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
Link To Document :
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