DEVELOPMENT AND IMPLEMENTATION OF AN EXPERT SYSTEM TO IMPROVE THE CONTROL OF NITRIFICATION AND DENITRIFICATION IN THE VIC WASTEWATER TREATMENT PLANT

Abstract Wastewater treatment plants employ various physical, chemical and biological processes to reduce pollutants from raw wastewater. One of the most important is the biological nitrogen removal process through nitrification and denitrification steps taking place in various sections of the biological reactor. One of the most extensively used configurations to achieve the biological nitrogen removal is an activated sludge system using oxidation ditch or extended aeration. To improve nitrogen removal in the wastewater treatment plant (WWTP) of Vic (Catalonia, NE Spain), the automatic aeration control system was complemented with an Expert System to always provide the most appropriate aeration or anoxia sequence based on the values of ammonium and nitrates given by an automatic analyzer. This article illustrates the development and implementation of this knowledge‐based system within the framework of a Decision Support System, which performs SCADA functions. The paper also shows that the application of the decision support system in the Vic WWTP resulted in significant improvements to the biological nitrogen removal.

[1]  Miquel Sànchez-Marrè,et al.  Designing and building real environmental decision support systems , 2004, Environ. Model. Softw..

[2]  Gösta Ladiges,et al.  Application and experience with expert systems for the operation of waste water treatment plants , 1996 .

[3]  Marinus K. Nielsen,et al.  Load dependent control of BNR-WWTP by dynamic changes of aeration volumes , 1998 .

[4]  P. Bishop,et al.  Oxidation-reduction potential (ORP) regulation of nutrient removal in activated sludge wastewater treatment plants. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.

[5]  B Carlsson,et al.  Control of the aeration volume in an activated sludge process for nitrogen removal. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.

[6]  Gustaf Olsson,et al.  Instrumentation, Control and Automation in Wastewater Systems , 2015 .

[7]  P Grau,et al.  Supervisory control strategies for the new WWTP of Galindo-Bilbao: the long run from the conceptual design to the full-scale experimental validation. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[8]  Juan A. Baeza,et al.  Knowledge-based supervision and control of wastewater treatment plant: a real-time implementation , 2000 .

[9]  Raimund Haberl,et al.  Development of a new system for control and optimization of small wastewater treatment plants using oxidation-reduction potential (ORP) , 1998 .

[10]  D Cecil,et al.  Controlling nitrogen removal using redox and ammonium sensors. , 2003, Water science and technology : a journal of the International Association on Water Pollution Research.