• DocumentCode
    3445281
  • Title

    Decision support system for biomass energy exploitation in smart grid planning

  • Author

    Damiano, A. ; Gatto, G. ; Marongiu, I.

  • Author_Institution
    DIEE, Univ. di Cagliari, Cagliari, Italy
  • fYear
    2010
  • fDate
    14-16 June 2010
  • Firstpage
    1183
  • Lastpage
    1188
  • Abstract
    In this paper a Decision Support System (DSS) algorithm based on a multi-criteria analysis which allows us to determine the most suitable biomass energy basins for smart grid development is proposed. The energy management and planning DSS algorithm is based on dedicated GIS functionalities which have allowed an easier mathematical management of spatial data and an integration of the database with other external datasets. In order to evaluate the influence of local condition on planning process, all geo-referenced information about the biomass distribution, electric network and electric loads distribution, road, orography and other social, economic and environmental information have been used. The algorithm has been applied to determine the biomass energy basins on an Italian region: Sardinia. The economic analysis of energetic basins, determined by proposed DDS algorithm, have confirmed the goodness of the methodology adopted.
  • Keywords
    bioenergy conversion; decision support systems; energy management systems; geographic information systems; power engineering computing; power system economics; power system management; power system planning; smart power grids; Italy; ass distribution; biomass energy exploitation; decision support system; dedicated GIS functionalities; economic analysis; electric load distribution; energy management DSS algorithm; georeferenced information; mathematical management; multicriteria analysis; orography; planning DSS algorithm; smart grid planning; Algorithm design and analysis; Biomass; Decision support systems; Energy management; Environmental economics; Geographic Information Systems; Power generation economics; Process planning; Smart grids; Spatial databases; Biomass; Energy planning; Renewable Energy; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Electrical Drives Automation and Motion (SPEEDAM), 2010 International Symposium on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-4986-6
  • Electronic_ISBN
    978-1-4244-7919-1
  • Type

    conf

  • DOI
    10.1109/SPEEDAM.2010.5542256
  • Filename
    5542256