Ceit, Manuel Lardizabal 15, 20018, Donostia/San Sebastián, Spain; Universidad de Navarra, Tecnun Escuela de Ingenieros, Manuel Lardizabal 13, 20018, Donostia/San Sebastián, Spain.
Universidad de Navarra, Tecnun Escuela de Ingenieros, Manuel Lardizabal 13, 20018, Donostia/San Sebastián, Spain.
Water Res. 2019 May 15;155:26-41. doi: 10.1016/j.watres.2019.01.047. Epub 2019 Feb 7.
Mathematical models describing precipitation processes in one step need to be upgraded. Particle size distribution is a crucial variable and its inclusion in the modelling libraries is necessary if the technology wants to be optimized through simulation. With this objective, a mass based population balance model is presented in this contribution. The model has been constructed using a stoichiometric matrix and a kinetic vector and using mass as the internal coordinate, as it is usually done in wastewater treatment modelling. Identifiability of the parameters of the model was evaluated using a sensitivity and a collinearity analysis for six simulation case studies of struvite precipitation. In addition, parameters in the model were calibrated to represent data from two batch tests in the laboratory. The results of the analysis showed that the identifiability of the parameters depends on the available experimental data and explored scenarios. Identifiability of the parameters could be the reason behind the shifting parameter values describing mechanisms of precipitation in the literature. This contribution helps to understand the possibilities and limitations that the population balance model approach offer.
需要升级一步法描述降水过程的数学模型。粒度分布是一个关键变量,如果该技术希望通过模拟进行优化,那么在建模库中包含粒度分布是必要的。为此,本研究提出了一种基于质量的颗粒平衡模型。该模型使用化学计量矩阵和动力学向量构建,并使用质量作为内部坐标,就像在废水处理建模中通常做的那样。使用六组鸟粪石沉淀模拟案例的敏感性和共线性分析来评估模型参数的可识别性。此外,还对模型中的参数进行了校准,以代表实验室中两个批次测试的数据。分析结果表明,参数的可识别性取决于可用的实验数据和探索的情景。参数的可识别性可能是文献中描述沉淀机制的参数值发生变化的原因。本研究有助于理解颗粒平衡模型方法提供的可能性和局限性。