Abstract
Development status of classical simulation technology and application status of artificial intelligence on refrigeration and air conditioning equipments were introduced. The new concept of intelligence simulation was also primarily introduced, and the further development direction of simulation and optimization was put forward lastly. The modern artificial intelligence technology (fuzzy-neural network method) improving on the traditional numerical simulation has theoretic and practical inevitability. Only the combination of the fuzzy-neural network method and the traditional simulation model is likely to get the optimal general simulation effect. The intelligence simulation method of refrigeration and air conditioning equipments has well application foreground.
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References
Ding, G., Zhang, C.: Simulation and optimization of refrigeration and air conditioning equipments. Science press (June 2001)
Zhang, C., Ding, G.: Approximate analytic solutions of adiabatic capillary tube. Int. J. Refrig. 27, 17–24 (2004)
Sami, S.M., Maltais, H.: Numerical modeling of alternative refrigerants to HCFC-22 through capillary tube. Int. J. Energy Res. 24, 1359–1371 (2000)
Cho, C.H., Norden, N.: Computer optimization of refrigeration plants. Int. J. Refrig. 5, 289–294 (1980)
Ahrens, F.W.: Heatpump modeling simulation and design. Wisconsin, USA (1981)
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© 2011 Springer-Verlag Berlin Heidelberg
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Wensheng, C. (2011). New Development of Simulation Methods on Refrigeration and Air Conditioning Equipments. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23214-5_61
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DOI: https://doi.org/10.1007/978-3-642-23214-5_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23213-8
Online ISBN: 978-3-642-23214-5
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