Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/13286
Title: On-Site Chiller Monitoring System For Predictive, Diagnostic and Optimization for HP Deport Road Plant
Authors: TANG CHEE WEN, GARY
Keywords: black-box, non intrusive, on-site real time, energy center, irreversibilities and root mean square error.
Issue Date: 2-Jun-2008
Source: TANG CHEE WEN, GARY (2008-06-02). On-Site Chiller Monitoring System For Predictive, Diagnostic and Optimization for HP Deport Road Plant. ScholarBank@NUS Repository.
Abstract: As large commercial and plants owners become more conscious and critical on chilled water system that not only consume a significant proportion of electric energy in a built environment, but also contribute to the bottom line of the operations, be it for human comfort or meeting process requirements for business continuity, an accurate, reliable and yet sufficiently comprehensive chiller monitoring system will become an integral part of today and future centralized chillers, which previously often being regarded as black-box. In view of these, Hewlett-Packard (HP) Depot Road plant chiller monitoring system is being commissioned with the ultimate aim to predict, diagnose and optimize the respective chillers in the system with non intrusive measurements consistent with the approach of Gordon and Ng. Data collected from the field is systematically being filtered by a macro program for steady state operating parameters which are then being processed with a MS Solver for critical irreversibility parameters such as internal entropy generation, finite rate heat exchange and heat leaks, which are used to track the chiller performance. Concomitantly, multiple linear regressions are performed to statistically determine the threshold of these parameters to minimize any false representations.Despite the large and yet complex chillers operations, equipped with built-in heat recovery such as economizer and intricate control mechanisms such as feed-forward adaptive control, the analytical model developed by Gordon and Ng from the basic principles of thermodynamics has been successfully tested and served as a basis for the analysis and evaluation of this research project.
URI: http://scholarbank.nus.edu.sg/handle/10635/13286
Appears in Collections:Master's Theses (Open)

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