TY - JOUR
T1 - Dynamic modeling of partial nitrification in a rotating disk biofilm reactor
T2 - Calibration, validation and simulation
AU - Huiliñir, César
AU - Romero, Rodrigo
AU - Muñoz, Carlos
AU - Bornhardt, Christian
AU - Roeckel, Marlene
AU - Antileo, Christian
PY - 2010/10
Y1 - 2010/10
N2 - Partial nitrification to nitrite saves oxygen and organic matter. A dynamic model of a rotating disk biofilm reactor was developed in order to determine optimal operation conditions for partial nitrification. The biofilm model considered the active biomass fraction as a state variable; it was calibrated at steady state using the adjustment of two parameters - μmax,AOB (1.32d-1) and kL (0.44mh-1) and validated with long-term experiments. The experimental data were attained running the reactor in continuously and in batch modes for more than 700 days at different pH values, oxygen concentrations and nitrogen load rates (NLRs). A good agreement between the measured and modeled results was obtained with a Theil inequality coefficient lower than 0.3 for both calibration and validation. The model predicts that the active biomass fraction does not reach steady-state before 40 operating days, and the active nitrite-oxidizing bacteria fraction is much more sensitive than the ammonia-oxidizing bacteria fraction to the pH. Results demonstrated that nitrite accumulation (β) is strongly influenced by the NLR and the pH. The optimal operation zone for β>70% is reached for NLRs between 8.5 and 11.5gNm-2d-1, pH>8 and dissolved oxygen concentration <3mgO2L-1.
AB - Partial nitrification to nitrite saves oxygen and organic matter. A dynamic model of a rotating disk biofilm reactor was developed in order to determine optimal operation conditions for partial nitrification. The biofilm model considered the active biomass fraction as a state variable; it was calibrated at steady state using the adjustment of two parameters - μmax,AOB (1.32d-1) and kL (0.44mh-1) and validated with long-term experiments. The experimental data were attained running the reactor in continuously and in batch modes for more than 700 days at different pH values, oxygen concentrations and nitrogen load rates (NLRs). A good agreement between the measured and modeled results was obtained with a Theil inequality coefficient lower than 0.3 for both calibration and validation. The model predicts that the active biomass fraction does not reach steady-state before 40 operating days, and the active nitrite-oxidizing bacteria fraction is much more sensitive than the ammonia-oxidizing bacteria fraction to the pH. Results demonstrated that nitrite accumulation (β) is strongly influenced by the NLR and the pH. The optimal operation zone for β>70% is reached for NLRs between 8.5 and 11.5gNm-2d-1, pH>8 and dissolved oxygen concentration <3mgO2L-1.
KW - Biofilm
KW - Modeling
KW - Nitrite accumulation
KW - Partial nitrification
KW - RBC
UR - http://www.scopus.com/inward/record.url?scp=77956267056&partnerID=8YFLogxK
U2 - 10.1016/j.bej.2010.06.012
DO - 10.1016/j.bej.2010.06.012
M3 - Article
AN - SCOPUS:77956267056
SN - 1369-703X
VL - 52
SP - 7
EP - 18
JO - Biochemical Engineering Journal
JF - Biochemical Engineering Journal
IS - 1
ER -