Document Type
Conference Proceeding
Publication Date
6-1-2021
Abstract
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.
Publication Source (Journal or Book title)
IFAC-PapersOnLine
First Page
522
Last Page
527
Recommended Citation
Salas, S., de Cecchis, D., Piguave, B., & Romagnoli, J. (2021). Many-objective simulation-based optimization of an air separation unit. IFAC-PapersOnLine, 54 (3), 522-527. https://doi.org/10.1016/j.ifacol.2021.08.295
