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Modeling Full-scale Granular Sludge Sequencing Tank Performance

机译:全尺寸颗粒污泥测序罐性能建模

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This paper presents the calibration of a Bio Win model to the performance of a full-scale Nereda® nutrient removal plant at Garmerwolde, Netherlands. The approach to modeling granular sludge sequencing tanks (GSST) is discussed. A one-dimensional dynamic biofilm model is merged with a general Activated Sludge/Anaerobic Digestion model (ASDM) and a one-dimensional layered solids flux model in a variable volume unit. The GSST model has been developed to balance pragmatic design with mechanistic modeling rigour. A dynamic solver generates fast solutions and allows interactive design and analysis. The calibrated GSST model accurately predicts key aspects of the observed full-scale Garmerwolde Nereda® plant over the period from March to December, 2014: sludge production; total system mass, and fraction of the total mass in the granular phase; dynamic biological removal of carbon, nitrogen and phosphorous within the Nereda® tank; aeration requirements; and effluent concentrations.
机译:本文介绍了针对荷兰Garmerwolde大型Nereda®营养去除设备的性能对Bio Win模型的校准。讨论了对颗粒污泥排序罐(GSST)建模的方法。将一维动态生物膜模型与常规的活性污泥/厌氧消化模型(ASDM)和一维分层固体通量模型合并成一个可变体积单位。 GSST模型已经开发,可以在实用设计与机械建模严格度之间取得平衡。动态求解器可生成快速解决方案,并允许进行交互式设计和分析。校准后的GSST模型可以准确预测2014年3月至12月期间观察到的GarmerwoldeNereda®大型工厂的关键方面:污泥的产生;系统总质量,以及颗粒相中总质量的分数;在Nereda®储罐内动态生物去除碳,氮和磷;曝气要求;和废水浓度。

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