Author: Kang, Yanfen
Title: Development of a remote energy monitoring and detection system for a campus building
Advisors: Wang, Shengwei (BSE)
Degree: M.Eng.
Year: 2016
Subject: Buildings -- Energy conservation.
Hong Kong Polytechnic University -- Dissertations
Department: Department of Building Services Engineering
Pages: iv, ii, 73 pages : color illustrations
Language: English
Abstract: More energy is needed to meet the requirement of people's satisfaction in today's era of energy shortage, yet building energy consumption and people's comfort demand usually affect each other in an opposite way. Therefore, one primary challenge is to solve this conflict between energy consumption and occupants' comfort demand. Although numerous solutions have been developed in energy consumption monitoring, performance assessment and fault detection respectively, there is a deficiency in developing an integrated performance monitoring, assessment and fault detection system. Current building performance assessment tools are lacking the ability to integrate and process building monitoring data to assist in achieving a higher level of building performance. With respect to the above, this thesis aims to develop a remote real-time energy monitoring and fault detection system for campus buildings, in that case, the HVAC system may have better performance and higher efficiency. This thesis presents the performance indices (PI) models for a real campus building's (PolyU Phase 5) chilling system to assess its energy performance. Based on the models, an energy performance monitoring and detection system was implemented on the NIAGRA platform in Intelligent Building (IB) Laboratory. The network architecture of building automation system and campus network for connecting the field chiller plant and IB Lab are provided as well. This system can achieved the basic function of chiller plant real-time operation data query, real-time data display, alarm, historical data and trending etc.
Rights: All rights reserved
Access: restricted access

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/8677