• DocumentCode
    157659
  • Title

    Economic generation mix for commercial building

  • Author

    Nayak, Ashwini Kumar ; Sarangi, Parthasarathi ; Santra, Rohit ; Kotini, Anil Kumar

  • Author_Institution
    Dept. of Electr. Eng., Nat. Inst. of Sci. & Technol., Berhampur, India
  • fYear
    2014
  • fDate
    10-12 May 2014
  • Firstpage
    249
  • Lastpage
    253
  • Abstract
    The growing population has added a burden to the existing power generation station. So what if the demand by the people exceeds the generation capability. The consequence is power deficiency. The world has to remain in dark weighing down the economy of the country. The alternative solution for this is generation mix. Now a day´s commercial building is increasing at a greater pace. So in addition to generation mix we are thinking of making it economic. Economic is in the sense of reducing the grid dependency of a commercial building. Through this the cost incurred by a commercial building can be minimized to a greater extent, which can be utilized for some additional utilities. Generation mix includes the ultimate energy coming from sun, wind, tidal, geo-thermal, bio-gas, bio-mass. In this paper, aims at encouraging the use of renewable energy sources such as Wind and Solar, available with the commercial building along with grid connection. A case study of National Institute of Science & Technology (NIST), Berhampur, Odisha, has been considered to validate the efficacy of the proposed methodology and the result is estimated mathematically and verified through the renewable Simulink Software Homer V 2.81 incorporating present load and forecasted load for 4 years of planning horizon.
  • Keywords
    buildings (structures); load forecasting; power generation planning; solar power; wind power; Simulink Software Homer V 2.81; commercial building; economic generation mix; forecasted load; grid connection; grid dependency; power deficiency; power generation station; renewable energy sources; solar energy; wind energy; Buildings; Computational modeling; Economics; Load modeling; Mathematical model; Power generation; Renewable energy sources; distributed energy; generation mix; load demand; load forecasting; tariff;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2014 14th International Conference on
  • Conference_Location
    Krakow
  • Print_ISBN
    978-1-4799-4661-7
  • Type

    conf

  • DOI
    10.1109/EEEIC.2014.6835873
  • Filename
    6835873