Identification of Biokinetic Models Using the Concept of Extents

Area of Science:

• Environmental biotechnology
• Process engineering
• Mathematical modeling

Background:

• Growing demand for predictive capabilities in wastewater treatment, driven by the shift to resource recovery systems.
• Complexity of biological wastewater treatment processes hinders the development of reliable mathematical models.
• Current modeling approaches are often cumbersome and time-consuming.

Purpose of the Study:

• To introduce and explore extent-based modeling as a method to simplify dynamic process modeling in environmental biotechnology.
• To enhance the extent-based modeling strategy by incorporating nonlinear algebraic equilibria and measurement equations.
• To demonstrate the benefits and potential for automation of extent-based modeling.

Main Methods:

• Adoption and exploration of extent-based modeling for dynamic process simulation.
• Integration of optimal accounting for nonlinear algebraic equilibria.
• Inclusion of nonlinear measurement equations within the extent-based framework.

Main Results:

• Demonstration of extent-based modeling as a viable approach to simplify complex wastewater treatment models.
• Successful enhancement of the modeling strategy with nonlinear algebraic and measurement equations.
• Identification of significant benefits in streamlining the modeling process.

Conclusions:

• Extent-based modeling offers a powerful and simplified approach to dynamic process modeling in environmental biotechnology.
• This method has the potential to significantly automate environmental process modeling tasks.
• The findings support the transition towards more efficient and predictive resource recovery systems.