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Dynamical simulation of WWTP's using STOAT

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The beauty of rivers and lakes

The dynamical simulation of wastewater treatment facilities is a wide field covering numerous aspects. Our homepage is intended to ease your entry into this area and give you an overview of the possibilities of STOAT.

«STOAT» stems from English and stands for «Sewage Treatment Operation Analysis over Time»

Besides examples from actual use, explanations of required input data for computations and background information regarding the use of the models you will find here many helpful hints on working with STOAT.
The following table contains a "map" of currently available information.

Dynamical simulation of WWTP's – what's the sense of doing this? STOAT usage examples Dynamical simulation of WWTP's – why?
Achievable quality of simulation	Examination, whether a wastewater treatment facility can accomodate an additional flow stream highly loaded with NH₄-N	Control of balancing tanks
Investigations into possible improvements of pre-treatment of a flow stream entering an industrial wastewater treatment facility	Determination of the maximal COD treatment capacity of a wastewater treatment facility	Energy savings/ Optimization of aeration
General approach, first steps Assistance in starting dynamic simulation of WWTP's using STOAT
Which input is required	General approach to simulation of WWTP's	What you should know about «Activated Sludge Models»
Fractionating of COD	Models, runs and results – STOAT «Works level», «Run level» und «Report level»	STOAT “bits” («Processes toolbox») design of a work
Further advises based on practice (still under construction) Practical tips for using STOAT
Recommendations for the generation of input files for flow streams Fraktionating of C, N, P use of Excel makros	Recommendations for the generation of input files for modelling the operation of a facility use of «Parameter setters» use of Excel makros	Editing of input data for scenario analyses
Recommendations for balancing and calibrating suspended solids	Modification of an existing model using the «build» menu	Use of the «Link processes» and «Batch run» tools
Use of the «Sensitivity analysis» tool	Use of the «Calibration» tool	Influence of changes within the «Sewage calibration data» on the performance of the “bit” «Activated sludge aeration tank» in «ASM#1» and «ASM#3»
Considering substances inhibiting biological processes	Customizing display of simulation results (for example display of thresholds, limits, comments etc.)	Suggestions on coping with massive amounts of data

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