Extensions to modeling aerobic carbon degradation using combined respirometric–titrimetric measurements in view of activated sludge model calibration

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• 作者：Gü ; rkan Sin ; Peter A. Vanrolleghem
• 关键词：ASM ; Carbon degradation ; Calibration ; Identifiability ; Modeling ; Titrimetry ; Respirometry
• 刊名：Water Research
• 出版年：2007
• 期刊代码：57_00431354
• 类别：civ
• 出版时间：August 2007
• 卷：41
• 期：15
• 页码：3345-3358
• 文件大小：462 K

摘要

Recently a model was introduced to interpret the respirometric (OUR) –titrimetric (Hp) data obtained from aerobic oxidation of different carbon sources in view of calibration of Activated Sludge Model No.1 (ASM1). The model requires, among others, the carbon dioxide transfer rate (CTR) to be relatively constant during aerobic experiments. As CTR is an inherently nonlinear process, this assumption may not hold for certain experimental conditions. Hence, we extended the model to describe the nonlinear CTR behavior. A simple calibration procedure of the CO₂ model was developed only using titrimetric data. The identifiable parameter subset of this model when using titrimetric data only contained the first equilibrium constant of the CO₂ dissociation, HMH3-1&_mathId=mml163&_user=10&_cdi=5831&_rdoc=18&_acct=C000050221&_version=1&_userid=10&md5=9a6431726cc29fe4451b8dd298e4e6af" title="Click to view the MathML source">pK₁, the initial aqueous CO₂ concentration, 3d6dfbff46f8bb02b860113d30089" title="Click to view the MathML source">C_Tinit and the nitrogen content of biomass, i_NBM. The extended model was then successfully applied to interpret typical data obtained from respirometric–titrimetric measurements with a nonlinear CO₂ stripping process. The parameter estimation results using titrimetric data were consistent with the results estimated using respirometric data (OUR) alone or combined OUR and Hp data, thereby supporting the validity of the dynamic CO₂ model and its calibration approach. The increased range of applicability and accurate utilization of the titrimetric data are expected to contribute particularly to the improvement of calibration of ASM models using batch experiments.