Abstract
This study aimed at testing a mathematical model for an industrial WWTP. This model was developed in a previous study. The characterisation of the influent wastewater was repeated and results revealed that the composition of the wastewater was somewhat changed compared to the previous study. In order to account for varying wastewater composition in the future, the influence of this composition on the effluent concentration was calculated based on relative sensitivity functions. This calculation revealed that the effluent COD concentration is most affected by the inert COD fraction in the influent and that the effluent ammonium concentration is most affected by the biodegradable COD fraction in the influent. As such experimental efforts can be conducted towards determination of the fraction that is most influential on the required result. The model was further evaluated with new data. It could be shown that agreement between simulated and measured data was very good and that no model recalibration or extension will be necessary. As such the industrial WWTP model passed the model evaluation test. In the future this model will be used for potential further upgrades.
Highlights
Several studies, both theoretical and experimental, have already proven that mathematical modelling of wastewater treatment processes is an elegant and cost-effective tool to study and optimise these treatment processes
In order to assess the necessity of performing another influent characterisation in a further study, the influence of the different COD fractions on the effluent COD, ammonium and nitrate concentration was assessed based on relative sensitivity functions (RSF): RSF
This study aimed at testing a mathematical model for an industrial wastewater treatment plant (WWTP)
Summary
Both theoretical and experimental, have already proven that mathematical modelling of wastewater treatment processes is an elegant and cost-effective tool to study and optimise these treatment processes. In the last 30 years relatively reliable dynamic simulation models for the activated sludge process, including biological N and/or P removal Stricker and Racault (2005), for example, used a WWTP model to optimise an aerobic biological treatment system for winery effluents. Salem et al (2002) evaluated different alternatives for the upgrade of a biological nitrogen removal plant with a model. Horan and Chen (1998) used an ASM1 model (Henze et al, 2000) to optimise a fullscale activated sludge plant, treating a high-strength pulp and paper mill effluent. Artan et al (2002) assessed the performance of sequencing batch reactors for simultaneous nitrogen and phosphorus removal is evaluated by means of model simulations using the ASM2d activated sludge model (Henze et al, 2000) Horan and Chen (1998) used an ASM1 model (Henze et al, 2000) to optimise a fullscale activated sludge plant, treating a high-strength pulp and paper mill effluent. Artan et al (2002) assessed the performance of sequencing batch reactors for simultaneous nitrogen and phosphorus removal is evaluated by means of model simulations using the ASM2d activated sludge model (Henze et al, 2000)
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