Baltzis B C, Mpanias C J, Bhattacharya S
Department of Chemical Engineering, Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey 07102, USA.
Biotechnol Bioeng. 2001 Feb 20;72(4):389-401.
A mathematical model was derived for describing removal of mixed VOC vapors in biotrickling filters (BTFs). The model accounts for potential process rate limitation by the availability of oxygen as well as for potential kinetic interactions among pollutants during their biodegradation. Without using any fitted parameter, the model was found capable of predicting experimentally obtained removal rates of mono-chlorobenzene (m-CB) and ortho-dichlorobenzene (o-DCB) vapors. Experimental results reported here show that m-CB removal is better than that of o-DCB. The two compounds were known to be involved in a kinetic cross-inhibition interaction when degraded in suspended culture. However, model sensitivity studies showed that cross-inhibition does not affect BTF performance due to the low pollutant concentrations involved. For the same reason, the influence of oxygen on BTF performance was found to be minimal under the conditions tested. The model was found to predict experimentally obtained values with less than 10% error in the majority of cases. Computations with an earlier model describing VOC removal in conventional biofilters showed that, for the model mixture used in this study (m-CB/o-DCB), removal rates obtained with BTFs are one to more than two orders of magnitude higher than those obtained with conventional biofilters. This is attributed to the larger active specific biofilm surface area in BTFs, obtained through the creation of favorable growth conditions for the biomass, and better moisture control.
推导了一个用于描述生物滴滤塔(BTF)中混合挥发性有机化合物(VOC)蒸汽去除过程的数学模型。该模型考虑了氧气供应对潜在过程速率的限制,以及污染物在生物降解过程中潜在的动力学相互作用。在不使用任何拟合参数的情况下,发现该模型能够预测实验获得的一氯苯(m-CB)和邻二氯苯(o-DCB)蒸汽的去除率。此处报告的实验结果表明,m-CB的去除效果优于o-DCB。已知这两种化合物在悬浮培养中降解时会发生动力学交叉抑制相互作用。然而,模型敏感性研究表明,由于所涉及的污染物浓度较低,交叉抑制不会影响BTF的性能。出于同样的原因,发现在测试条件下氧气对BTF性能的影响最小。在大多数情况下,该模型预测实验获得的值的误差小于10%。使用早期描述传统生物滤池中VOC去除的模型进行计算表明,对于本研究中使用的模型混合物(m-CB/o-DCB),BTF获得的去除率比传统生物滤池获得的去除率高一个到两个以上数量级。这归因于通过为生物质创造有利的生长条件以及更好的湿度控制,BTF中具有更大的活性比生物膜表面积。