A framework for good biofilm reactor modeling practice (GBRMP).

Area of Science:

• Environmental Engineering
• Biotechnology
• Chemical Engineering

Background:

• Biofilm models are crucial for understanding and optimizing biofilm processes.
• A variety of biofilm modeling platforms exist, but clear guidance on application is lacking.
• Choosing the simplest effective model, often one-dimensional, is recommended.

Purpose of the Study:

• To present a structured framework for effective biofilm reactor modeling.
• To provide guidance for obtaining accurate and meaningful results from biofilm models.
• To enhance the practical application of biofilm modeling in research and industry.

Main Methods:

• Development of a five-step framework for good biofilm reactor modeling practice (GBRMP).
• Steps include system information gathering, influent characterization, model selection, process definition, and calibration/validation.
• Emphasis on understanding system components and processes throughout modeling.

Main Results:

• The proposed GBRMP framework guides users through essential steps for successful biofilm modeling.
• Calibration and validation involve iterative adjustment of system-specific parameters within realistic ranges.
• Successful completion of the framework yields a reliable model for optimization and troubleshooting.

Conclusions:

• The GBRMP framework facilitates accurate and meaningful biofilm process modeling.
• Effective modeling requires a deep understanding of the biofilm system and its components.
• The framework supports optimizing performance, troubleshooting issues, and gaining insights into process controls.