Validation of a compartmental population balance model of an industrial leaching process:: The Silgrain® process
Validation of a compartmental population balance model of an industrial leaching process:: The Silgrain® process
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DOI：
10.1016/j.ces.2005.01.047
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发表时间：
2006-01-01
影响因子：
4.7
通讯作者：
Lie, B
中科院分区：
文献类型：
--
作者：
Díez, MD;Fjeld, M;Lie, B
粒子数平衡(PB)模型已成为颗粒物过程动态模拟中应用最广泛的工具。PB模型在预测方面的应用引起了人们的极大兴趣。在将模型应用于预测之前，必须对PB模型进行参数估计和定量验证。PB模型具有大尺度、参数非线性等特点。此外，测量的可用性通常是有限的，特别是在工业层面上，这使得参数很难从实验数据中识别出来。本文展示了一种分析参数敏感度和参数间共线性的系统方法，它提供了一个参数子集，可以很容易地从现有数据中识别出来。建立了工业湿法冶金浸出厂的分室PB模型。分析了模型参数的参数可识别性，并利用工业现场的实验数据识别了相应的参数子集，验证了模型的一些主要假设。(C)2005爱思唯尔有限公司。保留所有权利。
Population balance (PB) models have become the most widely used tool for dynamic modeling of particulate processes. The application of PB models for prediction purposes is attracting significant interest. A parameter estimation and a quantitative validation of PB models should be carried out before the model can be applied for prediction. PB models are large-scale and nonlinear in the parameters. Moreover, the availability of measurements is typically limited, especially at industrial level, which makes the parameters poorly identifiable from experimental data. This paper shows how a systematic method for analyzing parameter sensitivity and collinearity among parameters, provides a subset of parameters that can easily be identified from the available data. A compartmental PB model of an industrial hydrometallurgical leaching plant is developed. Parameter identifiability of the model parameters is analyzed, and experimental data from the industrial plant are used to identify the corresponding subset of parameters and to verify some of the main assumptions of the model. (c) 2005 Elsevier Ltd. All rights reserved.