Dynamic modeling process from the hexane removal of contaminated air bio filtration method

M. K. Asl, M. Sohrabi, S. Yaghoubi
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Abstract

Purification of polluted air from volatile organic compounds by means of biologic methods has been considered due to great advantages. Biofiltration is one of the best biologic methods for doing such processes. In this research, a mathematical model has been presented in order for Biofiltration process of polluted air in which limiter effects of oxygen and humidity have been considered. Since, microbe’s inclination to substrate and microbial growth and production output of biomass are effective on bio filter’s performance, evaluating the effect of these quantities is necessary. Dynamic modeling of Biofiltration process of polluted air in stable and unstable conditions was conducted by emphasizing on humidity in the equations of mass transfer and sensitivity analysis in order for determining change effect of this parameter on the performance of model. The results show that the maximum amount of special growth results in the increase of absorption capacity, and also the model rightly confirms that constant increase of saturation 114 Morteza Kashefi Asl et al. reduces the absorption capacity; whilst by means of this model, we can show that special surface switch and thickness change of biofilm are effective on absorption capacity.
动态建模过程从正己烷去除污染空气的生物过滤方法
利用生物方法净化污染空气中的挥发性有机化合物具有很大的优势。生物过滤是进行此类处理的最佳生物方法之一。本文建立了考虑氧气和湿度限制作用的污染空气生物过滤过程的数学模型。由于微生物对基质的倾斜度、微生物的生长和生物量的产量对生物过滤器的性能是有效的,因此评估这些数量的影响是必要的。对稳定和不稳定条件下污染空气的生物过滤过程进行了动态建模,在传质方程和灵敏度分析中重点考虑了湿度,以确定该参数的变化对模型性能的影响。结果表明,最大的特殊生长量会导致吸收容量的增加,模型也正确地证实了饱和度的不断增加会降低吸收容量。同时,通过该模型可以看出,特殊的表面切换和生物膜厚度的变化对吸收能力是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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