An efficient and rigorous thermodynamic library and optimal-control of a cryogenic air separation unit

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2017Researchpeer-review

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Cryogenic air separation (CAS) is the leading technology for large scale production of pure N2, O2 and Ar. This process is very electric-energy intensive; thus it is a likely candidate for load balancing of power stations in a smart grid. This type of intermittent operation of CAS, requires a non-linear model based control to achieve optimal techno-economic performance. Accordingly, this work presents a computationally efficient and novel approach for solving a tray-by-tray equilibrium model and its implementation for open-loop optimal-control of a cryogenic distillation column. Here, the optimisation objective is to reduce the cost of compression in a volatile electricity market while meeting the production requirements, i.e. product flow rate and purity. This model is implemented in Matlab and uses the ThermoLib rigorous thermodynamic library. The present work represents a first step towards plant-wide dynamic modelling and smart control of a cryogenic distillation plant.
Original languageEnglish
Title of host publicationProceedings of the 27th European Symposium on Computer Aided Process Engineering – ESCAPE 27
Volume40
PublisherElsevier
Publication date2017
Pages1543-1548
DOIs
Publication statusPublished - 2017
Event27th European Symposium on Computer Aided Process Engineering - Barcelona, Spain
Duration: 1 Oct 20175 Oct 2017
Conference number: 27
https://www.elsevier.com/books/27th-european-symposium-on-computer-aided-process-engineering/espuna/978-0-444-63965-3

Conference

Conference27th European Symposium on Computer Aided Process Engineering
Number27
CountrySpain
CityBarcelona
Period01/10/201705/10/2017
Internet address
SeriesComputer Aided Chemical Engineering
Volume40
ISSN1570-7946
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Cryogenic air separation, Load balancing, Distillation column, Dynamic modeling, Optimal-control
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