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Updated: Jul 2, 2025
11:58
Waste Water Derived Electroactive Microbial Biofilms: Growth, Maintenance, and Basic Characterization
Published on: December 29, 2013
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Dynamic Modelling, Process Control, and Monitoring of Selected Biological and Advanced Oxidation Processes for
Zahra Parsa1, Ramdhane Dhib1, Mehrab Mehrvar1
1Department of Chemical Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada.
Bioengineering (Basel, Switzerland)
|February 23, 2024
Summary
Effective control strategies are crucial for biological and advanced oxidation process (AOP) wastewater treatment systems. Understanding process dynamics ensures regulatory compliance and minimizes operational costs for wastewater treatment plants (WWTPs).
Area of Science:
- Environmental Engineering
- Chemical Engineering
- Process Control
Background:
- Wastewater treatment systems require robust control strategies to meet environmental regulations and economic constraints.
- Biological and advanced oxidation processes (AOPs) present unique challenges in process control due to their complex dynamics.
Purpose of the Study:
- To review and emphasize the formulation of control strategies for biological and AOP wastewater treatment.
- To ensure continuous effluent quality compliance and minimize operational costs.
- To highlight the importance of understanding process dynamics for effective control scheme development.
Main Methods:
- Review of common process control strategies used in wastewater treatment plants (WWTPs).
- Analysis of challenges in wastewater treatment process control, including model limitations and data requirements.
- Discussion on the role of real-time data acquisition through hardware or soft sensors.
Main Results:
- Common control strategies for WWTPs are identified and explained.
- Key challenges such as model inadequacies, simulation limitations, real-time data needs, and hardware implementation complexities are discussed.
- The necessity of real-time data for reliable control is confirmed, achievable via sensors or soft sensors.
Conclusions:
- Control scheme selection must align with process dynamics and control objectives.
- Further research is recommended on actuators and selection criteria for robust control in biological and AOP systems.
- Implementing advanced control requires addressing financial and technical intricacies.
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