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Optimization model for medium term natural gas commitment

dc.contributor.authorNogueira, Teresa
dc.contributor.authorVale, Zita
dc.contributor.authorCardoso, José
dc.date.accessioned2013-05-03T11:57:02Z
dc.date.available2013-05-03T11:57:02Z
dc.date.issued2008
dc.date.updated2013-04-12T14:33:50Z
dc.description.abstractIn this paper we study the optimal natural gas commitment for a known demand scenario. This study implies the best location of GSUs to supply all demands and the optimal allocation from sources to gas loads, through an appropriate transportation mode, in order to minimize total system costs. Our emphasis is on the formulation and use of a suitable optimization model, reflecting real-world operations and the constraints of natural gas systems. The mathematical model is based on a Lagrangean heuristic, using the Lagrangean relaxation, an efficient approach to solve the problem. Computational results are presented for Iberian and American natural gas systems, geographically organized in 65 and 88 load nodes, respectively. The location model results, supported by the computational application GasView, show the optimal location and allocation solution, system total costs and suggest a suitable gas transportation mode, presented in both numerical and graphic supports.por
dc.identifierDOI 10.1109/EEM.2008.4579070
dc.identifier.isbn978-1-4244-1743-8
dc.identifier.urihttp://hdl.handle.net/10400.22/1512
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4579070por
dc.subjectGas Supply Units - GSUspor
dc.subjectP-median problempor
dc.subjectLagrangean heuristicpor
dc.subjectVirtual pipelinespor
dc.subjectLocation modelpor
dc.titleOptimization model for medium term natural gas commitmentpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboa, Portugal, 2008por
oaire.citation.title5th International Conference on the European Electricity Market (EEM 2008)por
person.familyNameVale
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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