Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
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Modelling High‐temperature EBPR by Incorporating Glycogen and GAOs: Challenges from a Preliminary Study
Recently reported kinetic and stoichiometric parameters of the Activated Sludge Model no. 2d (ASM2d) for high‐temperature EBPR processes suggested that the absence of glycogen in the model contributed to underestimation of PHA accumulation at 32 °C. Here, two modified ASM2d models were used to further explore the contribution of glycogen in the process. The ASM2d‐1G model incorporated glycogen metabolism by PAOs (polyphosphate‐accumulating organisms), while the ASM2d‐2G model further included processes by GAOs (glycogen‐accumulating organisms). These models were calibrated and validated using experimental data at 32 °C. The ASM2d‐1G model supported the hypothesis that the excess PHA was attributed to glycogen, but remained inadequate to capture the dynamics of glycogen without considering GAOs activities. The ASM2d‐2G model performed better, but it was challenging to calibrate as it often led to wash‐out of either PAOs or GAOs. Associated hurdles are highlighted and additional efforts in calibrating ASM2d‐2G more effectively are proposed.
Modelling High‐temperature EBPR by Incorporating Glycogen and GAOs: Challenges from a Preliminary Study
Recently reported kinetic and stoichiometric parameters of the Activated Sludge Model no. 2d (ASM2d) for high‐temperature EBPR processes suggested that the absence of glycogen in the model contributed to underestimation of PHA accumulation at 32 °C. Here, two modified ASM2d models were used to further explore the contribution of glycogen in the process. The ASM2d‐1G model incorporated glycogen metabolism by PAOs (polyphosphate‐accumulating organisms), while the ASM2d‐2G model further included processes by GAOs (glycogen‐accumulating organisms). These models were calibrated and validated using experimental data at 32 °C. The ASM2d‐1G model supported the hypothesis that the excess PHA was attributed to glycogen, but remained inadequate to capture the dynamics of glycogen without considering GAOs activities. The ASM2d‐2G model performed better, but it was challenging to calibrate as it often led to wash‐out of either PAOs or GAOs. Associated hurdles are highlighted and additional efforts in calibrating ASM2d‐2G more effectively are proposed.
Modelling High‐temperature EBPR by Incorporating Glycogen and GAOs: Challenges from a Preliminary Study
Liau, Kee Fui (Autor:in) / Yeoh, Hak Koon (Autor:in) / Shoji, Tadashi (Autor:in) / Chua, Adeline Seak May (Autor:in) / Ho, Pei Yee (Autor:in)
Water Environment Research ; 89 ; 62-72
01.01.2017
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
| British Library Conference Proceedings | 2003