Optimal operation of parallel dead-end filters in a continuous bio-based process

F. D. Bähner, P. A. Santacoloma, J. K. Huusom*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Dead-end cake filtration as one of the first unit operations deployed in biochemical production plants has been subject of academic investigation for many decades. The recurrent discrete reinitialisation events are challenging from a process control point of view, especially in a continuous downstream line. The complexity that arises when multiple units are operated in parallel seems to have received little attention. This work aims at illustrating this complexity and delineates the arising plantwide control problem. Guidelines for optimised operation are derived from general process understanding and at hand of an industrial case study. The need for a predictive model to solve multiple scheduling problems is identified, and a mathematical model based on conventional filtration theory is derived. Due to raw material variability and operational uncertainties, the predictions are found to be too imprecise for deployment. This is expected to be representative of many bio-based processes, where manual scheduling needs to be integrated effectively into plantwide control structures.
Original languageEnglish
JournalFood and Bioproducts Processing
Volume114
Pages (from-to)263-275
ISSN0960-3085
DOIs
Publication statusPublished - 2019

Keywords

  • Biological raw material
  • Dead-end filtration
  • Downstream line
  • Full-Scale process
  • Industrial case study
  • Plantwide control

Cite this

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title = "Optimal operation of parallel dead-end filters in a continuous bio-based process",
abstract = "Dead-end cake filtration as one of the first unit operations deployed in biochemical production plants has been subject of academic investigation for many decades. The recurrent discrete reinitialisation events are challenging from a process control point of view, especially in a continuous downstream line. The complexity that arises when multiple units are operated in parallel seems to have received little attention. This work aims at illustrating this complexity and delineates the arising plantwide control problem. Guidelines for optimised operation are derived from general process understanding and at hand of an industrial case study. The need for a predictive model to solve multiple scheduling problems is identified, and a mathematical model based on conventional filtration theory is derived. Due to raw material variability and operational uncertainties, the predictions are found to be too imprecise for deployment. This is expected to be representative of many bio-based processes, where manual scheduling needs to be integrated effectively into plantwide control structures.",
keywords = "Biological raw material, Dead-end filtration, Downstream line, Full-Scale process, Industrial case study, Plantwide control",
author = "B{\"a}hner, {F. D.} and Santacoloma, {P. A.} and Huusom, {J. K.}",
year = "2019",
doi = "10.1016/j.fbp.2019.02.001",
language = "English",
volume = "114",
pages = "263--275",
journal = "Food and Bioproducts Processing",
issn = "0960-3085",
publisher = "Elsevier",

}

Optimal operation of parallel dead-end filters in a continuous bio-based process. / Bähner, F. D.; Santacoloma, P. A.; Huusom, J. K.

In: Food and Bioproducts Processing, Vol. 114, 2019, p. 263-275.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Optimal operation of parallel dead-end filters in a continuous bio-based process

AU - Bähner, F. D.

AU - Santacoloma, P. A.

AU - Huusom, J. K.

PY - 2019

Y1 - 2019

N2 - Dead-end cake filtration as one of the first unit operations deployed in biochemical production plants has been subject of academic investigation for many decades. The recurrent discrete reinitialisation events are challenging from a process control point of view, especially in a continuous downstream line. The complexity that arises when multiple units are operated in parallel seems to have received little attention. This work aims at illustrating this complexity and delineates the arising plantwide control problem. Guidelines for optimised operation are derived from general process understanding and at hand of an industrial case study. The need for a predictive model to solve multiple scheduling problems is identified, and a mathematical model based on conventional filtration theory is derived. Due to raw material variability and operational uncertainties, the predictions are found to be too imprecise for deployment. This is expected to be representative of many bio-based processes, where manual scheduling needs to be integrated effectively into plantwide control structures.

AB - Dead-end cake filtration as one of the first unit operations deployed in biochemical production plants has been subject of academic investigation for many decades. The recurrent discrete reinitialisation events are challenging from a process control point of view, especially in a continuous downstream line. The complexity that arises when multiple units are operated in parallel seems to have received little attention. This work aims at illustrating this complexity and delineates the arising plantwide control problem. Guidelines for optimised operation are derived from general process understanding and at hand of an industrial case study. The need for a predictive model to solve multiple scheduling problems is identified, and a mathematical model based on conventional filtration theory is derived. Due to raw material variability and operational uncertainties, the predictions are found to be too imprecise for deployment. This is expected to be representative of many bio-based processes, where manual scheduling needs to be integrated effectively into plantwide control structures.

KW - Biological raw material

KW - Dead-end filtration

KW - Downstream line

KW - Full-Scale process

KW - Industrial case study

KW - Plantwide control

U2 - 10.1016/j.fbp.2019.02.001

DO - 10.1016/j.fbp.2019.02.001

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SN - 0960-3085

ER -