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Resource-task network formulations for industrial demand side management of a steel plant

dc.contributor.authorCastro, Pedro
dc.contributor.authorSun, Lige
dc.contributor.authorHarjunkoski, Iiro
dc.date.accessioned2014-04-28T14:39:46Z
dc.date.available2014-04-28T14:39:46Z
dc.date.issued2013
dc.description.abstractIn today’s energy markets, there is a growing effort toward the alignment of the industrial sector and the power grid for the sake of efficient energy distribution and consumption. In this paper, the resource-task network is used to provide a generic modeling framework for production scheduling under energy constraints. Three alternative process models for the energy-intensive melt shop of a steel plant are proposed and linked to a discrete-time formulation. The results show a trade-off between accurate representation of problem data and computational performance. By keeping track of the total energy and power consumption through time, we study the impact of fluctuating energy prices on the scheduling of operations and the economic benefits that can be obtained from the plant’s participation in the price- and incentive-based industrial demand side management programs.por
dc.identifier.citationCastro, P.M.; Sun, I.; Harjunkoski, I. Resource-task network formulations for industrial demand side management of a steel plant. In: Industrial and Engineering Chemistry Research, 2013, Vol. 52, p. 13046-13058por
dc.identifier.issn0888-5885
dc.identifier.urihttp://hdl.handle.net/10400.9/2448
dc.language.isoengpor
dc.publisherACS Publicationspor
dc.relation.publisherversionhttp://dx.doi.org/10.1021/ie401044qpor
dc.subjectEnergy marketspor
dc.subjectEnergy optimizationpor
dc.subjectComputer simulationpor
dc.titleResource-task network formulations for industrial demand side management of a steel plantpor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage13058por
oaire.citation.startPage13046por
oaire.citation.titleIndustrial and Engineering Chemistry Researchpor
oaire.citation.volume52por
rcaap.rightsopenAccesspor
rcaap.typearticlepor

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