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Model-based control of MF/UF filtration processes: pilot plant implementation and results
1Lehrstuhl für Prozesstechnik, RWTH Aachen University, Turmstrasse 46, 52064, Aachen, Germany. busch@lpt.rwth-aachen.de
Summary
A new model-based adaptive control approach improves membrane filtration in water treatment. This method enhances performance and reduces energy use and membrane strain by up to 50% in pilot-scale tests.
Area of Science:
- Environmental Engineering
- Chemical Engineering
- Water Treatment Technologies
Background:
- Membrane micro- and ultrafiltration are crucial for water and wastewater treatment but often use simple controls leading to suboptimal performance.
- Complex filtration mechanisms and limited data hinder advanced control strategies in these cyclic processes.
Purpose of the Study:
- To experimentally validate a model-based, adaptive run-to-run control approach for filtration processes.
- To demonstrate improvements in performance, safety, and resource efficiency for membrane bioreactors.
Main Methods:
- Implementation and experimental validation of a model-based adaptive run-to-run control strategy.
- Focus on a pilot-scale membrane bioreactor for municipal wastewater treatment with cyclic filtration and backwashing phases.
Main Results:
- The controller demonstrated excellent prediction quality, optimization results, and operational stability.
- Achieved significant savings of up to 50% in energy consumption and reduced membrane strain.
- Enhanced operational safety was observed.
Conclusions:
- The model-based adaptive control approach is effective for optimizing cyclic membrane filtration processes.
- This strategy offers substantial economic and operational benefits for water and wastewater treatment applications.
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