Key Components of Digitalization in WWTPs

Data Analytics and AI-driven Process Control

• AI and ML optimize treatment processes and reduce energy consumption.
• Predictive analytics identify potential failures and inefficiencies.

Model-based Process Optimization

• Digital twins enable simulation and optimization of operations.
• MPC and RL techniques improve aeration, sludge management, and dosing.

Automation and Smart Control Systems

• SCADA systems automate pumps, aerators, and other processes.
• APC strategies enhance stability and reduce costs.

Energy and Resource Recovery Optimization

• Digital tools optimize biogas production and energy efficiency.
• AI-based monitoring ensures efficient nutrient recovery and water reuse.

The key benefits of Digitalization in WWTPs include
(i) Improved Process Efficiency
(ii) Cost Reduction
(iii) Enhanced Compliance
(iv) Resilience and Sustainability.
The integration of digitalization with concepts like Industry 4.0, Smart Cities, and Circular Economy will further transform wastewater treatment, making it more intelligent, sustainable, and resource- efficient.

In this workshop, some of the above topics will be discussed. The course will introduce participants the approaches and tools for the mathematical modeling and control of WWTP and will provide hands-on experience with simulation software WEST/GPS-X and model- based design, optimization and control of WWTP. Prof. Peter Vanrolleghem from University of Laval, Canada who is a leading researcher with extensively recognized expertise in teaching, consultancy, research, and training in the field of WWTP, modelling, machine learning, dynamic optimization and control will deliver most of the lectures.