Kinetics of organic compound removal from waste gases with a biological filter

Abstract

In order to eliminate organic pollutants in waste gases, a biological filter bed technique has been developed, with a high self‐regenerating capacity and a low pressure drop. The bed consists of an appropriate filling material (mainly peat compost), in order to let the microorganisms grow on the solid surface and to supply them with inorganic nutrients. Most organic compounds are oxidized to carbon dioxide and water. The compositions of the solid phase and the viable organisms present are such that aging is prevented, as a result of which a relatively high activity can be maintained during a long period of time (years). Experiments have been carried out in laboratory‐scale columns with composite gas mixtures at varied concentrations and superficial gas velocities. The (macro) kinetics of the elimination processes have been studied, which enables the prediction of the elimination capacity of the filter bed.

Co-treatment of single, binary and ternary mixture gas of ethanethiol, dimethyl disulfide and thioanisole in a biotrickling filter seeded with Lysinibacillus sphaericus RG-1

“…While for DMDS, the total EC increased gradually from 6.78 to 19.91 g/m 3 /h as DMDS rose from 0.21 to 0.61 mg/L, and then slightly to 23.92 g/m 3 /h at concentration 0.81 mg/L. This can also be explained using biophysical model proposed by Ottengraf and Van Den Oever [40] for single VOCs with the additional aspects added to account for mixed substrates. That is, at diffusion limitation regime, the increase of the DMDS inlet concentration enhanced the transfer rate of DMDS from gas phase to biofilm as ethanethiol concentrations were kept constant.…”

Emissions of Odor, Ammonia, Hydrogen Sulfide, and Volatile Organic Compounds from Shallow-Pit Pig Nursery Rooms

“…Various air pollution control technologies have been invented and applied, such as activated carbon adsorption, wet scrubbing, and masking agents (Ottengraf and Van Den Oever, 1983;Chung et al, 2007). These methods, however, often transfer odor causing materials from the gas phase to scrubbing liquids or solid adsorbents, and their derivatives have resulted in wastewater and solid waste concerns (Lin et al, 2001;Chung et al, 2007).…”

An intelligent neural network model for evaluating performance of immobilized cell biofilter treating hydrogen sulphide vapors

“…Chung et al, (1996) (Chung et al, 1996;Cha et al, 1999). Traditionally the performance of biofilters has been modeled/predicted using process based models that are based on mass balance principles, simple reaction kinetics and a plug flow of air stream (Ottengraf and Oever, 1983;Shareefdeen et al, 1993;Deshusses et al, 1995;Jin et al, 2006). The main advantages of these process models are that they are based on the underlying physical process and the results obtained generally provide a good understanding of the system.…”