Non-Linear Data Reconciliation for a Partial Nitritation (SHARON) Reactor

Journal Article (2016)
Authors

Q. H. Le (Universiteit Gent)

PJT Verheijen (OLD BT/Cell Systems Engineering)

Kris E. Mampaey (Universiteit Gent)

M. C M van Loosdrecht (TU Delft - BT/Environmental Biotechnology)

E. I.P. Volcke (Universiteit Gent)

Research Group
BT/Environmental Biotechnology
To reference this document use:
https://doi.org/10.1016/j.ifacol.2016.07.356
More Info
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Publication Year
2016
Language
English
Research Group
BT/Environmental Biotechnology
Issue number
7
Volume number
49
Pages (from-to)
1139-1144
DOI:
https://doi.org/10.1016/j.ifacol.2016.07.356

Abstract

This work demonstrates the usefulness of non-linear data reconciliation to evaluate available measurements and estimate unmeasured variables for a full-scale partial nitritation (SHARON) reactor for the treatment of wastewater with high ammonium concentrations. Despite a lack of measured data, the bilinear approach of formulating system constraints allowed to satisfy the requirements for data reconciliation and gross error detection, leading to a balanced data set and the estimation of unmeasured variables.

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