Parameter Identifiability Analysis and Model Fitting of a Biological Wastewater Model

被引：0
|
作者：
Chai, Qian [1 ]
Amrani, Sverre H. [1 ]
Lie, Bernt [1 ]
机构：
[1] Telemark Univ Coll, N-3901 Porsgrunn, Norway
来源：
16TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING AND 9TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING | 2006年 / 21卷
关键词：
ASM2d; Identifiability analysis; Parameter estimation; Model fitting;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A biological wastewater treatment plant situated at Duvbacken in Gavle, Sweden is described. A dynamic model based on the Activated Sludge Model No. 2d (ASM2d) is developed in the simulation language Modelica, and is exported from Dymola (a Modelica environment) into Matlab. It is of interest to adjust the parameters in the model such that the developed model fits better to experimental data from the Duvbacken plant. In this paper, a systematic approach for parameter identifiability analysis is described. A standard least squares criterion is used in combination with a direct optimization method to calculate the improved parameter estimates, and the adjusted model is validated against experimental data from the industrial plant.
引用
收藏
页码：409 / 414
页数：6
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