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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425184/ http://dx.doi.org/10.1016/j.ifacol.2021.08.295 |
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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 |
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