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TECHNICAL PAPERS

Characteristic Physical Parameter Approach to Modeling Chillers Suitable for Fault Detection, Diagnosis, and Evaluation

[+] Author and Article Information
Yongzhong Jia, T. Agami Reddy

Department of Civil and Architectural Engineering, Drexel University, Philadelphia, PA

J. Sol. Energy Eng 125(3), 258-265 (Aug 04, 2003) (8 pages) doi:10.1115/1.1567317 History: Received May 01, 2002; Revised October 01, 2002; Online August 04, 2003
Copyright © 2003 by ASME
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References

Chen, J., and Patton, R. J., 1999, Robust Model-Based Fault Diagnosis for Dynamic Systems, Kluwer Academic Publishers, Boston.
Himmelblau, D. M., 1978, Fault Detection and Diagnosis in Chemical and Petrochemical Processes, Chemical Engineering Monograph 8, Elsevier.
Tzafestas, S., Singh, M., and Schmidt, G., eds, 1987, System Fault Diagnostics, Reliability and Related Knowledge-Based Approaches, (two volumes), D. Reidel Publishing Co., Dordrecht (Proc. of First European Workshop on Fault Diagnostics, Reliability and Related Knowledge-Based Approaches, Island of Rhodes, Greece, Aug. 31-Sept. 3, 1986).
Pouliezos, A. D., and Stravrakakis, G. S., 1994, Real-Time Fault Monitoring of Industrial Processes, Kluwer Academic Publishers, Dordrecht.
Gertler, J. J., 1998, Fault Detection and Diagnosis in Engineering Systems, Marcel Dekker, New York.
Davis, A., ed., 1998, Handbook of Condition Monitoring: Techniques and Methodology, Chapman and Hall, London.
Hyvarinen, J., and Karki, S., eds., 1996, International Energy Agency Building Optimization and Fault Diagnosis Source Book, Technical Research Center of Finland, Laboratory of Heating and Ventilation.
Katipamula, S., Pratt, R. G., and Braun, J., 2001, “Building Systems Diagnostics and Predictive Maintenance,” CRC Handbook for HVAC&R Engineers, J. Kreider, Ed., CRC Press, Boca Raton, FL.
Comstock, M. C., Chen, B., and Braun, J. E., 1999, “Literature Review for Application of Fault Detection and Diagnostic Methods to Vapor Compression Cooling Equipment,” Ray W. Herrick Laboratories Report HL99-19, Report #4036-2, School of Mechanical Engineering, Purdue Univ., W. Lafayette, IN
Reddy, T. A., Niebur, D., Gordon, J., Seem, J., Cabrera, G., Jia, Y., Andersen, K. K., and Pericolo, P., 2001, “Development and Comparison of On-line Model Training Techniques for Model-Based FDD Methods Applied to Vapor Compression Chillers: Evaluation of Mathematical Models and Training Techniques,” Final Report, ASHRAE Research Project 1139, Sept.
Kao,  J. Y., and Pierce,  E. T., 1983, “Sensor Errors: Their Effect on Building Energy Consumption,” ASHRAE J., 25(12), p. 42.
Wagner,  J., and Shoureshi,  R., 1992, “Failure Detection Diagnostics for Thermofluid Systems,” ASME J. Dyn. Syst., Meas., Control, 114(4), pp. 699–706.
Rossi,  T. M., and Braun,  J. E., 1997, “A Statistical Rule-Based Fault Detection and Diagnostic Method for Vapor Compression Air Conditioners,” International Journal of Heating, Ventilating, Air-Conditioning and Refrigeration Research, 3(1), pp. 19–37.
Grimmelius,  H. T., Woud,  J. K., and Been,  G., 1995, “On-line Failure Diagnosis for Compression Refrigeration Plants,” Int. J. Refrig., 18(1), pp. 31–41.
Gordon, J. M., and Ng, K. C., 2000, Cool Thermodynamics, Cambridge International Science Publishing, Cambridge, UK.
Stylianou,  M., and Nikanpour,  D., 1996, “Performance Monitoring, Fault Detection, and Diagnosis of Reciprocating Chillers,” ASHRAE Trans., 102(1), pp. 615–627.
Stoecker, W. F., and Jones, J. W., 1982, Refrigeration and Air-Conditioning, 2nd Edition, McGraw-Hill, NY.
Peitsman,  H., and Bakker,  V., 1996, “Application of Black-Box Models to HVAC Systems for Fault Detection,” ASHRAE Trans., 102(1), pp. 628–640.
Bailey, M. B., 1998, “The Design and Viability of a Probabilistic Fault Detection and Diagnosis Method for Vapor Compression Cycle Equipment,” Ph.D., thesis, School of Civil Engineering, Univ. of Colorado, Boulder.
Braun, J. E., 1988, “Methodologies for the Design and Control of Central Cooling Plants,” Ph.D. thesis, University of Wisconsin-Madison.
Browne,  M. W., and Bansal,  P. K., 1998, “Challenges in Modeling Vapor Compression Liquid Chillers,” ASHRAE Trans., 104(1a), pp. 474–486.
McIntosh, I. B. D. 1999, “A Model-Based Fault Detection and Diagnosis Methodology for HVAC Subsystems,” Ph.D. thesis, Mechanical Engineering Department, Univ. of Wisconsin-Madison, Madison.
Bourdouxhe, J. P., Grodent, M., and LeBrun, J., 1999, HVAC1 Toolkit: A Toolkit for Primary HVAC System Energy Calculations, ASHRAE, Atlanta, GA.
ASHRAE, 1996, “HVAC System and Equipment,” ASHRAE, Atlanta, GA.
Braun, J. E., 2000, Personal communication.
Coleman, H. W., and Steele, W. G., 1999, Experimentation and Uncertainty Analysis for Engineers, 2nd Edition, John Wiley and Sons, New York.

Figures

Grahic Jump Location
Schematic Diagram for a Single-Stage Chiller
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Time series plots of the condenser and evaporator (UA) values determined from DUK chiller data (160 steady-state data points)
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Time series plots of the motor efficiency and the compressor polytropic efficiency values determined from DUK chiller data (160 steady-state data points)
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Measured and regression model-predicted lab chiller characteristic parameters
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Measured and predicted lab chiller performance data
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Summary plot of the relative uncertainty at 95% CL defined as the ratio (standard error/estimate) of the various characteristic parameters under different sensor grade types (commercial or industrial) for load factor values of 0.3 and 0.6 using single measurement point
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Same as Fig. 6, but for multiple measurements of 15 points

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