Provision of data for on-line simulation

Area of Science:

• Environmental Engineering
• Water Treatment Technologies
• Computational Modeling

Background:

• Accurate online simulation of municipal sewage treatment plants relies heavily on the quality and density of input data.
• Measured data requires pre-processing for integration into simulation models, converting raw signals into model-specific input quantities.
• Failure of individual input signals necessitates robust substitute value concepts to maintain data continuity.

Purpose of the Study:

• To investigate methods for processing inflow data for online simulation.
• To develop strategies for ensuring continuous data provision in sewage treatment plant simulations, even with signal failures.
• To implement these strategies as part of future online simulation at Wuppertal-Buchenhofen STP.

Main Methods:

• Data pre-processing techniques for converting measured signals into model-compatible input data.
• Development and application of substitute value concepts based on available data to handle signal failures.
• Implementation of data processing programs for online simulation.

Main Results:

• Established procedures for preparing and processing inflow data for online simulation.
• Demonstrated the effectiveness of substitute value concepts in ensuring continuous data flow.
• Laid the groundwork for enhanced online simulation capabilities at the Wuppertal-Buchenhofen Sewage Treatment Plant.

Conclusions:

• Effective data processing and substitute value strategies are critical for reliable online sewage treatment plant simulations.
• Continuous data provision is achievable through intelligent data handling, even in the event of sensor malfunctions.
• The Wupperverband's investigation is advancing the application of online simulation in wastewater management.