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JAYAPRAKASH SATHTHASIVAM,GARY TANG,KIM CHOON NG 대한설비공학회 2010 International Journal Of Air-Conditioning and Refr Vol.18 No.1
The application of Fault Detection and Diagnosis (FDD) could play a key role in operating chillers at optimum e±ciency. As air-conditioning consumes a significant proportion (approximately 30% to 50%) of the total power consumption of a commercial building, an e®ective FDD tool is very much required for a reliable and economic chiller operation. In this paper, the renowned Simple Thermodynamic Model, STM (also known as Gordon and Ng Universal Chiller Model) was utilized to detect and diagnose some of the common faults in centrifugal chillers. Based on the readily available, nonintrusive, steady state measurements extracted from the on-site chillers, the STM model was regressed to obtain two physically meaningful coe±cients, namely, Thermal Resistance and Internal Entropy Generation. These information-rich coe±- cients were then analyzed to evaluate the performances and the conditions of the chillers. Despite the large and yet complex on-site chiller operations, equipped with built-in heat recovery, such as economizer and intricate control mechanisms, the predictive and diagnostic capabilities of STM in detecting chiller faults has been successfully tested and evaluated based on the data collected from on-site centrifugal chillers. Faults like condenser fouling and reduction in condenser cooling water flow rate were succinctly captured by the STM model.