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Applying grey forecasting to predicting the operating energy performance of air cooled water chillers.

Author(s) : JIANG Y., YAO Y., DENG S., et al.

Type of article: Article, IJR article

Summary

Grey forecasting has found applications in finance, social science, economics, etc. However, its applications in air conditioning and refrigeration had not been reported. This article reports on a study in which a grey forecasting method was applied to predicting the operating energy performance for an air-cooled water chiller (ACWC) unit, so as to demonstrate that this forecasting approach can be applied to building Heating Ventilation and Air Conditioning (HVAC) installations. A brief introduction of the background and fundamentals of grey forecasting is firstly presented. This is followed by reporting on the application of grey forecasting to an ACWC unit installed in Northern China in order to predict its operating energy performance using the variation ratio of coefficient of performance (delta COP). The predicted delta COP values agreed well with the measured delta COP, demonstrating that grey forecasting may be used for predicting the operating energy performance of an ACWC unit with high accuracy. Finally, the potential use of grey forecasting in fault detection and diagnostics (FDD) or energy management systems (EMSs) for air-conditioning and refrigeration systems is assessed, and comparison with the prediction method based on artificial neural network (ANN) discussed.

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Pages: 385-392

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Details

  • Original title: Applying grey forecasting to predicting the operating energy performance of air cooled water chillers.
  • Record ID : 2004-1906
  • Languages: English
  • Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 27 - n. 4
  • Publication date: 2004/06

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