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Comparison of Scale in a Photosynthetic Reactor System for Algal Remediation of Wastewater

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State estimation for large-scale wastewater treatment plants.

Jan Busch¹, David Elixmann, Peter Kühl

¹AVT Process Systems Engineering, RWTH Aachen University, Germany.

|July 9, 2013

Summary

Wastewater treatment monitoring is challenging due to unmeasurable states. This study optimizes sensor networks and state estimation (Extended Kalman Filter and Moving Horizon Estimation) for improved process control.

Keywords:

ASM BSM1 EKF Moving horizon estimation State estimation Wastewater treatment

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Area of Science:

Environmental Engineering
Process Control
Systems Engineering

Background:

Wastewater treatment processes often have unmeasurable or uncertain states, hindering effective monitoring and control.
Model-based state estimation offers a solution by providing estimates of unknown states and enhancing measurement reliability.

Purpose of the Study:

To present an integrated approach for optimization-based sensor network design and state estimation.
To evaluate the performance of Extended Kalman Filter (EKF) and Moving Horizon Estimation (MHE) for wastewater treatment systems.

Main Methods:

Utilized the Activated Sludge Model 1 (ASM1) within the benchmark simulation BSM1 framework.
Employed an optimization-based approach for cost-optimal sensor network design.
Evaluated Extended Kalman Filter (EKF) and Moving Horizon Estimation (MHE) for state estimation.

Main Results:

Successfully designed a cost-optimal sensor network for a complex system with 78 states.
Achieved very good state estimation results using the designed sensor network.
Demonstrated that moderate sensor network complexity is sufficient for accurate estimation.

Conclusions:

The integrated approach effectively addresses challenges in wastewater treatment monitoring.
Optimization-based sensor network design combined with advanced estimators like EKF and MHE significantly improves state estimation accuracy.
Cost-effective and reliable process monitoring and control in wastewater treatment are achievable.