Adaptive model based control for wastewater treatment plants

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

118 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 languageUndefined
Title of host publicationUrban Water Management: Callenges and Opportunities. Proceedings of the Eleventh International Conference on Computing and Control for the Water Industry (CCWI 2011)
EditorsD.A. Savic, Z. Kapelan, D. Butler
Place of PublicationExeter
PublisherExeter University
Pages683-688
Number of pages6
ISBN (Print)0-9539140-8-9
Publication statusPublished - 2011

Publication series

Name
PublisherExeter University

Keywords

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

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: Exeter University.
de Niet, Arie ; van de Vrugt, Noëlle Maria ; Korving, Hans ; Boucherie, Richardus J. / 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
@inproceedings{b2f470b2dad44915aca2fc998f0ec777,
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",
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",
booktitle = "Urban Water Management: Callenges and Opportunities. Proceedings of the Eleventh International Conference on Computing and Control for the Water Industry (CCWI 2011)",

}

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.

Adaptive model based control for wastewater treatment plants. / de Niet, Arie; van de Vrugt, Noëlle Maria; Korving, Hans; Boucherie, Richardus J.

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 proceedingConference contributionAcademicpeer-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

ER -

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