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首页> 外文期刊>Chemical engineering journal >Biomass accumulation in a biofilter treating toluene at high loads - Part 2: Model development, calibration and validation
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Biomass accumulation in a biofilter treating toluene at high loads - Part 2: Model development, calibration and validation

机译:高负荷处理甲苯的生物滤池中的生物质积累-第2部分:模型开发,校准和验证

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摘要

In this work, a dynamic model describing volatile organic compounds abatement and the corresponding biomass accumulation is developed, calibrated and validated. The mathematical model is based on detailed mass balances which include the main processes involved in the system: advection, absorption, adsorption, diffusion, biodegradation and biomass growth. The model overcomes common assumptions considered in classical biofiltration models such as uniform, constant biomass distribution. The model was calibrated and validated using experimental data obtained from a biofilter packed with clay pellets during its operation from inoculation to clogging. The model was able to predict satisfactorily experimental data by calibrating only a minimum number of parameters such as the half-saturation constant for toluene and the volumetric maximum growth rate of microorganisms. Kinetic parameters were fitted by means of an optimization routine using toluene concentration profiles along the bed height of the biofilter. A confidence interval for each parameter was calculated based on the Fisher Information Matrix procedure. The model was satisfactorily validated during the operation of the biofilter under different process conditions. Biomass accumulation permitted to predict macroscopic, critical operating parameters such as the pressure drop through the bed. The model may help predicting energy consumption requirements as well as biomass clogging episodes due to excessive biomass growth.
机译:在这项工作中,开发,校准和验证了描述挥发性有机化合物减少和相应生物量积累的动力学模型。该数学模型基于详细的质量平衡,包括系统中涉及的主要过程:对流,吸收,吸附,扩散,生物降解和生物量增长。该模型克服了经典生物过滤模型中考虑的常见假设,例如均匀,恒定的生物量分布。使用从装满粘土颗粒的生物过滤器(从接种到堵塞)运行期间获得的实验数据对模型进行校准和验证。该模型能够通过仅校准最少数量的参数(例如甲苯的半饱和常数和微生物的最大体积增长率)来令人满意地预测实验数据。通过沿生物滤池床高度使用甲苯浓度曲线的优化程序拟合动力学参数。根据Fisher信息矩阵程序计算每个参数的置信区间。在生物滤池在不同工艺条件下运行期间,该模型已得到令人满意的验证。生物质积累可以预测宏观的关键运行参数,例如穿过床的压降。该模型可以帮助预测能量消耗需求以及由于过度的生物量增长而导致的生物量堵塞事件。

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