Supervisory control system to enhance partial nitrification in an activated sludge reactor
| Autor: | Oscar Candia, Laura Azócar, Carlos Muñoz, C. Bornhardt, Daniel Aracena Rojas, Christian Antileo |
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| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
General Chemical Engineering
Environmental engineering General Chemistry Industrial and Manufacturing Engineering chemistry.chemical_compound Activated sludge chemistry Supervisory control Environmental Chemistry Process control Nitrification Sewage treatment Ammonium Steady state (chemistry) Nitrite |
| Zdroj: | CHEMICAL ENGINEERING JOURNAL Artículos CONICYT CONICYT Chile instacron:CONICYT |
| Popis: | This work proposes a supervisory control system based on an optimization layer to calculate the optimum pH and dissolved oxygen (DO) set-points for the SISO controller, maintaining the process at stable partial nitrification. Takagi–Sugeno fuzzy multimodels were implemented to estimate ammonium degradation and nitrite accumulation from on-line DO and pH values, and updated using off-line measurements. An activated sludge reactor was operated successfully over 115 consecutive days with the supervisory control system, achieving ammonium degradation and nitrite accumulation values higher than 95% and 80%, respectively. The on-line estimates of the multimodels showed a prediction error of less than 7% at steady state operation, and reflected the tendencies shown in experiment to be caused by changes in pH value and DO concentration. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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