• DocumentCode
    3397339
  • Title

    End-Use Electricity Demand Profile Analysis Using MESSAGE Modeling Approach

  • Author

    Mati, A.A. ; Ajuji, A.S. ; Bajoga, B.G.

  • Author_Institution
    Centre for Energy Res. & Training, Ahmadu Bello Univ., Zaria, Nigeria
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Demand profile analysis is very crucial in the evolution of intelligent demand side management and power dispatch planning practices. This is so, because not only a prior knowledge of the demand fluctuation is necessary, but also the sector of the demand causing the fluctuations. In this paper, a detailed demand profile analysis of Nigeria´s annual electricity demand is presented using systems optimization approach of MESSAGE model. Since the MESSAGE load evaluation screen does not incorporate a module for the evaluation of peak to offpeak demand ratio, an extension of the model is proposed for this evaluation. The simulation results for the services, industrial and residential demand subsectors as well as the total demand were within expected pattern, with the services sector presenting the highest peak to off-peak demand ratio of 2.137.
  • Keywords
    load forecasting; optimisation; power generation dispatch; MESSAGE modeling approach; Nigeria annual electricity demand; demand fluctuation; end-use electricity intelligent demand profile analysis; industrial demand subsector; power dispatch planning; residential demand subsector; systems optimization approach; Analytical models; Computational modeling; Educational institutions; Electricity; Load modeling; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307570
  • Filename
    6307570