Adaptive model based control for wastewater treatment plants

Arie de Niet; Noëlle Maria van de Vrugt; Hans Korving; Richardus J. Boucherie

Adaptive model based control for wastewater treatment plants

Arie de Niet
, Noëlle Maria van de Vrugt
, Hans Korving
, Richardus J. Boucherie

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

334 Downloads (Pure)

Abstract

In biological wastewater treatment, nitrogen and phosphorous are removed by activated sludge. The process requires oxygen input via aeration of the activated sludge tank. Aeration is responsible for about 60% of the energy consumption of a treatment plant. Hence optimization of aeration can contribute considerably to the increase of energy-efficiency in wastewater treatment. To this end, we introduce an adaptive model based control strategy for aeration called adaptive WOMBAT. The strategy is an improvement of the original WOMBAT, which has been successfully implemented at wastewater treatment plant Westpoort in Amsterdam. In this paper we propose to improve the physics-based model by introducing automatic parameter adaptation. In an experimental model setup the adaptive model based control algorithm proves to result in better effluent quality with less energy consumption. Moreover, it is able to react to the varying circumstances of a real treatment plant and can, therefore, operate without human supervision.

Original language	Undefined
Title of host publication	Urban Water Management: Callenges and Opportunities. Proceedings of the Eleventh International Conference on Computing and Control for the Water Industry (CCWI 2011)
Editors	D.A. Savic, Z. Kapelan, D. Butler
Place of Publication	Exeter
Publisher	Exeter University
Pages	683-688
Number of pages	6
ISBN (Print)	0-9539140-8-9
Publication status	Published - 2011
Event	Eleventh International Conference on Computing and Control for the Water Industry, CCWI 2011 - Exeter, UK Duration: 5 Sept 2011 → 7 Sept 2011

Publication series

Name
Publisher	Exeter University

Conference

Conference	Eleventh International Conference on Computing and Control for the Water Industry, CCWI 2011
Period	5/09/11 → 7/09/11
Other	5-7 September 2011

UN SDGs

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

SDG 6 Clean Water and Sanitation
SDG 7 Affordable and Clean Energy

Keywords

METIS-281532
Model based control
Adaptive control
Aeration
EWI-20495
Optimization
Wastewater treatment
Energy Efficiency
IR-78387

Access to Document

Cite this

de Niet, A., van de Vrugt, N. M., Korving, H., & Boucherie, R. J. (2011). Adaptive model based control for wastewater treatment plants. In D. A. Savic, Z. Kapelan, & D. Butler (Eds.), Urban Water Management: Callenges and Opportunities. Proceedings of the Eleventh International Conference on Computing and Control for the Water Industry (CCWI 2011) (pp. 683-688). Exeter University.

de Niet, Arie ; van de Vrugt, Noëlle Maria ; Korving, Hans et al. / Adaptive model based control for wastewater treatment plants. Urban Water Management: Callenges and Opportunities. Proceedings of the Eleventh International Conference on Computing and Control for the Water Industry (CCWI 2011). editor / D.A. Savic ; Z. Kapelan ; D. Butler. Exeter : Exeter University, 2011. pp. 683-688

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title = "Adaptive model based control for wastewater treatment plants",

abstract = "In biological wastewater treatment, nitrogen and phosphorous are removed by activated sludge. The process requires oxygen input via aeration of the activated sludge tank. Aeration is responsible for about 60\% of the energy consumption of a treatment plant. Hence optimization of aeration can contribute considerably to the increase of energy-efficiency in wastewater treatment. To this end, we introduce an adaptive model based control strategy for aeration called adaptive WOMBAT. The strategy is an improvement of the original WOMBAT, which has been successfully implemented at wastewater treatment plant Westpoort in Amsterdam. In this paper we propose to improve the physics-based model by introducing automatic parameter adaptation. In an experimental model setup the adaptive model based control algorithm proves to result in better effluent quality with less energy consumption. Moreover, it is able to react to the varying circumstances of a real treatment plant and can, therefore, operate without human supervision.",

keywords = "METIS-281532, Model based control, Adaptive control, Aeration, EWI-20495, Optimization, Wastewater treatment, Energy Efficiency, IR-78387",

author = "\{de Niet\}, Arie and \{van de Vrugt\}, \{No{\"e}lle Maria\} and Hans Korving and Boucherie, \{Richardus J.\}",

note = "ISBN Amazon 978-0953914074 ; Eleventh International Conference on Computing and Control for the Water Industry, CCWI 2011 ; Conference date: 05-09-2011 Through 07-09-2011",

year = "2011",

language = "Undefined",

isbn = "0-9539140-8-9",

publisher = "Exeter University",

pages = "683--688",

editor = "D.A. Savic and Z. Kapelan and D. Butler",

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de Niet, A, van de Vrugt, NM, Korving, H & Boucherie, RJ 2011, Adaptive model based control for wastewater treatment plants. in DA Savic, Z Kapelan & D Butler (eds), Urban Water Management: Callenges and Opportunities. Proceedings of the Eleventh International Conference on Computing and Control for the Water Industry (CCWI 2011). Exeter University, Exeter, pp. 683-688, Eleventh International Conference on Computing and Control for the Water Industry, CCWI 2011, 5/09/11.

Adaptive model based control for wastewater treatment plants. / de Niet, Arie; van de Vrugt, Noëlle Maria; Korving, Hans et al.
Urban Water Management: Callenges and Opportunities. Proceedings of the Eleventh International Conference on Computing and Control for the Water Industry (CCWI 2011). ed. / D.A. Savic; Z. Kapelan; D. Butler. Exeter: Exeter University, 2011. p. 683-688.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Adaptive model based control for wastewater treatment plants

AU - de Niet, Arie

AU - van de Vrugt, Noëlle Maria

AU - Korving, Hans

AU - Boucherie, Richardus J.

N1 - ISBN Amazon 978-0953914074

PY - 2011

Y1 - 2011

N2 - In biological wastewater treatment, nitrogen and phosphorous are removed by activated sludge. The process requires oxygen input via aeration of the activated sludge tank. Aeration is responsible for about 60% of the energy consumption of a treatment plant. Hence optimization of aeration can contribute considerably to the increase of energy-efficiency in wastewater treatment. To this end, we introduce an adaptive model based control strategy for aeration called adaptive WOMBAT. The strategy is an improvement of the original WOMBAT, which has been successfully implemented at wastewater treatment plant Westpoort in Amsterdam. In this paper we propose to improve the physics-based model by introducing automatic parameter adaptation. In an experimental model setup the adaptive model based control algorithm proves to result in better effluent quality with less energy consumption. Moreover, it is able to react to the varying circumstances of a real treatment plant and can, therefore, operate without human supervision.

AB - In biological wastewater treatment, nitrogen and phosphorous are removed by activated sludge. The process requires oxygen input via aeration of the activated sludge tank. Aeration is responsible for about 60% of the energy consumption of a treatment plant. Hence optimization of aeration can contribute considerably to the increase of energy-efficiency in wastewater treatment. To this end, we introduce an adaptive model based control strategy for aeration called adaptive WOMBAT. The strategy is an improvement of the original WOMBAT, which has been successfully implemented at wastewater treatment plant Westpoort in Amsterdam. In this paper we propose to improve the physics-based model by introducing automatic parameter adaptation. In an experimental model setup the adaptive model based control algorithm proves to result in better effluent quality with less energy consumption. Moreover, it is able to react to the varying circumstances of a real treatment plant and can, therefore, operate without human supervision.

KW - METIS-281532

KW - Model based control

KW - Adaptive control

KW - Aeration

KW - EWI-20495

KW - Optimization

KW - Wastewater treatment

KW - Energy Efficiency

KW - IR-78387

M3 - Conference contribution

SN - 0-9539140-8-9

SP - 683

EP - 688

BT - Urban Water Management: Callenges and Opportunities. Proceedings of the Eleventh International Conference on Computing and Control for the Water Industry (CCWI 2011)

A2 - Savic, D.A.

A2 - Kapelan, Z.

A2 - Butler, D.

PB - Exeter University

CY - Exeter

T2 - Eleventh International Conference on Computing and Control for the Water Industry, CCWI 2011

Y2 - 5 September 2011 through 7 September 2011

ER -