Resource-task network formulations for industrial demand side management of a steel plant
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.9/2448 |
Resumo: | In 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. |
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Resource-task network formulations for industrial demand side management of a steel plantEnergy marketsEnergy optimizationComputer simulationIn 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.ACS PublicationsRepositório do LNEGCastro, PedroSun, LigeHarjunkoski, Iiro2014-04-28T14:39:46Z2013-01-01T00:00:00Z2013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.9/2448engCastro, 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. 13046-130580888-5885info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-06T12:27:28Zoai:repositorio.lneg.pt:10400.9/2448Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:35:20.571814Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Resource-task network formulations for industrial demand side management of a steel plant |
title |
Resource-task network formulations for industrial demand side management of a steel plant |
spellingShingle |
Resource-task network formulations for industrial demand side management of a steel plant Castro, Pedro Energy markets Energy optimization Computer simulation |
title_short |
Resource-task network formulations for industrial demand side management of a steel plant |
title_full |
Resource-task network formulations for industrial demand side management of a steel plant |
title_fullStr |
Resource-task network formulations for industrial demand side management of a steel plant |
title_full_unstemmed |
Resource-task network formulations for industrial demand side management of a steel plant |
title_sort |
Resource-task network formulations for industrial demand side management of a steel plant |
author |
Castro, Pedro |
author_facet |
Castro, Pedro Sun, Lige Harjunkoski, Iiro |
author_role |
author |
author2 |
Sun, Lige Harjunkoski, Iiro |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório do LNEG |
dc.contributor.author.fl_str_mv |
Castro, Pedro Sun, Lige Harjunkoski, Iiro |
dc.subject.por.fl_str_mv |
Energy markets Energy optimization Computer simulation |
topic |
Energy markets Energy optimization Computer simulation |
description |
In 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. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-01-01T00:00:00Z 2013-01-01T00:00:00Z 2014-04-28T14:39:46Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.9/2448 |
url |
http://hdl.handle.net/10400.9/2448 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Castro, 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. 13046-13058 0888-5885 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
ACS Publications |
publisher.none.fl_str_mv |
ACS Publications |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799130218743463936 |