On-line dynamic monitoring of the SHARON process for sustainable nitrogen removal from wastewater

Kris Villez; Christian Rosen; Van Hulle Stijn; Chang Kyoo Yoo; Peter A. Vanrolleghem

doi:10.1016/S1570-7946(05)80058-6

On-line dynamic monitoring of the SHARON process for sustainable nitrogen removal from wastewater

Kris Villez, Christian Rosen, Van Hulle Stijn, Chang Kyoo Yoo, Peter A. Vanrolleghem

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

The goal of this work is the development of a suitable monitoring module, which is to be the first module of an integrated fault detection and control system for the SHARON process. To model the process properly, different PCA models are tested. As a first step, PCA is used in an iterative manner to exclude data not considered to represent normal operational conditions and process behaviour from the original data set. To improve the performance of the identified model, it is decided to account for dynamics in the SHARON process by means of auto-regressive exogenous (ARX) structuring of data before the identification. A fruitful replacement of missing values for this purpose is done by means of a static PCA model. It is shown that the different criteria used in model selection lead to the same DPCA model. In this paper all steps of the monitoring module design are explained and the performance of different models is analyzed.

Original language	English
Pages (from-to)	1297-1302
Number of pages	6
Journal	Computer Aided Chemical Engineering
Volume	20
Issue number	C
DOIs	https://doi.org/10.1016/S1570-7946(05)80058-6
State	Published - 2005
Externally published	Yes

Funding

This work was supported by the Institute for Encouragement of Innovation by means of Science and Technology in Flanders (IWT), the Visiting Postdoctoral Fellowship of the Fund for Scientific Research-Flanders (FWO) and the ICON Project No. EVK1-CT2000-054.

Keywords

Dynamics PCA
environmental biotechnology
fault detection
statistical monitoring
wastewater treatment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/S1570-7946(05)80058-6

Cite this

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title = "On-line dynamic monitoring of the SHARON process for sustainable nitrogen removal from wastewater",

abstract = "The goal of this work is the development of a suitable monitoring module, which is to be the first module of an integrated fault detection and control system for the SHARON process. To model the process properly, different PCA models are tested. As a first step, PCA is used in an iterative manner to exclude data not considered to represent normal operational conditions and process behaviour from the original data set. To improve the performance of the identified model, it is decided to account for dynamics in the SHARON process by means of auto-regressive exogenous (ARX) structuring of data before the identification. A fruitful replacement of missing values for this purpose is done by means of a static PCA model. It is shown that the different criteria used in model selection lead to the same DPCA model. In this paper all steps of the monitoring module design are explained and the performance of different models is analyzed.",

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AU - Rosen, Christian

AU - Stijn, Van Hulle

AU - Yoo, Chang Kyoo

AU - Vanrolleghem, Peter A.

PY - 2005

Y1 - 2005

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AB - The goal of this work is the development of a suitable monitoring module, which is to be the first module of an integrated fault detection and control system for the SHARON process. To model the process properly, different PCA models are tested. As a first step, PCA is used in an iterative manner to exclude data not considered to represent normal operational conditions and process behaviour from the original data set. To improve the performance of the identified model, it is decided to account for dynamics in the SHARON process by means of auto-regressive exogenous (ARX) structuring of data before the identification. A fruitful replacement of missing values for this purpose is done by means of a static PCA model. It is shown that the different criteria used in model selection lead to the same DPCA model. In this paper all steps of the monitoring module design are explained and the performance of different models is analyzed.

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KW - environmental biotechnology

KW - fault detection

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On-line dynamic monitoring of the SHARON process for sustainable nitrogen removal from wastewater

Abstract

Funding

Keywords

UN SDGs

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