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

Q. H. Le; P. J T Verheijen; K. E. Mampaey; M. C M van Loosdrecht; E. I P Volcke

doi:10.1016/j.ifacol.2016.07.356

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

Q. H. Le, P. J T Verheijen, K. E. Mampaey, M. C M van Loosdrecht, E. I P Volcke

BT/Environmental Biotechnology

Research output: Contribution to journal › Conference article › Scientific › peer-review

4 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1139-1144
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	49
Issue number	7
DOIs	https://doi.org/10.1016/j.ifacol.2016.07.356
Publication status	Published - 2016

Keywords

biological nitrogen removal
data reconciliation
mass balances
SHARON
wastewater treatment

Access to Document

10.1016/j.ifacol.2016.07.356

Cite this

@article{611409335f0541aa803664b3ba3b22b1,

title = "Non-Linear Data Reconciliation for a Partial Nitritation (SHARON) Reactor",

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.",

keywords = "biological nitrogen removal, data reconciliation, mass balances, SHARON, wastewater treatment",

author = "Le, {Q. H.} and Verheijen, {P. J T} and Mampaey, {K. E.} and Loosdrecht, {M. C M van} and Volcke, {E. I P}",

year = "2016",

doi = "10.1016/j.ifacol.2016.07.356",

language = "English",

volume = "49",

pages = "1139--1144",

journal = "IFAC-PapersOnLine",

issn = "2405-8963",

publisher = "Elsevier",

number = "7",

}

TY - JOUR

T1 - Non-Linear Data Reconciliation for a Partial Nitritation (SHARON) Reactor

AU - Le, Q. H.

AU - Verheijen, P. J T

AU - Mampaey, K. E.

AU - Loosdrecht, M. C M van

AU - Volcke, E. I P

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - biological nitrogen removal

KW - data reconciliation

KW - mass balances

KW - SHARON

KW - wastewater treatment

UR - http://www.scopus.com/inward/record.url?scp=84991029229&partnerID=8YFLogxK

U2 - 10.1016/j.ifacol.2016.07.356

DO - 10.1016/j.ifacol.2016.07.356

M3 - Conference article

SN - 2405-8963

VL - 49

SP - 1139

EP - 1144

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 7

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this