In this study, performances of a SBR-MBBR in terms of COD, TN removal efficiency and sludge production were compared to that of an A/O-MBBR. The SBR-MBBR (40% filling ratio) at 24, 18 and 12 h HRT had a COD and TN removal efficiencies of 88 and 75%, 92 and 72%, 90 and 47%. Increasing the filling ratio to 60% with 12 h HRT, the COD and TN removal efficiencies raised to 93% and 66%, respectively. Thus, increasing the filling ratio of the MBBR the TN removal was improved. The A/O-MBBR configuration achieved a COD and TN removal effi- ciencies, respectively, of 85% and 72%. This configuration obtained the highest sludge yield due to an increase of the sludge production. Nitrification and denitrification activity tests, performed on attached and suspended biomass, revealed a specialization of the microbial community with the suspended biomass responsible for the denitrification process while the attached biomass for the nitrification. Moreover, a mathematical model consisting of a system of impulsive ordinary differential equations was developed to simulate the SBR-MBBR process. The mathematical model was successfully calibrated and vali- dated through the collected experimental data, resulting in a suitable tool for process efficiency prediction and optimization of operational process conditions.

Process performance optimization and mathematical modelling of a SBR-MBBR treatment at low oxygen concentration / Ferrentino, Roberta; Ferraro, Alberto; Mattei, Maria Rosaria; Esposito, Giovanni; Andreottola, Gianni. - In: PROCESS BIOCHEMISTRY. - ISSN 1359-5113. - 75:(2018), pp. 230-239. [10.1016/j.procbio.2018.08.023]

Process performance optimization and mathematical modelling of a SBR-MBBR treatment at low oxygen concentration

Ferrentino, Roberta;Andreottola, Gianni
2018-01-01

Abstract

In this study, performances of a SBR-MBBR in terms of COD, TN removal efficiency and sludge production were compared to that of an A/O-MBBR. The SBR-MBBR (40% filling ratio) at 24, 18 and 12 h HRT had a COD and TN removal efficiencies of 88 and 75%, 92 and 72%, 90 and 47%. Increasing the filling ratio to 60% with 12 h HRT, the COD and TN removal efficiencies raised to 93% and 66%, respectively. Thus, increasing the filling ratio of the MBBR the TN removal was improved. The A/O-MBBR configuration achieved a COD and TN removal effi- ciencies, respectively, of 85% and 72%. This configuration obtained the highest sludge yield due to an increase of the sludge production. Nitrification and denitrification activity tests, performed on attached and suspended biomass, revealed a specialization of the microbial community with the suspended biomass responsible for the denitrification process while the attached biomass for the nitrification. Moreover, a mathematical model consisting of a system of impulsive ordinary differential equations was developed to simulate the SBR-MBBR process. The mathematical model was successfully calibrated and vali- dated through the collected experimental data, resulting in a suitable tool for process efficiency prediction and optimization of operational process conditions.
2018
Ferrentino, Roberta; Ferraro, Alberto; Mattei, Maria Rosaria; Esposito, Giovanni; Andreottola, Gianni
Process performance optimization and mathematical modelling of a SBR-MBBR treatment at low oxygen concentration / Ferrentino, Roberta; Ferraro, Alberto; Mattei, Maria Rosaria; Esposito, Giovanni; Andreottola, Gianni. - In: PROCESS BIOCHEMISTRY. - ISSN 1359-5113. - 75:(2018), pp. 230-239. [10.1016/j.procbio.2018.08.023]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/221070
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