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Modeling biodegradation of toluene in rotating drum biofilter
1College of Environmental Science and Engineering, Hunan University, Changsha, Hunan 410082, China. yangc@hnu.cn
A dynamic model simulates rotating drum biofilters (RDBs) for volatile organic compound (VOC) removal. The model predicts decreased toluene removal efficiency with higher VOC loads or longer operation times.
Area of Science:
- Environmental Engineering
- Biotechnology
- Chemical Engineering
Background:
- Rotating drum biofilters (RDBs) offer a cost-effective method for controlling volatile organic compound (VOC) emissions.
- Understanding the dynamic performance of RDBs is crucial for optimizing emission control strategies.
Purpose of the Study:
- To develop and validate a dynamic mathematical model for predicting the performance of multi-layer RDBs over time.
- To investigate the impact of operational parameters on VOC removal efficiency.
Main Methods:
- A dynamic mathematical model based on the two-film theory was developed.
- The model incorporated biofilm growth, biomass loss, and changing surface area/thickness.
- MATLAB and the fourth-fifth-order Runge-Kutta technique were used to solve model equations.
Main Results:
- Simulation results indicated a decrease in toluene removal efficiency with increased toluene loading.
- The model predicted reduced performance with longer biofilter operation durations.
- Model predictions showed good agreement with experimental data.
Conclusions:
- The dynamic model accurately simulates RDB performance, accounting for key factors like biofilm dynamics.
- The findings highlight the importance of managing toluene loading and operational duration for effective VOC control using RDBs.
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