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

Author(s) : BETCHTLER H., BROWNE M. W., BANSAL P. K., et al.

Type of article: Article

Summary

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.

Details

Original title: New approach to dynamic modelling of vapour-compression liquid chillers: artificial neural networks.
Record ID : 2002-0125
Languages: English
Source: Applied thermal Engineering - vol. 21 - n. 9
Publication date: 2001/06

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Indexing

Themes: Compression systems;
Other air-conditioning equipment
Keywords: Operation; Design; Artificial neural network; Chiller; Compression system; Modelling