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Probabilistic Modeling of Two-Stage Biological Nitrogen Removal Process: Conditions for Enhanced Process Certitude

机译:两阶段生物脱氮过程的概率模型:提高过程确定性的条件

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In a conventional two-stage biological nitrogen removal (BNR) process, the extent of uncertainty associated with different operating parameters (e.g., solids retention time, internal recirculation ratio, anoxic hydraulic retention time [HRT], total HRT, and sludge recycle ratio) was evaluated by simulation with Activated Sludge Model no 1. Variability in the values of kinetic parameters was incorporated in performing stochastic simulations by adopting the influent biodegradable chemical oxygen demand–to–total kjeldahl nitrogen (COD:TKN) ratio of 10, an important determinant of BNR performance. Simulation results predicted maximum level of certitude for effective nitrogen removal at 3-h anoxic HRT (and 12-h total HRT). Appreciable rise in process certitude for nitrogen removal was indicated as solids retention time was increased from 5 to 20 days. No noticeable rise in confidence level could be achieved for meeting stipulated treatment targets by increasing internal recycle (for nitrate recirculation) beyond 300%. Process certitude remained virtually unaffected by increase in either sludge recycle ratio or total HRT of the system. Such an approach for reducing treatment uncertainty, related to variability in biokinetic parameters by studying the effect of operating parameters on the system, could be regarded as a valid objective in BNR process design and operation. This would ultimately lead to the development of ranges in operating conditions for enhanced process certitude.
机译:在常规的两阶段生物脱氮(BNR)过程中,与不同操作参数(例如,固体保留时间,内部再循环率,缺氧水力保留时间[HRT],总HRT和污泥再循环率)相关的不确定性程度通过使用1号活性污泥模型进行仿真来评估。通过采用可生物降解的化学需氧量与总凯氏氮(COD:TKN)之比为10(重要的决定因素),在进行随机模拟时纳入了动力学参数值的可变性BNR性能。模拟结果预测了在3小时缺氧HRT(和总HRT 12小时)下有效脱氮的最大确定度。固氮保留时间从5天增加到20天,表明脱氮工艺的可靠性显着提高。通过将内部循环(用于硝酸盐再循环)增加到300%以上,无法达到达到规定治疗目标的置信度。污泥回收率或系统总HRT的增加几乎不会影响工艺的准确性。通过研究操作参数对系统的影响,与生物动力学参数可变性相关的减少治疗不确定性的方法可被视为BNR工艺设计和操作中的有效目标。这最终将导致操作条件范围的发展,以提高工艺可靠性。

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