Building Energy Doctors: An SPC and Kalman Filter-Based Method for System-Level Fault Detection in HVAC Systems

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Building Energy Doctors: An SPC and Kalman Filter-Based Method for System-Level Fault Detection in HVAC Systems

Biao Sun [et.al.] - Nama Orang;

Buildingsworldwide account for nearly 40% of global energy consumption. The biggest energy consumer in buildings is the Heating, Ventilation and Air Conditioning (HVAC) systems. HVAC also ranks top in terms of number of complaints by tenants. Maintaining HVAC systems in good conditions through early
fault detection is thus a critical problem. The problem, however, is difficult since HVAC systems are large in scale, consisting of many coupling subsystems, building and equipment dependent, and working under time-varying conditions. In this paper, a modelbased and data-driven method is presented for robust system-level fault detection with potential for large-scale implementation. It is a synergistic integration of: ) Statistical Process Control (SPC) for measuring and analyzing variations; 2) Kalman filtering based on gray-boxmodels to provide predictions and to determine SPC control limits; and (3) system analysis for analyzing propagation of faults’ effects across subsystems. In the method, two new SPC rules are developed for detecting sudden and gradual faults. The method has been tested against a simulation model of the HVAC system for a 420-meter-high building. It detects both sudden faults and
gradual degradation, and both device and sensor faults. Furthermore, the method is simple and generic, and has potential replicability and scalability.

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Judul Seri: IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
No. Panggil: -
Penerbit: : ., 2014
Deskripsi Fisik: IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, VOL. 11, NO. 1, JANUARY 2014
Bahasa: English
ISBN/ISSN: -
Klasifikasi: -
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: VOL. 11, NO. 1
Subjek: TEKNIK
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Yuli/Agus

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