Novel MILP Scheduling Model for Power-Intensive Processes under Time-Sensitive Electricity Prices

Autores
Basán, Natalia Paola; Grossmann, Ignacio E.; Gopalakrishnan, Ajit; Lotero, Irene; Mendez, Carlos Alberto
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work, a mixed-integer linear programming (MILP) model is presented based on a discrete-time scheduling formulation that allows modeling and optimizing operational decisions for processes working under time-sensitive energy prices. The main goal is to find an optimal production schedule, over a given time horizon, that satisfies product demand while minimizing total energy cost. This novel formulation, based on a new concept to model the transitions between alternative operating modes, is very efficient and robust. To illustrate the new capabilities of the model, a comprehensive comparison is performed with a previous alternative model. The model is also used to efficiently solve a real-world industrial case study. The obtained results show optimal solutions for the proposed methodology with modest computational effort.
Fil: Basán, Natalia Paola. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Grossmann, Ignacio E.. University of Carnegie Mellon; Estados Unidos
Fil: Gopalakrishnan, Ajit. Air Liquide;
Fil: Lotero, Irene. Air Liquide;
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Materia
Scheduling
MILP model
continuous power-intensive processes
energy consumption cost
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/86918
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/86918
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Novel MILP Scheduling Model for Power-Intensive Processes under Time-Sensitive Electricity PricesBasán, Natalia PaolaGrossmann, Ignacio E.Gopalakrishnan, AjitLotero, IreneMendez, Carlos AlbertoSchedulingMILP modelcontinuous power-intensive processesenergy consumption costhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2In this work, a mixed-integer linear programming (MILP) model is presented based on a discrete-time scheduling formulation that allows modeling and optimizing operational decisions for processes working under time-sensitive energy prices. The main goal is to find an optimal production schedule, over a given time horizon, that satisfies product demand while minimizing total energy cost. This novel formulation, based on a new concept to model the transitions between alternative operating modes, is very efficient and robust. To illustrate the new capabilities of the model, a comprehensive comparison is performed with a previous alternative model. The model is also used to efficiently solve a real-world industrial case study. The obtained results show optimal solutions for the proposed methodology with modest computational effort.Fil: Basán, Natalia Paola. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Grossmann, Ignacio E.. University of Carnegie Mellon; Estados UnidosFil: Gopalakrishnan, Ajit. Air Liquide;Fil: Lotero, Irene. Air Liquide;Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaAmerican Chemical Society2018-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/86918Basán, Natalia Paola; Grossmann, Ignacio E.; Gopalakrishnan, Ajit; Lotero, Irene; Mendez, Carlos Alberto; Novel MILP Scheduling Model for Power-Intensive Processes under Time-Sensitive Electricity Prices; American Chemical Society; Industrial & Engineering Chemical Research; 57; 5; 1-2018; 1581-15920888-5885CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/acs.iecr.7b04435info:eu-repo/semantics/altIdentifier/doi/10.1021/acs.iecr.7b04435info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:45:20Zoai:ri.conicet.gov.ar:11336/86918instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:45:20.708CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Novel MILP Scheduling Model for Power-Intensive Processes under Time-Sensitive Electricity Prices
title Novel MILP Scheduling Model for Power-Intensive Processes under Time-Sensitive Electricity Prices
spellingShingle Novel MILP Scheduling Model for Power-Intensive Processes under Time-Sensitive Electricity Prices
Basán, Natalia Paola
Scheduling
MILP model
continuous power-intensive processes
energy consumption cost
title_short Novel MILP Scheduling Model for Power-Intensive Processes under Time-Sensitive Electricity Prices
title_full Novel MILP Scheduling Model for Power-Intensive Processes under Time-Sensitive Electricity Prices
title_fullStr Novel MILP Scheduling Model for Power-Intensive Processes under Time-Sensitive Electricity Prices
title_full_unstemmed Novel MILP Scheduling Model for Power-Intensive Processes under Time-Sensitive Electricity Prices
title_sort Novel MILP Scheduling Model for Power-Intensive Processes under Time-Sensitive Electricity Prices
dc.creator.none.fl_str_mv Basán, Natalia Paola
Grossmann, Ignacio E.
Gopalakrishnan, Ajit
Lotero, Irene
Mendez, Carlos Alberto
author Basán, Natalia Paola
author_facet Basán, Natalia Paola
Grossmann, Ignacio E.
Gopalakrishnan, Ajit
Lotero, Irene
Mendez, Carlos Alberto
author_role author
author2 Grossmann, Ignacio E.
Gopalakrishnan, Ajit
Lotero, Irene
Mendez, Carlos Alberto
author2_role author
author
author
author
dc.subject.none.fl_str_mv Scheduling
MILP model
continuous power-intensive processes
energy consumption cost
topic Scheduling
MILP model
continuous power-intensive processes
energy consumption cost
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this work, a mixed-integer linear programming (MILP) model is presented based on a discrete-time scheduling formulation that allows modeling and optimizing operational decisions for processes working under time-sensitive energy prices. The main goal is to find an optimal production schedule, over a given time horizon, that satisfies product demand while minimizing total energy cost. This novel formulation, based on a new concept to model the transitions between alternative operating modes, is very efficient and robust. To illustrate the new capabilities of the model, a comprehensive comparison is performed with a previous alternative model. The model is also used to efficiently solve a real-world industrial case study. The obtained results show optimal solutions for the proposed methodology with modest computational effort.
Fil: Basán, Natalia Paola. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Grossmann, Ignacio E.. University of Carnegie Mellon; Estados Unidos
Fil: Gopalakrishnan, Ajit. Air Liquide;
Fil: Lotero, Irene. Air Liquide;
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
description In this work, a mixed-integer linear programming (MILP) model is presented based on a discrete-time scheduling formulation that allows modeling and optimizing operational decisions for processes working under time-sensitive energy prices. The main goal is to find an optimal production schedule, over a given time horizon, that satisfies product demand while minimizing total energy cost. This novel formulation, based on a new concept to model the transitions between alternative operating modes, is very efficient and robust. To illustrate the new capabilities of the model, a comprehensive comparison is performed with a previous alternative model. The model is also used to efficiently solve a real-world industrial case study. The obtained results show optimal solutions for the proposed methodology with modest computational effort.
publishDate 2018
dc.date.none.fl_str_mv 2018-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/86918
Basán, Natalia Paola; Grossmann, Ignacio E.; Gopalakrishnan, Ajit; Lotero, Irene; Mendez, Carlos Alberto; Novel MILP Scheduling Model for Power-Intensive Processes under Time-Sensitive Electricity Prices; American Chemical Society; Industrial & Engineering Chemical Research; 57; 5; 1-2018; 1581-1592
0888-5885
CONICET Digital
CONICET
url http://hdl.handle.net/11336/86918
identifier_str_mv Basán, Natalia Paola; Grossmann, Ignacio E.; Gopalakrishnan, Ajit; Lotero, Irene; Mendez, Carlos Alberto; Novel MILP Scheduling Model for Power-Intensive Processes under Time-Sensitive Electricity Prices; American Chemical Society; Industrial & Engineering Chemical Research; 57; 5; 1-2018; 1581-1592
0888-5885
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/acs.iecr.7b04435
info:eu-repo/semantics/altIdentifier/doi/10.1021/acs.iecr.7b04435
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Chemical Society
publisher.none.fl_str_mv American Chemical Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613423191556096
score 13.070432

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