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MODELING AND PARAMETER-ESTIMATION OF HEAT-EXCHANGERS - A STATISTICAL APPROACH
被引：17
|作者：
JONSSON, G
[1
]
PALSSON, OP
[1
]
SEJLING, K
[1
]
机构：
[1] TECH UNIV DENMARK,INST MATH STAT & OPERAT RES,DK-2800 LYNGBY,DENMARK
来源：
关键词：
Distributed parameter control systems - Heat convection - Heat transfer - Kalman filtering - Least squares approximations - Mathematical models - Parameter estimation - State space methods - Statistical methods;
D O I：
10.1115/1.2897740
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A continuous in time dynamic model of counterflow and parallel flow heat exchangers is presented. The model is on state space form and it is shown how to use statistical methods, Kalman filtering and least squares, to estimate the model parameters. Empirical relations for con vection heat transfer are incorporated in the parameters in order to improve the model performance. The parameters in these empirical formulas may be estimated with the same methods, thereby adjusting the relations to the specific heat exchanger. As a case-study, a small counterflow plate heat exchanger is modeled and some results from the parameter estimation are given.
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页码：673 / 679
页数：7
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