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Economic evaluation for adoption of cogeneration system

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  • Oh, Si-Doek
  • Oh, Hoo-Suk
  • Kwak, Ho-Young

Abstract

An optimal planning for gas turbine cogeneration system was applied to find whether or not the adoption of the system to an office building or hotel in Seoul, Korea is profitable. The planning problem considered in this study is to determine the optimal configuration of the system equipments and optimal operational policy of the system when the annual energy demands of electric power, heat and cooling are given a priori. The optimal configuration of the system equipments has been determined based on annual cost method with proper choice of representative energy demand patterns obtained for the building and hotel in a 1-year period. A mixed-integer linear programming and the branch and bound algorithm have been used to obtain the optimal solution. The planning method employed here may be applied to making decision on the adoption of the cogeneration plant to any specific office building or hotel.

Suggested Citation

  • Oh, Si-Doek & Oh, Hoo-Suk & Kwak, Ho-Young, 2007. "Economic evaluation for adoption of cogeneration system," Applied Energy, Elsevier, vol. 84(3), pages 266-278, March.
    • Handle: RePEc:eee:appene:v:84:y:2007:i:3:p:266-278
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    References listed on IDEAS

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    1. Takahashi, Kazuki & Ishizaka, Tadashi, 1998. "Application of information theory for the analysis of cogeneration-system performance," Applied Energy, Elsevier, vol. 61(3), pages 147-162, November.
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    Citations

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    Cited by:

    1. Carpaneto, Enrico & Chicco, Gianfranco & Mancarella, Pierluigi & Russo, Angela, 2011. "Cogeneration planning under uncertainty: Part I: Multiple time frame approach," Applied Energy, Elsevier, vol. 88(4), pages 1059-1067, April.
    2. Shnaiderman, Matan & Keren, Nir, 2014. "Cogeneration versus natural gas steam boiler: A techno-economic model," Applied Energy, Elsevier, vol. 131(C), pages 128-138.
    3. Matelli, José Alexandre & Bazzo, Edson & da Silva, Jonny Carlos, 2011. "Development of a case-based reasoning prototype for cogeneration plant design," Applied Energy, Elsevier, vol. 88(9), pages 3030-3041.
    4. Lai, Sau Man & Hui, Chi Wai, 2009. "Feasibility and flexibility for a trigeneration system," Energy, Elsevier, vol. 34(10), pages 1693-1704.
    5. Oh, Si-Doek & Kim, Ki-Young & Oh, Shuk-Bum & Kwak, Ho-Young, 2012. "Optimal operation of a 1-kW PEMFC-based CHP system for residential applications," Applied Energy, Elsevier, vol. 95(C), pages 93-101.
    6. Mujeebu, M.A. & Jayaraj, S. & Ashok, S. & Abdullah, M.Z. & Khalil, M., 2009. "Feasibility study of cogeneration in a plywood industry with power export to grid," Applied Energy, Elsevier, vol. 86(5), pages 657-662, May.
    7. Pruitt, Kristopher A. & Braun, Robert J. & Newman, Alexandra M., 2013. "Establishing conditions for the economic viability of fuel cell-based, combined heat and power distributed generation systems," Applied Energy, Elsevier, vol. 111(C), pages 904-920.
    8. Pruitt, Kristopher A. & Braun, Robert J. & Newman, Alexandra M., 2013. "Evaluating shortfalls in mixed-integer programming approaches for the optimal design and dispatch of distributed generation systems," Applied Energy, Elsevier, vol. 102(C), pages 386-398.
    9. Cho, Woojin & Kim, Janghyun & Lee, Kwan-Soo, 2012. "Combined heat and power unit capacity for high-heat to power ratio buildings without selling excess electricity to the grid," Energy, Elsevier, vol. 38(1), pages 354-361.
    10. Lai, Sau Man & Hui, Chi Wai, 2010. "Integration of trigeneration system and thermal storage under demand uncertainties," Applied Energy, Elsevier, vol. 87(9), pages 2868-2880, September.
    11. Carvalho, Monica & Serra, Luis M. & Lozano, Miguel A., 2011. "Geographic evaluation of trigeneration systems in the tertiary sector. Effect of climatic and electricity supply conditions," Energy, Elsevier, vol. 36(4), pages 1931-1939.

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