Exergy and Exergoeconomic Analysis and Optimization of the Cogeneration Cycle Under Solar Radiation Dynamic Model Using Genetic Algorithm

  • Kaveh HanifiEmail author
  • Kourosh Javaherdeh
  • Mortaza Yari
Part of the Green Energy and Technology book series (GREEN)


The performance of a CO2 transcritical hydrogen production/refrigeration cogeneration cycle is investigated and optimized with an economic approach. Exergy and exergoeconomic models are developed in order to investigate the thermodynamic performance of the cycle and assess the unit cost of the cycle products. In this study, hydrogen exergy efficiency optimal design (HEEOD), refrigeration power optimal design (RPOD), and cost optimal design (COD) are considered for analysis and optimization. According to recent parametric studies, boiler and turbine inlet temperature, turbine inlet pressure, condensation, and LNG inlet temperature significantly affect the unit cost of products. The results show that the sum of the unit cost of products (SUCP) is obtained through exergoeconomic optimization; in the three cases of HEEOD, RPOD, and COD, it is, respectively, 24.2%, 24%, and 32.7% lower than the base case. It was observed that the SUCP is decreased by 8.5% when hydrogen production rate is decreased from 1.811 lit/s in HEEOD case to 1.756 lit/s in COD case. The evaluation of exergy destruction, for each component of system in three cases of optimization, demonstrates in which the condenser has the highest exergy destruction due to high-temperature difference; therefore, the exergy destruction of condenser in COD case is the lowest among the three other states. The results indicate the total exergy destruction and the investment cost rates in the RPOD case are higher than any other cases.


Exergoeconomic CO2 transcritical Cogeneration Optimization Genetic algorithm 


  1. Ahmadi, P., Dincer, I.: Thermodynamic and exergoenvironmental analyses, and multi-objective optimization of a gas turbine power plant. Appl. Therm. Eng. 31, 2529–2540 (2011)CrossRefGoogle Scholar
  2. Ahmadi, P., Sanaye, S.: Optimization of combined cycle power plant using sequential quadratic programming. In: Procedure of ASME summer heat transfer conference, HT2008–56129, Florida 2008Google Scholar
  3. 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, 1540–1549 (2011a)CrossRefGoogle Scholar
  4. Ahmadi, P., Dincer, I., Rosen, M.A.: Exergy, Exergoeconomic and environmental analysis and evolutionary algorithm based multi-objective optimization of combined cycle power plants. Energy. 36, 5886–5898 (2011b)CrossRefGoogle Scholar
  5. Al-Sulaiman, F.A., Dincer, I., Hamdullahpur, F.: Thermoeconomic optimization of three trigeneration systems using organic Rankine cycle: part ІІ-applications. Energy Convers. Manag. 69, 209–216 (2013)CrossRefGoogle Scholar
  6. Ameri, M., Ahmadi, P.: The study of ambient temperature effects on exergy losses of a heat recovery steam generator. In: Challenges of Power Engineering and Environment. Volume 1, pp. 55–60. Springer, Berlin, Heidelberg, Germany (2007)CrossRefGoogle Scholar
  7. Balli, O., Aras, H.: Energetic and exergetic performance evolution of a combined heat and power system with the micro gas turbine (MGTCHP). Int. J. Energy Res. 31(14), 1425–1440 (2007)CrossRefGoogle Scholar
  8. Beckman, E.J.: Supercritical and near-critical CO2 in green chemical synthesis and processing. J. Supercrit. Fluids. 28(2), 121–191 (2004)CrossRefGoogle Scholar
  9. Bejan, A., Tsatsaronis, G., Moran, M.: Thermal Design and Optimization. Wiley, New York (1996)zbMATHGoogle Scholar
  10. Bejan, A.: Advanced Engineering Thermodynamics, 2nd edn. Wiley, New York, NY, USA (1997)Google Scholar
  11. Charbonneau, P.: Release Notes for PIKAIA 1.2. NCAR Technical Note 451+STR. National Center for Atmospheric Research, Boulder (1996)Google Scholar
  12. Charbonneau, P., Knapp, B.: A user’s Guide to PIKAIA 1.0. NCAR Technical Note 418+IA. National Center for Atmospheric Research, Boulder (1996)Google Scholar
  13. Chen, Y., Lundqvist, P., Johnsson, A., Platell, P.: A comparative study of the carbon dioxide to transcritical power cycle compared with an organic Rankine cycle with R123 as a working fluid in waste heat recovery. Appl. Therm. Eng. 26(17), 2142–2147 (2006)CrossRefGoogle Scholar
  14. Delgado-Torres, A.M., Garcia-Rodriguez, L.: Analysis and optimization of the low-temperature solar Organic Rankine Cycle (ORC). Energy Convers. Manag. 51(12), 2846–2856 (2010)CrossRefGoogle Scholar
  15. Dincer, I., Al-Muslim, H.: Thermodynamic analysis of reheats cycle steam power plants. Int. J. Energy Res. 25, 727–739 (2001)CrossRefGoogle Scholar
  16. Dincer, I., Rosen, M.A.: Exegy: Energy, Environment and Sustainable Development. Elsevier, Oxford (2007)Google Scholar
  17. Duffie, J.A., Beckman, W.A.: Solar Engineering and Thermal Processes, Third edn. Wiley, New York (2006)Google Scholar
  18. Gebreslassie, B.H., Guillen-Gosalbez, G., Jimenez, L., Boer, D.: Design of environmentally conscious absorption cooling systems via multi-objective optimization and life cycle assessment. Appl. Energy. 86, 1712–1722 (2009)CrossRefGoogle Scholar
  19. Li, S., Dai, Y.: Thermo-economic comparison of kalian and CO2 transcritical power cycle for law temperature geothermal sources in china. Appl. Therm. Eng. 70, 139–152 (2014)CrossRefGoogle Scholar
  20. Li, M., Wang, J., Li, S., Wang, X., He, W., Dai, Y.: Thermo-economic analysis and comparison of a CO2 transcritical power cycle and an organic Rankine cycle. Geothermics. 50, 101–111 (2014)CrossRefGoogle Scholar
  21. Misra, R.D., Sahoo, P.K., Gupta, A.: Thermoeconomic optimization of a single effect water/LiBr vapor absorption refrigeration system. Int. J. Refrig. 26, 158–169 (2003)CrossRefGoogle Scholar
  22. Misra, R.D., Sahoo, P.K., Gupta, A.: Thermoeconomic evaluation and optimization of an aqua-ammonia vapor-absorption refrigeration system. Int. J. Refrig. 29, 47–59 (2006)CrossRefGoogle Scholar
  23. Roosen, P., Uhlenbruck, S., Lucas, K.: Pareto optimization of a combined cycle power system as a decision support tool for trading off investment vs. operating costs. Int. J. Therm. Sci. 42, 553–560 (2003)CrossRefGoogle Scholar
  24. Rosen, M.A., Dincer, I.: Exergy-cost energy-mass analysis of thermal systems and processes. Energy Convers. Manag. 44(10), 1633–1651 (2003)CrossRefGoogle Scholar
  25. Sahoo, P.K.: Exergoeconomic analysis and optimization of a cogeneration system using evolutionary programming. Appl. Therm. Eng. 13(28), 1580–1588 (2008)CrossRefGoogle Scholar
  26. Sanaye, S., Shirazi, A.: Thermo-economic optimization of an ice thermal storage system for air-conditioning applications. Energ. Building. 60, 100–109 (2013)CrossRefGoogle Scholar
  27. Sayyaadi, H., Sabzaligol, T.: Exergoeconomic optimization of a 1000MW light water reactor power generation system. Int. J. Energy Res. 33(4), 378–395 (2009)CrossRefGoogle Scholar
  28. Song, Y., Wang, J., Dai, Y., Zhoa, E.: Thermodynamic analysis of a transcritical CO2 power cycle driven by solar energy with liquefied natural gas as its heat sink. Appl. Energy. 92, 194–203 (2012)CrossRefGoogle Scholar
  29. Sun, Z., Wang, J., Dai, Y., Wang, J.: Exergy analysis and optimization of a hydrogen production process by solar-liquefied natural gas hybrid driven transcritical CO2 power cycle. Int. J. Hydrogen. 37, 18731–18739 (2012)CrossRefGoogle Scholar
  30. Tsatsaronis, G.: A review of exergoeconomic methodologies. In: Moran, M.J., Sciubba, E. (eds.) Second Law of Analysis of Thermal Systems, pp. 81–87. American Society of Mechanical Engineering, New York (1987)Google Scholar
  31. Tsatsaronis, G., Lin, I., Pisa, J.: Exergy costing in exergoeconomics. J. Energy Resour. Technol. 115, 9–16 (1993)CrossRefGoogle Scholar
  32. Vieira, L.S., Donatelli, J.L., Cruz, M.E.: Exergoeconomic improvement of a complex cogeneration system integrated with a professional process simulator. Energy Convers. Manag. 50, 1955–1967 (2009)CrossRefGoogle Scholar
  33. Wang, M., Wang, J., Zhoa, Y., Zhoa, P., Dai, Y.: Thermodynamic analysis and optimization of a solar-driven regenerative organic Rankine cycle (ORC) based on flat-plate solar collectors. Appl. Therm. Eng. 50, 816–825 (2013)CrossRefGoogle Scholar
  34. Zare, V., Mahmoudi, S.M.S., Yari, M., Amidpour, M.: Thermoeconomic analysis and optimization of an ammonia-water power/cooling cogeneration cycle. Energy. 47, 271–283 (2012)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Kaveh Hanifi
    • 1
    Email author
  • Kourosh Javaherdeh
    • 2
  • Mortaza Yari
    • 3
  1. 1.Department of Mechanical EngineeringLashtenesha-Zibakenar Branch, Islamic Azad UniversityLashteneshaIran
  2. 2.Departments of Mechanical EngineeringMechanical Engineering Faculty, Guilan UniversityRashtIran
  3. 3.Department of Mechanical EngineeringMechanical Engineering Faculty, Tabriz UniversityTabrizIran

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