文章基本信息

标题：Many-Objective Simulation-Based Optimization of an Air Separation Unit
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作者：Santiago D. Salas ; Dany De Cecchis ; Bryan V. Piguave 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：3
页码：522-527
DOI：10.1016/j.ifacol.2021.08.295
语种：English
出版社：Elsevier
摘要：AbstractAir 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.
关键词：KeywordsMany-objective optimization3-D Pareto frontCryogenic air distillationOperational window