Plantwide Optimizing Control for an Acrylic Acid Production Process: A combined Stochastic Optimization and Green Chemistry approach

ABSTRACT: Traditional decentralized control strategies not consider that disturbances or uncertainties can affect the optimal operation point of processes, reducing economic profitability, increasing environmental impact of them, and operating in infeasible zones where security constraints might be...

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Autores:
Duque Amaya, Andrés Felipe
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2021
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/23031
Acceso en línea:
http://hdl.handle.net/10495/23031
Palabra clave:
Environmental chemistry
Química ambiental
Environmental impact
Impacto ambiental
Environmental economics
Economía medioambiental
Acrylic acid
Green chemistry
Plantwide Control
Stochastic optimization
http://aims.fao.org/aos/agrovoc/c_24420
http://aims.fao.org/aos/agrovoc/c_92350
http://vocabularies.unesco.org/thesaurus/concept3985
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-sa/4.0/
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dc.title.spa.fl_str_mv Plantwide Optimizing Control for an Acrylic Acid Production Process: A combined Stochastic Optimization and Green Chemistry approach
title Plantwide Optimizing Control for an Acrylic Acid Production Process: A combined Stochastic Optimization and Green Chemistry approach
spellingShingle Plantwide Optimizing Control for an Acrylic Acid Production Process: A combined Stochastic Optimization and Green Chemistry approach
Environmental chemistry
Química ambiental
Environmental impact
Impacto ambiental
Environmental economics
Economía medioambiental
Acrylic acid
Green chemistry
Plantwide Control
Stochastic optimization
http://aims.fao.org/aos/agrovoc/c_24420
http://aims.fao.org/aos/agrovoc/c_92350
http://vocabularies.unesco.org/thesaurus/concept3985
title_short Plantwide Optimizing Control for an Acrylic Acid Production Process: A combined Stochastic Optimization and Green Chemistry approach
title_full Plantwide Optimizing Control for an Acrylic Acid Production Process: A combined Stochastic Optimization and Green Chemistry approach
title_fullStr Plantwide Optimizing Control for an Acrylic Acid Production Process: A combined Stochastic Optimization and Green Chemistry approach
title_full_unstemmed Plantwide Optimizing Control for an Acrylic Acid Production Process: A combined Stochastic Optimization and Green Chemistry approach
title_sort Plantwide Optimizing Control for an Acrylic Acid Production Process: A combined Stochastic Optimization and Green Chemistry approach
dc.creator.fl_str_mv Duque Amaya, Andrés Felipe
dc.contributor.advisor.none.fl_str_mv Ochoa Cáceres, Silvia
dc.contributor.author.none.fl_str_mv Duque Amaya, Andrés Felipe
dc.contributor.researchgroup.spa.fl_str_mv Simulación Diseño Control y Optimización de Procesos (SIDCOP)
dc.subject.unesco.none.fl_str_mv Environmental chemistry
Química ambiental
topic Environmental chemistry
Química ambiental
Environmental impact
Impacto ambiental
Environmental economics
Economía medioambiental
Acrylic acid
Green chemistry
Plantwide Control
Stochastic optimization
http://aims.fao.org/aos/agrovoc/c_24420
http://aims.fao.org/aos/agrovoc/c_92350
http://vocabularies.unesco.org/thesaurus/concept3985
dc.subject.agrovoc.none.fl_str_mv Environmental impact
Impacto ambiental
Environmental economics
Economía medioambiental
dc.subject.proposal.spa.fl_str_mv Acrylic acid
Green chemistry
Plantwide Control
Stochastic optimization
dc.subject.agrovocuri.none.fl_str_mv http://aims.fao.org/aos/agrovoc/c_24420
http://aims.fao.org/aos/agrovoc/c_92350
dc.subject.unescouri.none.fl_str_mv http://vocabularies.unesco.org/thesaurus/concept3985
description ABSTRACT: Traditional decentralized control strategies not consider that disturbances or uncertainties can affect the optimal operation point of processes, reducing economic profitability, increasing environmental impact of them, and operating in infeasible zones where security constraints might be violated. To combat these problematic issues, this work proposes alternatives that assures economic profitability, and environmental care from a plantwide and optimization perspectives. Dynamic optimization is a good strategy for controlling a complete plant. It allows to improve economic profitability reducing environmental impact of processes. In this thesis, we present a Stochastic Plantwide Optimizing Control (SPWOC) approach which handle three sources of uncertainty (internal, external, and process), obtaining solutions that improve economic performance of the process, with excellent performance of the control system, fulfilment of safety constraints for all the analysed scenarios, and reduction of environment impact of the process. A comparison of SPWOC against deterministic Plantwide Optimizing Control (PWOC) and decentralized structures is carried out. Results show the effectiveness of the proposed SPWOC structure for handling different types of uncertainties. Inclusion of green chemistry metrics into the nine steps of the SPWOC formulation showed to be a good strategy to improve environmental aspects of the process.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-10-08T17:26:15Z
dc.date.available.none.fl_str_mv 2021-10-08T17:26:15Z
dc.date.issued.none.fl_str_mv 2021
dc.type.spa.fl_str_mv Tesis/Trabajo de grado - Monografía - Doctorado
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dc.language.iso.spa.fl_str_mv eng
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dc.format.extent.spa.fl_str_mv 191
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dc.publisher.spa.fl_str_mv Universidad de Antioquia
dc.publisher.place.spa.fl_str_mv Medellín
dc.publisher.faculty.spa.fl_str_mv Facultad de Ingeniería. Ingeniería Química
institution Universidad de Antioquia
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spelling Ochoa Cáceres, SilviaDuque Amaya, Andrés FelipeSimulación Diseño Control y Optimización de Procesos (SIDCOP)2021-10-08T17:26:15Z2021-10-08T17:26:15Z2021http://hdl.handle.net/10495/23031ABSTRACT: Traditional decentralized control strategies not consider that disturbances or uncertainties can affect the optimal operation point of processes, reducing economic profitability, increasing environmental impact of them, and operating in infeasible zones where security constraints might be violated. To combat these problematic issues, this work proposes alternatives that assures economic profitability, and environmental care from a plantwide and optimization perspectives. Dynamic optimization is a good strategy for controlling a complete plant. It allows to improve economic profitability reducing environmental impact of processes. In this thesis, we present a Stochastic Plantwide Optimizing Control (SPWOC) approach which handle three sources of uncertainty (internal, external, and process), obtaining solutions that improve economic performance of the process, with excellent performance of the control system, fulfilment of safety constraints for all the analysed scenarios, and reduction of environment impact of the process. A comparison of SPWOC against deterministic Plantwide Optimizing Control (PWOC) and decentralized structures is carried out. Results show the effectiveness of the proposed SPWOC structure for handling different types of uncertainties. Inclusion of green chemistry metrics into the nine steps of the SPWOC formulation showed to be a good strategy to improve environmental aspects of the process.DoctoradoDoctor en Ingeniería Química191application/pdfengUniversidad de AntioquiaMedellínFacultad de Ingeniería. 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