehdi Aliehyaei. “OPTIMIZATION OF A NEW CONFIGURATION OF POWER TRI-GENERATION CYCLE BY THE USE OF A MULTI-PURPOSE GENETIC ALGORITHM”. Journal of Thermal Engineering 6, no. 2 (March 2020): 65-91. https://doi.org/10.18186/thermal.726076.
EndNote Eftekhari B, Aliehyaei M (March 1, 2020) OPTIMIZATION OF A NEW CONFIGURATION OF POWER TRI-GENERATION CYCLE BY THE USE OF A MULTI-PURPOSE GENETIC ALGORITHM. Journal of Thermal Engineering 6 2 65–91.
IEEE B. Eftekhari and M. Aliehyaei, “OPTIMIZATION OF A NEW CONFIGURATION OF POWER TRI-GENERATION CYCLE BY THE USE OF A MULTI-PURPOSE GENETIC ALGORITHM”, Journal of Thermal Engineering, vol. 6, no. 2, pp. 65–91, 2020, doi: 10.18186/thermal.726076.
ISNAD Eftekhari, Bardia - Aliehyaei, Mehdi. “OPTIMIZATION OF A NEW CONFIGURATION OF POWER TRI-GENERATION CYCLE BY THE USE OF A MULTI-PURPOSE GENETIC ALGORITHM”. Journal of Thermal Engineering 6/2 (March 2020), 65-91. https://doi.org/10.18186/thermal.726076.
JAMA Eftekhari B, Aliehyaei M. OPTIMIZATION OF A NEW CONFIGURATION OF POWER TRI-GENERATION CYCLE BY THE USE OF A MULTI-PURPOSE GENETIC ALGORITHM. Journal of Thermal Engineering. 2020;6:65–91.
MLA Eftekhari, Bardia and Mehdi Aliehyaei. “OPTIMIZATION OF A NEW CONFIGURATION OF POWER TRI-GENERATION CYCLE BY THE USE OF A MULTI-PURPOSE GENETIC ALGORITHM”. Journal of Thermal Engineering, vol. 6, no. 2, 2020, pp. 65-91, doi:10.18186/thermal.726076.
Vancouver Eftekhari B, Aliehyaei M. OPTIMIZATION OF A NEW CONFIGURATION OF POWER TRI-GENERATION CYCLE BY THE USE OF A MULTI-PURPOSE GENETIC ALGORITHM. Journal of Thermal Engineering. 2020;6(2):65-91.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK http://eds.yildiz.edu.tr/journal-of-thermal-engineering