New approach to dynamic modelling of vapour-compression liquid chillers: artificial neural networks

被引：195

作者：

Bechtler, H ^{[1
]}

Browne, MW ^{[1
]}

Bansal, PK ^{[1
]}

Kecman, V ^{[1
]}

机构：

[1] Univ Auckland, Dept Mech Engn, Auckland 1, New Zealand

来源：

APPLIED THERMAL ENGINEERING | 2001年 / 21卷 / 09期

关键词：

chiller; model; neural network; radial basis function; dynamic;

D O I：

10.1016/S1359-4311(00)00093-4

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

This paper presents a new approach to modelling dynamic processes of vapour-compression liquid refrigeration systems. Using a dynamic neural network model for the performance prediction has been proposed. The model uses a generalised radial basis function neural network as inputs require only those parameters that are easily measurable. It then predicts relevant performance parameters such as the coefficient of performance or compressor work input. It was applied to two different dynamic processes of two different chillers and was found to be able to identify all process characteristics. (C) 2001 Elsevier Science Ltd. All rights reserved.

引用

页码：941 / 953

页数：13

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