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Sizing the prime mover of a residential micro-combined cooling heating and power (CCHP) system by multi-criteria sizing method for different climates

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  • Ebrahimi, Masood
  • Keshavarz, Ali

Abstract

In the present study, a multi-criteria sizing function (MCSF) is proposed for designing the optimum size and operating strategy of the prime mover of a residential micro-combined cooling heating and power (CCHP) system. The CCHP prepares the electrical, thermal, cooling, and domestic hot water demands of the same building in five different climates in Iran. The MCSF integrates fuel energy saving ratio (FESR) and exergy efficiency as the thermodynamical parameters, net present value, internal rate of return and payback period for the economical criteria, and CO2, CO and NOx reduction for the environmental evaluations. Analytical hierarchy process is used to weigh each criterion with respect to others. The engine proposed by MCSF results in considerable fuel saving and pollution reduction and a payback period of about 6 years for the 5 climates. In addition, the best strategy according to the engine size is determined for every climate.

Suggested Citation

  • Ebrahimi, Masood & Keshavarz, Ali, 2013. "Sizing the prime mover of a residential micro-combined cooling heating and power (CCHP) system by multi-criteria sizing method for different climates," Energy, Elsevier, vol. 54(C), pages 291-301.
    • Handle: RePEc:eee:energy:v:54:y:2013:i:c:p:291-301
    DOI: 10.1016/j.energy.2013.01.061
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    16. Murugan, S. & Horák, Bohumil, 2016. "A review of micro combined heat and power systems for residential applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 144-162.
    17. Jabari, Farkhondeh & Nojavan, Sayyad & Mohammadi Ivatloo, Behnam, 2016. "Designing and optimizing a novel advanced adiabatic compressed air energy storage and air source heat pump based μ-Combined Cooling, heating and power system," Energy, Elsevier, vol. 116(P1), pages 64-77.
    18. Cho, Heejin & Smith, Amanda D. & Mago, Pedro, 2014. "Combined cooling, heating and power: A review of performance improvement and optimization," Applied Energy, Elsevier, vol. 136(C), pages 168-185.
    19. Gibson, Chanel Ann & Meybodi, Mehdi Aghaei & Behnia, Masud, 2013. "Optimisation and selection of a steam turbine for a large scale industrial CHP (combined heat and power) system under Australia's carbon price," Energy, Elsevier, vol. 61(C), pages 291-307.
    20. Ershadi, Hamed & Karimipour, Arash, 2018. "Present a multi-criteria modeling and optimization (energy, economic and environmental) approach of industrial combined cooling heating and power (CCHP) generation systems using the genetic algorithm,," Energy, Elsevier, vol. 149(C), pages 286-295.
    21. De Boeck, L. & Verbeke, S. & Audenaert, A. & De Mesmaeker, L., 2015. "Improving the energy performance of residential buildings: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 960-975.
    22. Roselli, C. & Marrasso, E. & Tariello, F. & Sasso, M., 2020. "How different power grid efficiency scenarios affect the energy and environmental feasibility of a polygeneration system," Energy, Elsevier, vol. 201(C).
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