A simplified black-box model oriented to chilled water temperature control in a variable speed vapour compression system

Abstract The aim of this work is to propose a black-box model to accurately predict the chilled water temperature dynamic response of a vapour compression chiller. The model is oriented to be of value in determining an adequate control algorithm based on compressor speed regulation. The model uses variables that are easily obtained in any commercial or industrial facility, such as the water inlet temperature and the compressor speed, to predict the chilled water outlet temperature. Several linear black-box model structures are proposed and their ability to describe the process behaviour is validated with experimental data from a monitored test bench. Finally, the Box–Jenkins structure shows the best fits, obtaining promising results.

[1]  Sandro Campos Amico,et al.  Experimental development of an intelligent refrigeration system , 2005 .

[2]  Ricardo Nicolau Nassar Koury,et al.  Numerical simulation of a variable speed refrigeration system , 2001 .

[3]  Alireza Akbarzadeh Tootoonchi,et al.  Controlling automobile thermal comfort using optimized fuzzy controller , 2008 .

[4]  F. W. Yu,et al.  Advanced control of condensing temperature for enhancing the operating efficiency of air-cooled chillers , 2005 .

[5]  Vojislav Kecman,et al.  Modelling of vapour-compression liquid chillers with neural networks , 2001 .

[6]  Hua Li,et al.  An empirical model for independent control of variable speed refrigeration system , 2008 .

[7]  Savvas A. Tassou,et al.  VARIABLE-SPEED CAPACITY CONTROL IN REFRIGERATION SYSTEMS , 1996 .

[8]  H. Harry Asada,et al.  Modeling of Vapor Compression Cycles for Multivariable Feedback Control of HVAC Systems , 1997 .

[9]  Luis Pérez-Lombard,et al.  A review on buildings energy consumption information , 2008 .

[10]  Joaquín Navarro-Esbrí,et al.  Steady‐state model of a variable speed vapor compression system using R134a as working fluid , 2010 .

[11]  M. Zaheeruddin,et al.  Dynamic simulation and analysis of a water chiller refrigeration system , 2005 .

[12]  Joaquín Navarro-Esbrí,et al.  A low data requirement model of a variable-speed vapour compression refrigeration system based on neural networks , 2007 .

[13]  Derk J. Swider,et al.  A comparison of empirically based steady-state models for vapor-compression liquid chillers , 2003 .

[14]  Shengwei Wang,et al.  Dynamic simulation of a building central chilling system and evaluation of EMCS on-line control strategies , 1998 .

[15]  Nabil Nassif,et al.  A cost‐effective operating strategy to reduce energy consumption in a HVAC system , 2008 .

[16]  Shiming Deng,et al.  A study on the operational stability of a refrigeration system having a variable speed compressor , 2008 .

[17]  J. Jabardo,et al.  Modeling and experimental evaluation of an automotive air conditioning system with a variable capacity compressor , 2002 .