This paper presents a simple thermodynamic model that captures accurately the behaviour of all types of real chillers or cooling devices. In addition to its predictive capability, it also provides a diagnostic means for the in situ monitoring of chiller performance. To enhance the understanding of the chiller cycles, a novel way of formulating the classic T-s diagrams is provided for all chiller types, ranging from the mechanical, heat-driven and solid-state chillers.
BilliardF.Serving the needs of mankind: The IIR's ongoing contributionInternational Conference of Refrigeration 2003: planetary section (Washington, DC, USA).
2.
GordonJ. M.NgK. C.Cool Thermodynamics, 2000 (Cambridge International Science Publishing, UK).
3.
DomanskiP. A.DidionD.Building Science series 155, 1983 (NBS, Washington DC).
4.
FisherS. K.RiceC. K.JacksonW. L. The Oak Ridge Heat Pump Model, ORNL/TM-10192, 1998.
KatipamulaS.PrattR. G.BraunJ.Building system Diagnostics and Predicitive Maintenance, CRC handbook for HVAC&R Engineers, (Ed. KreiderJ.), 2001 (CRC press, Boca Raton, FL).
9.
ReddyT.A. Development and comparison of on-line model training techmques for model-based FDD methods applied to vapor compression chillers: Evaluation of mathematical models and training techniques. ASHRAE research project 1139, September 2001.
10.
SreedhararP.HavesP.Compression of chiller models-based fault detectionInternational Conference for Enhanced Building Operation (ICEBO), 2001 (Texas A&M University, Austin, TX).
11.
RossiT. M.BraunJ. E.A statistical rule-based fault detection and diagnostic method for vapor compression air conditionersInt. J. HVAC&R, 1997, 3 (1), 19–23.
12.
JiaY.ReddyT. A.Characteristic physical parameter approach to modeling chillers suitable for fault detection, diagnostic & evaluationTrans. ASME, J. Solar Energy Engng, 2003, 125, 258–235.
13.
ReddyT. A.NieburD.AndresenK. K.PericoloP. P.CabreraG.Evaluation on the suitability for of different chiller performance model for online training applied to automated fault detection and diagnosisInt. J. HVAC&R, 2002, 8 (1), T01–124.
14.
NgK. C.ChuaH. T. Simple thermodynamic tools for chiller diagnostics and optimization, May 12-13, ACRA 2004, Beijing, China, 188–195.
15.
NgK. C.ChuaH. T.OngW.LeeS. S.GordonJ. M.A diagnostic and thermodynamic optimization model for reciprocating chillers and experimental validationAppl. Thermal Engng, 1997, 17 (3), 263–276.
16.
LeverenzD. J.BerganN. E.Development and validation of a reciprocating chiller model for hourly energy analysis programsASHRAE Trans.1983, 89 (1A), 156–174.
17.
GordonJ. M.NgK. C.A general thermodynamic model for absorption chillers: Theory and experimentHeat Recovery Sys. & CHP, 1994, 15, 73–83.
18.
GordonJ. M.NgK. C.ChuaH. T.Centrifugal chillers: Thermodynamic modeling and a diagnostic case studyInt. J. Refrig., 1995, 18 (4), 253–257.
19.
NgK. C.ChuaH. T.HanQ.KashiwagiT.AkiswaA.TsurusawaT.Thermodynamic modeling of absorption chiller and comparison with experimentsHeat Transfer Engng., 1999, 20 (2), 42–51.
20.
GordonM.NgK. C.ChauH. T.Simple thermodynamic diagram for real refrigeration systemJ. Appl. Phys., 1999, 20 (3), 641–646.
21.
ChuaH. T.TohH. K.MalekA.NgK. C.SrinivasanK.A general thermodynamic framework for understanding the behaviour of absorption chillersInt. J. Refrig., 2000, 23 (7), 491–507.
22.
GrootS. R.MazurP.Non-equlibrium Thermodynamics, 1984 (Dover Publications Inc., New York).
23.
ChakarbortyA.Solid state micro-cooling devices: Thermodynamic modeling and their applications, PhD thesis, Mechanical Engineering Dept, NUS, 10 Kent Ridge Crescent, Singapore 119260, 2004.
