• DocumentCode
    165683
  • Title

    Optimal sizing of PV system and energy management in Buildings

  • Author

    Haddad, Salim ; Metatla, Abderrezak ; Benzahioul, Samia

  • Author_Institution
    Fac. of Technol., Univ. 20 Aout 1955, Skikda, Algeria
  • fYear
    2014
  • fDate
    25-27 March 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The Photovoltaic is the future´s solution for the electrical energy production. This is why; it deserves to be a little more exploited than now. It is an energy which allows an autonomous production of electricity, an economy of fossil fuels and thus the reduction of gas emissions as well as the reduction of the atmospheric pollution. Building is considered as encouraging potential of energy saving and a lot of researches have been developed in this topic. This paper focuses on Energy Management System for the optimal sizing of sources and for the optimal plan of energy in Mechanics Engineering Department Building at Skikda University. Determining the optimal area of a PV installation, the optimal battery installation size, and the minimum power to be contracted with the electricity provider are developed. This optimal sizing allows obtaining the return of the investment costs of the installation and gains from selling the exceeding electricity, which is locally produced.
  • Keywords
    building management systems; energy management systems; photovoltaic power systems; PV installation; PV system; atmospheric pollution reduction; autonomous electricity production; building energy management; electrical energy production; fossil fuels; gas emission reduction; investment costs; optimal battery installation size; optimal sizing; Batteries; Floors; Inverters; Photovoltaic systems; Production; Energy management; optimal sizing; positive energy building; renewable energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ecological Vehicles and Renewable Energies (EVER), 2014 Ninth International Conference on
  • Conference_Location
    Monte-Carlo
  • Print_ISBN
    978-1-4799-3786-8
  • Type

    conf

  • DOI
    10.1109/EVER.2014.6844071
  • Filename
    6844071