Cargando…

Many-Objective Simulation-Based Optimization of an Air Separation Unit

Air separation systems are crucial in the production of oxygen, which has gained particular relevance during the COVID-19 outbreak. Mechanical ventilation can compensate respiratory deficiencies along with the use of medical oxygen in vulnerable patients infected with this disease. In this contribut...

Descripción completa

Detalles Bibliográficos
Autores principales: Salas, Santiago D., Cecchis, Dany De, Piguave, Bryan V., Romagnoli, José A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: , IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425184/
http://dx.doi.org/10.1016/j.ifacol.2021.08.295
_version_ 1783749806802337792
author Salas, Santiago D.
Cecchis, Dany De
Piguave, Bryan V.
Romagnoli, José A.
author_facet Salas, Santiago D.
Cecchis, Dany De
Piguave, Bryan V.
Romagnoli, José A.
author_sort Salas, Santiago D.
collection PubMed
description Air separation systems are crucial in the production of oxygen, which has gained particular relevance during the COVID-19 outbreak. Mechanical ventilation can compensate respiratory deficiencies along with the use of medical oxygen in vulnerable patients infected with this disease. In this contribution, a many-objective simulation-based optimization framework is proposed for determining eleven decision variables for the operation of an air separation unit. The framework combines the capabilities of the process simulator PRO/II with a Python environment. Three objective functions are optimized together towards the construction of a 3-D Pareto front. Results provide insightful information regarding the most adequate operating conditions of the unit, including the definition of an operational window rather than a single operational point.
format Online
Article
Text
id pubmed-8425184
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher , IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.
record_format MEDLINE/PubMed
spelling pubmed-84251842021-09-08 Many-Objective Simulation-Based Optimization of an Air Separation Unit Salas, Santiago D. Cecchis, Dany De Piguave, Bryan V. Romagnoli, José A. IFAC-PapersOnLine Article Air separation systems are crucial in the production of oxygen, which has gained particular relevance during the COVID-19 outbreak. Mechanical ventilation can compensate respiratory deficiencies along with the use of medical oxygen in vulnerable patients infected with this disease. In this contribution, a many-objective simulation-based optimization framework is proposed for determining eleven decision variables for the operation of an air separation unit. The framework combines the capabilities of the process simulator PRO/II with a Python environment. Three objective functions are optimized together towards the construction of a 3-D Pareto front. Results provide insightful information regarding the most adequate operating conditions of the unit, including the definition of an operational window rather than a single operational point. , IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. 2021 2021-09-08 /pmc/articles/PMC8425184/ http://dx.doi.org/10.1016/j.ifacol.2021.08.295 Text en © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Salas, Santiago D.
Cecchis, Dany De
Piguave, Bryan V.
Romagnoli, José A.
Many-Objective Simulation-Based Optimization of an Air Separation Unit
title Many-Objective Simulation-Based Optimization of an Air Separation Unit
title_full Many-Objective Simulation-Based Optimization of an Air Separation Unit
title_fullStr Many-Objective Simulation-Based Optimization of an Air Separation Unit
title_full_unstemmed Many-Objective Simulation-Based Optimization of an Air Separation Unit
title_short Many-Objective Simulation-Based Optimization of an Air Separation Unit
title_sort many-objective simulation-based optimization of an air separation unit
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425184/
http://dx.doi.org/10.1016/j.ifacol.2021.08.295
work_keys_str_mv AT salassantiagod manyobjectivesimulationbasedoptimizationofanairseparationunit
AT cecchisdanyde manyobjectivesimulationbasedoptimizationofanairseparationunit
AT piguavebryanv manyobjectivesimulationbasedoptimizationofanairseparationunit
AT romagnolijosea manyobjectivesimulationbasedoptimizationofanairseparationunit