Summary
System simulation is a valuable approach to the design of refrigerating and air-conditioning appliances. In the paper, a refrigeration system simulation method with ANN (artificial neural network)-based component models was developed. At first, ANN is used to construct the component model base instead of the traditional modelling method. Proper inputs and outputs of ANN component models are selected according to the traditional first-principle models and system simulation algorithm. Then the trained ANN component models are substituted into the traditional system simulation algorithm for system performance prediction. Finally, a case study shows that high precision is reached in component modelling and system performance prediction. Therefore, the method is fast and accurate for refrigeration system design.
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Details
- Original title: Refrigeration system simulation with ANN-based component models.
- Record ID : 2004-1106
- Languages: English
- Source: 21st IIR International Congress of Refrigeration: Serving the Needs of Mankind.
- Publication date: 2003/08/17
Links
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Indexing
- Themes: Compression systems
- Keywords: Artificial neural network; Compression system; Process; Modelling
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- Author(s) : TUMIALAN J. A. B., HERNANDEZ O. S. M., BANDARRA FILHO E. P., et al.
- Date : 2007/07/21
- Languages : English
- Source: ICR 2007. Refrigeration Creates the Future. Proceedings of the 22nd IIR International Congress of Refrigeration.
- Formats : PDF
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New approach to dynamic modelling of vapour-com...
- Author(s) : BETCHTLER H., BROWNE M. W., BANSAL P. K., et al.
- Date : 2001/06
- Languages : English
- Source: Applied Thermal Engineering - vol. 21 - n. 9
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Artificial neural network analysis of a refrige...
- Author(s) : ERTUNC H. M., HOSOZ M.
- Date : 2006/04
- Languages : English
- Source: Applied Thermal Engineering - vol. 26 - n. 5-6
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Discrete time adaptive neural network control f...
- Author(s) : YANG P., LIU J., YU J., ZHU H.
- Date : 2023/09
- Languages : English
- Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 153
- Formats : PDF
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Neural-network-based polynomial correlation of ...
- Author(s) : ZHAO L. X., ZHANG C. L., GU B.
- Date : 2009/03
- Languages : English
- Source: HVAC&R Research - vol. 15 - n. 2
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