"Modular Framework for Simulation-Based Multi-objective Optimization of" by Bryan V. Piguave, Santiago D. Salas et al.

Faculty Publications

Title

Modular Framework for Simulation-Based Multi-objective Optimization of a Cryogenic Air Separation Unit

Authors

Bryan V. Piguave, Escuela Superior Politécnica del Litoral, ESPOL, Facultad de Ciencias Naturales y Matemáticas, Campus Gustavo Galindo Km. 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil 09015863, Ecuador.
Santiago D. Salas, Escuela Superior Politécnica del Litoral, ESPOL, Facultad de Ciencias Naturales y Matemáticas, Campus Gustavo Galindo Km. 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil 09015863, Ecuador.
Dany De Cecchis, Escuela Superior Politécnica del Litoral, ESPOL, Facultad de Ciencias Naturales y Matemáticas, Campus Gustavo Galindo Km. 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil 09015863, Ecuador.
José A. Romagnoli, Department of Chemical Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, United States.

Document Type

Article

Publication Date

4-12-2022

Abstract

A framework to obtain optimal operating conditions is proposed for a cryogenic air separation unit case study. The optimization problem is formulated considering three objective functions, 11 decision variables, and two constraint setups. Different optimization algorithms simultaneously evaluate the conflicting objective functions: the annualized cash flow, the efficiency at the compression stage, and capital expenditures. The framework follows a modular approach, in which the process simulator PRO/II and a Python environment are combined. The results permit us to assess the applicability of the tested algorithms and to determine optimal operational windows based on the resultant 3-D Pareto fronts.

Publication Source (Journal or Book title)

ACS omega

First Page

11696

Last Page

11709

Recommended Citation

Piguave, B. V., Salas, S. D., De Cecchis, D., & Romagnoli, J. A. (2022). Modular Framework for Simulation-Based Multi-objective Optimization of a Cryogenic Air Separation Unit. ACS omega, 7 (14), 11696-11709. https://doi.org/10.1021/acsomega.1c06669

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