Design and optimization of a supply chain for cogeneration of electrical and thermal energy from forest biomass

Autores
Bragado, María Virginia; Broz, Diego; Dondo, Rodolfo
Año de publicación
2018
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
A forestry-industrial company from the north of Misiones province buys electricity for covering its energy demand. The installation of a cogeneration plant for producing thermal and electrical energy from biomass in order to satisfy the company demand and upload the surplus to the electricity grid is researched in this work. Several options for supplying the co-generation plant exist and different alternatives; namely pulp chip, industrial waste, forest waste and industrial residues from sawmills; must be taken into account and selected. In this framework, the calorific value, costs and market of different biomass fuels are necessary data for the optimal setting of the company supply chain. This study develops a mathematical model for optimizing it with a global perspective in order to identify the best decisions and supply-flows. The objective function aims at setting the supply chain configuration that maximizes profits and selects the best biomass supply-sources and products-destinations. Optimal flows within the supply chain are also fixed. The MILP model is solved with GAMS and its optimal configuration on four realistic scenarios is analyzed.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
forestry biomass
cogeneration
optimal supply chain
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/71885
Acceder
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spelling Design and optimization of a supply chain for cogeneration of electrical and thermal energy from forest biomassBragado, María VirginiaBroz, DiegoDondo, RodolfoCiencias Informáticasforestry biomasscogenerationoptimal supply chainA forestry-industrial company from the north of Misiones province buys electricity for covering its energy demand. The installation of a cogeneration plant for producing thermal and electrical energy from biomass in order to satisfy the company demand and upload the surplus to the electricity grid is researched in this work. Several options for supplying the co-generation plant exist and different alternatives; namely pulp chip, industrial waste, forest waste and industrial residues from sawmills; must be taken into account and selected. In this framework, the calorific value, costs and market of different biomass fuels are necessary data for the optimal setting of the company supply chain. This study develops a mathematical model for optimizing it with a global perspective in order to identify the best decisions and supply-flows. The objective function aims at setting the supply chain configuration that maximizes profits and selects the best biomass supply-sources and products-destinations. Optimal flows within the supply chain are also fixed. The MILP model is solved with GAMS and its optimal configuration on four realistic scenarios is analyzed.Sociedad Argentina de Informática e Investigación Operativa2018-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf29-40http://sedici.unlp.edu.ar/handle/10915/71885enginfo:eu-repo/semantics/altIdentifier/url/http://47jaiio.sadio.org.ar/sites/default/files/SIIIO-03.pdfinfo:eu-repo/semantics/altIdentifier/issn/2618-3277info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/3.0/Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:43:44Zoai:sedici.unlp.edu.ar:10915/71885Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:43:44.595SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Design and optimization of a supply chain for cogeneration of electrical and thermal energy from forest biomass
title Design and optimization of a supply chain for cogeneration of electrical and thermal energy from forest biomass
spellingShingle Design and optimization of a supply chain for cogeneration of electrical and thermal energy from forest biomass
Bragado, María Virginia
Ciencias Informáticas
forestry biomass
cogeneration
optimal supply chain
title_short Design and optimization of a supply chain for cogeneration of electrical and thermal energy from forest biomass
title_full Design and optimization of a supply chain for cogeneration of electrical and thermal energy from forest biomass
title_fullStr Design and optimization of a supply chain for cogeneration of electrical and thermal energy from forest biomass
title_full_unstemmed Design and optimization of a supply chain for cogeneration of electrical and thermal energy from forest biomass
title_sort Design and optimization of a supply chain for cogeneration of electrical and thermal energy from forest biomass
dc.creator.none.fl_str_mv Bragado, María Virginia
Broz, Diego
Dondo, Rodolfo
author Bragado, María Virginia
author_facet Bragado, María Virginia
Broz, Diego
Dondo, Rodolfo
author_role author
author2 Broz, Diego
Dondo, Rodolfo
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
forestry biomass
cogeneration
optimal supply chain
topic Ciencias Informáticas
forestry biomass
cogeneration
optimal supply chain
dc.description.none.fl_txt_mv A forestry-industrial company from the north of Misiones province buys electricity for covering its energy demand. The installation of a cogeneration plant for producing thermal and electrical energy from biomass in order to satisfy the company demand and upload the surplus to the electricity grid is researched in this work. Several options for supplying the co-generation plant exist and different alternatives; namely pulp chip, industrial waste, forest waste and industrial residues from sawmills; must be taken into account and selected. In this framework, the calorific value, costs and market of different biomass fuels are necessary data for the optimal setting of the company supply chain. This study develops a mathematical model for optimizing it with a global perspective in order to identify the best decisions and supply-flows. The objective function aims at setting the supply chain configuration that maximizes profits and selects the best biomass supply-sources and products-destinations. Optimal flows within the supply chain are also fixed. The MILP model is solved with GAMS and its optimal configuration on four realistic scenarios is analyzed.
Sociedad Argentina de Informática e Investigación Operativa
description A forestry-industrial company from the north of Misiones province buys electricity for covering its energy demand. The installation of a cogeneration plant for producing thermal and electrical energy from biomass in order to satisfy the company demand and upload the surplus to the electricity grid is researched in this work. Several options for supplying the co-generation plant exist and different alternatives; namely pulp chip, industrial waste, forest waste and industrial residues from sawmills; must be taken into account and selected. In this framework, the calorific value, costs and market of different biomass fuels are necessary data for the optimal setting of the company supply chain. This study develops a mathematical model for optimizing it with a global perspective in order to identify the best decisions and supply-flows. The objective function aims at setting the supply chain configuration that maximizes profits and selects the best biomass supply-sources and products-destinations. Optimal flows within the supply chain are also fixed. The MILP model is solved with GAMS and its optimal configuration on four realistic scenarios is analyzed.
publishDate 2018
dc.date.none.fl_str_mv 2018-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/71885
url http://sedici.unlp.edu.ar/handle/10915/71885
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://47jaiio.sadio.org.ar/sites/default/files/SIIIO-03.pdf
info:eu-repo/semantics/altIdentifier/issn/2618-3277
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-sa/3.0/
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dc.format.none.fl_str_mv application/pdf
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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