Process model validation and analysis for intensification of an industrial scale process

Renata Carolina Chinda, Rotjana Ponsatorn, Amata Anantpinijwatna, Fernando P. Pessoa, John M. Woodley, Seyed Soheil Mansouri*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Adopting reliable process models is one of the main requisites for wide spread use of process models in industry for design, control, operation and troubleshooting purposes. Validating a model against operational conditions is a plausible way to guarantee assurance and reproducibility of model outputs. Economic and sustainability analysis together with process intensification (PI) can provide feasible solutions for industrial hot-spot identification and removal. In this work, an industrial scale urea plant was modelled and simulated in a commercial process simulator. More than thirty different industrial process parameters were statistically analysed and used to perform the model validation. Economic and sustainability analyses were performed and the main hot-spots were identified. Process intensification at phenomena-level was employed to obtain more sustainable intensified process flowsheets. The results show that economic and environmental factors can be improved to reliable extent since the process model is closely replicating the reality in the base case and it fits well with industrial data.
Original languageEnglish
Title of host publicationProceedings of the 29th European Symposium on Computer Aided Process Engineering
EditorsKiss Anton, Edwin Zondervan, Richard Lakerveld, Leyla Özkan
PublisherElsevier
Publication date2019
Pages955-960
ISBN (Print)9780128186343
DOIs
Publication statusPublished - 2019
Event29th European Symposium on Computer Aided Process Engineering - Eindhoven, Netherlands
Duration: 16 Jun 201919 Jun 2019

Conference

Conference29th European Symposium on Computer Aided Process Engineering
CountryNetherlands
CityEindhoven
Period16/06/201919/06/2019
SeriesComputer Aided Chemical Engineering
Volume46
ISSN1570-7946

Keywords

  • Industrial data validation
  • Process intensification
  • Sustainable solutions

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