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Session S20 - Applied Math and Computational Methods and Analysis across the Americas

Friday, July 16, 14:00 ~ 14:30 UTC-3

Application of Scientific computing techniques for studying chemical process simulation

Dany De Cecchis

Escuela Superior Politécnica del Litoral, Facultad de Ciencia Naturales y Matemáticas, Guayaquil, Ecuador   -   This email address is being protected from spambots. You need JavaScript enabled to view it.

The advent of Industry 4.0, the intelligent networking of machines and processes in the industry with the aid of information and communication technology, has incorporated more sophisticated tools for simulating and using scientific computing tools to obtain insights about the industrial process. In this talk, we introduce a framework to apply computational mathematics tools available in the Python ecosystem to chemical process simulations using high-resolution steady-state modular chemical process modelers, like PRO/II$^{\text{TM}}$. We start with the mechanism we use for connecting both software architectures, highlighting the benefits of taking advantage of an open-source and flexible platform as the modules developed in the Python ecosystem, together with a robust chemical process simulation as PRO/II$^{\text{TM}}$. The possibility of using different numerical and computational resources adds value for more complete and sophisticated simulations, supporting the decision-making process about operational windows. We outline some case studies of ongoing research.

Joint work with Santiago D. Salas (Escuela Superior Politécnica del Litoral, Ecuador), José A. Romagnoli (Louisiana State University, USA) and Daniela Galatro (University of Toronto, Canada).

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