z-logo
Premium
An integrated metabolic model for the aerobic and denitrifying biological phosphorus removal
Author(s) -
Murnleitner E.,
Kuba T.,
van Loosdrecht M. C. M.,
Heijnen J. J.
Publication year - 1997
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/(sici)1097-0290(19970605)54:5<434::aid-bit4>3.0.co;2-f
Subject(s) - denitrifying bacteria , phosphorus , denitrification , anaerobic exercise , nitrate , chemistry , electron acceptor , enhanced biological phosphorus removal , environmental chemistry , environmental engineering , environmental science , biochemistry , nitrogen , organic chemistry , biology , wastewater , activated sludge , physiology
In this work, an integrated metabolic model for biological phosphorus removal is presented. Using a previously proposed mathematical model it was shown to be possible to describe the two known biological phosphorus removal processes, under aerobic and denitrifying conditions, with the same biochemical reactions, where only the difference in electron acceptor (oxygen and nitrate) is taken into account. Though, apart from the ATP/NADH ratio, the stoichiometry in those models is identical, different kinetic parameters were found. Therefore, a new kinetic structure is proposed that adequately describes phosphorus removal under denitrifying and aerobic conditions with the same kinetic equations and parameters. The ATP/NADH ratio (δ) is the only model parameter that is different for aerobic and denitrifying growth. With the new model, simulations of anaerobic/aerobic and anaerobic/denitrifying sequencing batch reactors (A 2 SBR and A/O SBR) were made for verification of the model. Not only short‐term behavior, but also steady state, was simulated. The results showed very good agreement between model predictions and experimental results for a wide range of dynamic conditions and sludge retention times. Sensitivity analysis shows the influence of the model parameters and the feed substrate concentrations on both systems. © 1997 John Wiley & Sons, Inc. Biotechnol Bioeng 54: 434–450, 1997.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here