A biofilter model for simultaneous simulation of toluene removal and bed pressure drop under varied inlet loadings

Jinying XI, Insun KANG, Hongying HU, Xian ZHANG

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PDF(349 KB)
Front. Environ. Sci. Eng. ›› 2015, Vol. 9 ›› Issue (3) : 554-562. DOI: 10.1007/s11783-014-0671-z
RESEARCH ARTICLE
RESEARCH ARTICLE

A biofilter model for simultaneous simulation of toluene removal and bed pressure drop under varied inlet loadings

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Abstract

In this study, a biofiltration model including the effect of biomass accumulation and inert biomass growth is developed to simultaneously predict the Volatile Organic Compounds (VOCs) removal and filter bed pressure drop under varied inlet loadings. A laboratory-scale experimental biofilter for gaseous toluene removal was set up and operated for 100 days with inlet toluene concentration ranging from 250 to 2500 mg∙m-3. According to sensitivity analysis based on the model, the VOCs removal efficiency of the biofilter is more sensitive to Henry’s constant, the specific surface area of the filter bed and the thickness of water layer, while the filter bed pressure drop is more sensitive to biomass yield coefficient and original void fraction. The calculated toluene removal efficiency and bed pressure drop satisfactorily fit the experimental data under varied inlet toluene loadings, which indicates the model in this study can be used to predict VOCs removal and bed pressure drop simultaneously. Based on the model, the effect of mass-transfer parameters on VOCs removal and the stable-run time of a biofilter are analyzed. The results demonstrate that the model can function as a good tool to evaluate the effect of biomass accumulation and optimize the design and operation of biofilters.

Keywords

Volatile Organic Compounds (VOCs) / biofilters / modelling / biomass accumulation / pressure drop

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Jinying XI, Insun KANG, Hongying HU, Xian ZHANG. A biofilter model for simultaneous simulation of toluene removal and bed pressure drop under varied inlet loadings. Front. Environ. Sci. Eng., 2015, 9(3): 554‒562 https://doi.org/10.1007/s11783-014-0671-z

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Acknowledgements

This research is supported by the National Natural Science Foundation of China (Grant No. 51378286) and special fund of State Key Joint Laboratory of Environment Simulation and Pollution Control (No. 11Y04ESPCT).

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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