Mathematical model for the biodegradation of VOCs in trickle bed biofilters

Author:

Alonso C.1,Zhu X.1,Suidan M. T.1,Kim B. R.2,Kim B. J.3

Affiliation:

1. Department of Civil and Environmental Engineering, University of Cincinnati, Cincinnati, OH 45221-0071, USA

2. Chemistry Department, Ford Research Laboratory, Dearborn, MI 48121, USA

3. U.S. Army Construction Engineering Research Laboratory, Champaign, IL 61820, USA

Abstract

The objective of this work is to develop a fundamental mathematical model that describes the biodegradation of volatile organic compounds (VOCs) in gas phase trickle-bed biofilters, and to estimate the unknown model parameters. The mathematical model considers a three-phase system (biofilm, water, and gas phase), non-uniform bacterial population, and one limiting substrate. Two pilot-scale trickle-bed biofilters were operated to remove the VOC diethyl ether from a waste gas stream. Experimental results from this system were used to estimate the unknown parameters of the steady-state model: the maximum rate of substrate utilization μmXf/Y, the Monod constant, Ks, and the ether biofilm/water diffusivity ratio, rd. While the value of μmXf/Y was uniquely determined, the values of Ks and rd were highly correlated. High values of the Monod constant and the ether diffusivity in the biofilm gave similar predictions to those corresponding to low values of both parameters. Batch studies were used to estimate the value of Ks without mass transfer limitations showing that Ks < 1 mg/L=2.6 mg COD/L. Using this information and biofilter operating data the true values of Ks and rd were determined.

Publisher

IWA Publishing

Subject

Water Science and Technology,Environmental Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3