Effect of drying on biofilter performance: modeling and experimental approach

Area of Science:

• Environmental Engineering
• Biotechnology
• Chemical Engineering

Background:

• Biofilter media moisture content is critical for effective pollutant removal.
• Understanding drying dynamics is essential for optimizing biofilter performance.
• Inlet air conditions and metabolic heat influence media drying.

Purpose of the Study:

• To develop a dynamic model simulating biofilter media drying.
• To analyze the impact of drying on biofilter performance.
• To predict variations in pollutant concentration, humidity, temperature, and water content.

Main Methods:

• Developed a dynamic one-dimensional model based on mass and energy balances.
• Incorporated biological reaction terms considering temperature, water content, and pollutant concentration.
• Validated the model using experimental biofiltration of gaseous toluene with peat.

Main Results:

• The model accurately predicts water evaporation from media due to metabolic heat and inlet air conditions.
• The model demonstrates the relationship between media drying and decreased biofilter performance.
• Experimental validation confirmed model predictions across various operating conditions.

Conclusions:

• The developed model provides a valuable tool for understanding and predicting biofilter drying dynamics.
• Optimizing moisture content through model insights can enhance biofilter efficiency.
• This research contributes to improved biofiltration system design and operation for pollutant control.