Book chapter · Conference paper
Optimising and Predicting Performance of Industrial Filtrations using Process Data
Industrial cake filtration is non-trivial from an operational point of view. Discrete events such as the removal of filter cake occur on a frequent but irregular basis. These events tend to upset the steady state of the incorporating line, which may constrain plantwide optimisation. A case study has been carried out with an industrial partner where changes in the biological feedstock act as strong disturbances on a series of manually reinitialised dead-end pressure leaf filters.
This renders production planning a challenging task which,so far, is carried out by experienced operators. We look for shortcomings in the current, heuristically grown manner of operating the filters and present guidelines for a superior strategy. A predictive process model is required for a deterministic scheduling algorithm, and two approaches at modelling the filtrations are presented and compared.
Language: | English |
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Publisher: | Elsevier |
Year: | 2017 |
Edition: | 1 |
Pages: | 1471-1478 |
Proceedings: | 27th European Symposium on Computer Aided Process Engineering |
ISBN: | 0444639659 , 0444639705 , 9780444639653 and 9780444639707 |
ISSN: | 15707946 |
Types: | Book chapter and Conference paper |
DOI: | 10.1016/B978-0-444-63965-3.50247-6 |
ORCIDs: | Abildskov, Jens and Huusom, Jakob Kjøbsted |