Performance of an autotrophic nitrogen removing reactor: Diagnosis through fuzzy logic

Anna Katrine Vangsgaard, Miguel Mauricio Iglesias, Ayten Gizem Mutlu, Krist Gernaey, Barth F. Smets, Gürkan Sin

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

Abstract

Autotrophic nitrogen removal through nitritation-anammox in one stage SBRs is an energy and cost efficient alternative to conventional treatment methods. Intensification of an already complex biological system challenges our ability to observe, understand, diagnose, and control the system. A fuzzy logic diagnosis tool was developed, utilizing stoichiometric and concentration ratio measurements and removal efficiencies, along with rules derived from process knowledge. The tool could accurately determine the overall performance of the system and can therefore serve as a powerful tool to provide input for future control applications.
Original languageEnglish
Publication date2013
Number of pages5
Publication statusPublished - 2013
Event11th IWA conference on instrumentation control and automation - Narbonne, France
Duration: 18 Sep 201320 Sep 2013
http://www1.montpellier.inra.fr/ica2013/

Conference

Conference11th IWA conference on instrumentation control and automation
Country/TerritoryFrance
CityNarbonne
Period18/09/201320/09/2013
Internet address

Keywords

  • Fuzzy logic
  • System diagnosis
  • Biological wastewater treatment
  • Nitrogen conversion

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