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Experimental studies and theoretical modelling of an unsteady state biofilter used to treat fluctuating concentrations of an alpha-pinene air emission.

机译:用于处理浓度波动的α-pine烯空气排放的非稳态生物滤池的实验研究和理论模型。

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This research describes the biofiltration of a transient, α-pinene laden air emission and compares experimental results to a dynamic diffusion-reaction model for a plug flow reactor. Three parallel biofilters, two biofilters (replicates) treating a cyclically fluctuating concentration and the third biofilter treating a constant concentration, were used to study the effect of periodic concentration fluctuations on biofilter performance. The cycle period ranged from 10 minutes to 6 days, with maximum α-pinene concentration fluctuations between 0 to 100 ppmv.; Both cyclic (cycle period of 10 minutes) and constant concentration biofilters maintained similar long-term performance (averaging removal efficiencies of 77%) at an averaged loading rate of 29 g α-pinene/m3 bed/h.; The dynamic model, using kinetic parameters estimated from the constant concentration biofilter, was able to predict the performance of cyclically operated biofilters operating at short cycle periods (i.e., on the order of minutes and hours). As a first approximation, steady state kinetic data from a constant concentration biofilter can be used to predict unsteady state biofilter operation. At a 24 hour cycle period, the dynamic model compares well with experimental results. At longer times scales the model does not effectively predict transient behaviour as adsorption and changes in kinetic parameters are not accounted for.; For long cycle periods (i.e., hours and days), removal efficiency decreased after periods of non-loading; the longer the period of non-loading, the poorer the biofilter's performance at the re-commencement of pollutant loading. The recovery time for a cycle period of 24 hours was less than one hour. The recovery time for a cycle period of 6 days was between 6–8 hours.; Modelling results showed that similar biofiltration performance for cyclic and constant concentration biofiltration of α-pinene is expected for biofilters operating solely in the first order kinetics regime. Poorer performance for cyclic biofilters following Monod kinetics spanning the entire kinetics range is expected as the cycle amplitude increases. The most important parameters affecting the performance of a cyclically operated biofilter with short cycle periods are: amplitude of cyclic fluctuations, Cg,max/Cg, relative value of the half saturation constant in the Monod expression, K s, and effective diffusivity of α-pinene in the biofilm, D e.
机译:这项研究描述了瞬态,富含α-pine烯的空气排放的生物过滤,并将实验结果与活塞流反应器的动态扩散反应模型进行了比较。为了研究周期性浓度波动对生物滤池性能的影响,使用了三个平行的生物滤池,两个处理周期性波动浓度的生物滤池(重复实验)和第三个处理恒定浓度的生物滤池。周期为10分钟至6天,最大α-pine烯浓度波动在0至100 ppmv之间。循环(10分钟的循环时间)和恒定浓度的生物滤池在平均负载率为29 gα-pine烯/ m 3 /时,保持了相似的长期性能(平均去除效率为77%)。 H。;使用从恒定浓度生物滤池估算的动力学参数的动力学模型能够预测在短循环周期(即,数分钟和数小时)上运行的循环操作的生物滤池的性能。作为第一近似,来自恒定浓度生物滤池的稳态动力学数据可用于预测非稳态生物滤池的运行。在24小时周期内,动态模型与实验结果具有很好的对比。在更长的时间尺度上,该模型不能有效地预测瞬态行为,因为没有考虑吸附和动力学参数的变化。对于较长的周期(即数小时和数天),在卸载一段时间后,去除效率会下降;空载时间越长,生物滤池在重新开始载污时的性能就越差。 24小时周期内的恢复时间少于一小时。周期为6天的恢复时间为6-8小时。建模结果表明,对于仅在一级动力学方案下运行的生物滤池,预期对α-bio烯进行循环和恒定浓度生物滤池的过滤性能相似。随着循环幅度的增加,随着Monod动力学跨越整个动力学范围,循环生物滤池的性能会下降。影响周期短的周期性生物滤池性能的最重要参数是:循环波动幅度,C g,max / C g ,半值的相对值Monod表达中的饱和常数K s 和生物膜中α-pine烯的有效扩散系数D e

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