Assessment of biomass potential for power production: A GIS based method

Voivontas, D; Assimacopoulos, D; Koukios, EG

dc.contributor.author	Voivontas, D	en
dc.contributor.author	Assimacopoulos, D	en
dc.contributor.author	Koukios, EG	en
dc.date.accessioned	2014-03-01T01:16:07Z
dc.date.available	2014-03-01T01:16:07Z
dc.date.issued	2001	en
dc.identifier.issn	0961-9534	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13921
dc.subject	Agriculture residues	en
dc.subject	Biomass energy potential	en
dc.subject	Biomass power plants	en
dc.subject	GIS	en
dc.subject.classification	Agricultural Engineering	en
dc.subject.classification	Biotechnology & Applied Microbiology	en
dc.subject.classification	Energy & Fuels	en
dc.subject.other	bioconversion	en
dc.subject.other	bioenergy	en
dc.subject.other	biomass production	en
dc.subject.other	decision support system	en
dc.subject.other	electric power plant	en
dc.subject.other	energy production	en
dc.subject.other	geographic information system	en
dc.subject.other	Greece	en
dc.subject.other	Costs	en
dc.subject.other	Decision making	en
dc.subject.other	Decision support systems	en
dc.subject.other	Geographic information systems	en
dc.subject.other	Electricity production costs	en
dc.subject.other	Biomass	en
dc.subject.other	biomass	en
dc.subject.other	decision making	en
dc.subject.other	decision support system	en
dc.subject.other	GIS	en
dc.subject.other	Greece	en
dc.title	Assessment of biomass potential for power production: A GIS based method	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0961-9534(00)00070-2	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0961-9534(00)00070-2	en
heal.language	English	en
heal.publicationDate	2001	en
heal.abstract	A method is presented, which estimates the potential for power production from agriculture residues. A GIS decision support system (DSS) has been developed, which implements the method and provides the tools to identify the geographic distribution of the economically exploited biomass potential. The procedure introduces a four level analysis to determine the theoretical, available, technological and economically exploitable potential. The DSS handles all possible restrictions and candidate power plants are identified using an iterative procedure that locates bioenergy units and establishes the needed cultivated area for biomass collection. Electricity production cost is used as a criterion in the identification of the sites of economically exploited biomass potential. The island of Crete is used as an example of the decision-making analysis. A significant biomass potential exists that could be economically and competitively harvested. The main parameters that affect the location and number of bioenergy conversion facilities are plant capacity and spatial distribution of the available biomass potential. © 2001 Elsevier Science Ltd.A method is presented, which estimates the potential for power production from agriculture residues. A GIS decision support system (DSS) has been developed, which implements the method and provides the tools to identify the geographic distribution of the economically exploited biomass potential. The procedure introduces a four level analysis to determine the theoretical, available, technological and economically exploitable potential. The DSS handles all possible restrictions and candidate power plants are identified using an iterative procedure that locates bioenergy units and establishes the needed cultivated area for biomass collection. Electricity production cost is used as a criterion in the identification of the sites of economically exploited biomass potential. The island of Crete is used as an example of the decision-making analysis. A significant biomass potential exists that could be economically and competitively harvested. The main parameters that affect the location and number of bioenergy conversion facilities are plant capacity and spatial distribution of the available biomass potential. © 2001 Elsevier Science Ltd.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Biomass and Bioenergy	en
dc.identifier.doi	10.1016/S0961-9534(00)00070-2	en
dc.identifier.isi	ISI:000167375600003	en
dc.identifier.volume	20	en
dc.identifier.issue	2	en
dc.identifier.spage	101	en
dc.identifier.epage	112	en