Mathematical modeling and sensitivity analysis of xylene removal in a scoria-compost biofilter

(2019) Mathematical modeling and sensitivity analysis of xylene removal in a scoria-compost biofilter. Environmental Progress and Sustainable Energy. ISSN 19447442 (ISSN)

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Abstract

Mathematical modeling of biofiltration systems improves our understanding and design of such complex systems. This study focused on the theoretical and technical aspects of the modeling of xylene biofiltration in the absence and presence of a nonionic surfactant. In this regard, a mathematical model was developed based on mass balance principles in gas and biofilm phases. The developed model was calibrated and validated using the experimental data obtained from a lab-scale scoria-compost biofilter, which operated for 151 days in the absence and presence of Tween-20, a nonionic surfactant. First, the model was calibrated using the experimental data obtained at empty bed retention time (EBRT) of 90 s and then validated with the data obtained at two other EBRTs. The biofilter provided maximum elimination capacities (EC max ) of 97.5 and 93.6 g m −3 hr −1 , respectively, in the absence and presence of the surfactant at EBRT of 90 s. The corresponding predicted EC max values were 99.9 and 95.7 g m −3 hr −1 , respectively. Both model output and experimental data revealed that the nonionic surfactant improved the performance of the biofilter at moderate inlet loading rates. Various statistical measures, including fractional bias, average absolute relative error, and coefficient of determination (R 2 ), showed good agreement between experimental data and estimated model predictions. Sensitivity analysis of the model showed that the specific surface area and bioreactor length affected strongly the results of the model. In general, the results of this study would in turn form the design basis for engineering purposes. © 2019 American Institute of Chemical Engineers

Item Type: Article
Keywords: biofilter mathematical modeling sensitivity analysis xylene Biofilters Biofiltration Composting Mathematical models Nonionic surfactants Biofiltration systems Coefficient of determination Compost biofilters Developed model Empty bed retention time Maximum elimination capacities Statistical measures Technical aspects
Subjects: WA Public Health > WA 670-847 Environmental Pollution. Sanitation
Divisions: Research Institute for Primordial Prevention of Non-communicable Disease > Environment Research Center
Journal or Publication Title: Environmental Progress and Sustainable Energy
Journal Index: Scopus
Identification Number: https://doi.org/10.1002/ep.13235
ISSN: 19447442 (ISSN)
Depositing User: Zahra Otroj
URI: http://eprints.mui.ac.ir/id/eprint/10781

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