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首页> 外文期刊>Bioprocess and Biosystems Engineering >Modeling the dynamic performance of full-scale anaerobic primary sludge digester using Anaerobic Digestion Model No. 1 (ADM1)
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Modeling the dynamic performance of full-scale anaerobic primary sludge digester using Anaerobic Digestion Model No. 1 (ADM1)

机译：使用厌氧消化模型No. 1（ADM1）对全规模厌氧初级污泥消化池的动态性能进行建模

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摘要

Anaerobic digestion is one of the most commonly accepted processes applied for the stabilization and treatment of primary sludge generated in municipal wastewater treatment plants enabling energy recovery via biogas production. Understanding and optimizing anaerobic sludge digesters play a key role in sustainability of wastewater treatment plants. Mathematical modeling of biological treatment systems provides several advantages such as better understanding of biochemical processes, interrelations of different biomass types, and impact of environmental conditions on the treatment plant performance. This research presents the modeling of a full-scale anaerobic sludge digester by implementing Anaerobic Digestion Model No. 1 with a limited number of monitored parameters. Model calibration was carried out using a long-term data set. The accuracy of the optimized parameter sets was assessed against measured data obtained from the full-scale sludge digester. The model could predict the methane flow and effluent chemical oxygen demand concentration in good agreement with the measured data. Therefore, the validated model can be used to predict full-scale sludge digester performance under dynamic loadings, and to optimize methane production at different operation conditions.
机译：厌氧消化是用于稳定和处理市政废水处理厂产生的初级污泥的最普遍接受的工艺之一，可通过沼气生产回收能量。了解和优化厌氧污泥消化池在废水处理厂的可持续性中起着关键作用。生物处理系统的数学建模具有许多优势，例如更好地了解生化过程，不同生物质类型的相互关系以及环境条件对处理厂性能的影响。这项研究通过实施有限数量的监控参数的厌氧消化模型No.1，提出了一个完整的厌氧污泥消化池的模型。使用长期数据集进行模型校准。最佳参数集的准确性是根据从满量程污泥消化器获得的测量数据进行评估的。该模型可以预测甲烷流量和污水中化学需氧量浓度，与实测数据吻合良好。因此，经过验证的模型可用于预测动态负荷下满量程污泥消化池的性能，并优化不同运行条件下的甲烷产量。

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