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Carbon dosage control for predenitrification processes

  • Zhiguo Yuan
  • , Herwig Bogaert
  • , Peter Vanrolleghem
  • , Chris Thoeye
  • , Ghislain Vansteenkiste
  • , Willy Verstraete

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

The external carbon dosage control for predenitrification processes is studied. The proposed strategy is to control the nitrate concentration in the anoxic zone at a low set-point. A model-based analysis of the denitrification process reveals that the optimal set-point for the nitrate concentration in the anoxic zone is about I mg.I-1. Three control laws are designed to control the anoxic zone nitrate concentration at its set-point for different measurement conditions. An effort is made in all the designs to make the control system as simple as possible. This includes the usage of simple control laws and few sensors, which reduces the implementation and maintenance cost of the control system. The analyses and designs are validated by simulation and experimental studies on a full scale plant.
Original languageEnglish
Title of host publicationECC 1997 - European Control Conference
PublisherIEEE
Pages3240-3245
ISBN (Print)9783952426906
DOIs
Publication statusPublished - 8 Apr 1997
Externally publishedYes
Event4th European Control Conference, ECC 1997 - Brussels, Belgium
Duration: 1 Jul 19974 Jul 1997

Conference

Conference4th European Control Conference, ECC 1997
PlaceBelgium
CityBrussels
Period1/07/974/07/97

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

The authors thank Aquafin (Aartselaar, Belgium) and Severn Trent Water (Birmingham, United Kingdom) for financing this research and Regine Dhaene for her assistance.

Research Keywords

  • Delay systems pid control
  • Industry day
  • Nonlinear dynamics

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