Biomass accumulation and clogging in biotrickling filters for waste gas treatment. Evaluation of a dynamic model using dichloromethane as a model pollutant.
A dynamic model is developed that describes the degradation of volatile acidifying pollutants in biotrickling filters (BTFs) for waste gas purification. Dynamic modelling enables the engineer to predict the clogging rate of a filter bed and the time it takes the BTF to adapt to changes in its inlet concentration. The most important mechanisms that govern the behaviour of the BTF are incorporated in the model. The time scale of the accumulation of biomass in a filter is investigated, and an approach is presented that can be used to estimate how long a BTF can be operated before its packing has to be cleaned. A three-month experiment was carried out to validate the model, using dichloromethane (DCM) as a model acidifying pollutant. Valuable experimental data about biomass accumulation and liquid hold-up in the reactor were obtained with an experimental set-up that allows the continuous registration of the weight of the BTF. The results show that in BTFs eliminating DCM from a waste gas, clogging is not to be expected up to concentrations of several g/m3. Model calculations based on the measurements also suggest that the maximum carbon load that can safely be applied per unit void packing volume should not exceed 0.5-1.6 C mol/(m3. h), depending on the density of the biofilm formed. The model is a good predictor of the elimination of the pollutant in the system, the axial gas and liquid concentration profiles, the axial biomass distribution, and the response of the system upon a stepwise increase in the DCM inlet concentration. The influence of the buffer concentrations in the liquid phase upon the performance of the BTF is investigated.
Okkerse
W J
WJ
Eindhoven University of Technology, P.O. Box 513, STW 0.35, 5600 MB, The Netherlands.
Ottengraf
S P
SP
Osinga-Kuipers
B
B
Okkerse
M
M
D000393:Air Pollutants; D001673:Biodegradation, Environmental; D018441:Biofilms; D018533:Biomass; D019149:Bioreactors; D001709:Biotechnology / Q000295:instrumentation / Q000379:methods; D004787:Environmental Pollution / Q000517:prevention & control; D005740:Gases; D007700:Kinetics; D008752:Methylene Chloride / Q000493:pharmacokinetics*; D008772:Methylococcaceae / Q000254:growth & development* / Q000378:metabolism; D008954:Models, Biological
D000393:Air Pollutants; D005740:Gases; D008752:Methylene Chloride