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Title: Final Project Report: Self-Correcting Controls for VAV System Faults Filter/Fan/Coil and VAV Box Sections

Abstract

This report addresses original research by the Pacific Northwest National Laboratory for the California Institute for Energy and Environment on self-correcting controls for variable-air-volume (VAV) heating, ventilating and air-conditioning systems and focuses specifically on air handling and VAV box components of the air side of the system. A complete set of faults for these components was compiled and a fault mode analysis performed to understand the detectable symptoms of the faults and the chain of causation. A set of 26 algorithms was developed to facilitate the automatic correction of these faults in typical commercial VAV systems. These algorithms include training tests that are used during commissioning to develop models of normal system operation, passive diagnostics used to detect the symptoms of faults, proactive diagnostics used to diagnose the cause of a fault, and finally fault correction algorithms. Ten of the twenty six algorithms were implemented in a prototype software package that interfaces with a test bed facility at PNNL's Richland, WA, laboratory. Measurement bias faults were instigated in the supply-air temperature sensor and the supply-air flow meter to test the algorithms developed. The algorithms as implemented in the laboratory software correctly detected, diagnosed and corrected these faults. Finally, an economicmore » and impact assessment was performed for the State of California for deployment of self-correcting controls. Assuming 15% HVAC energy savings and a modeled deployment profile, 3.1-5.8 TBu of energy savings are possible by year 15.« less

Authors:
; ; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1032697
Report Number(s):
PNNL-20452
600305000; TRN: US201202%%401
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; AIR CONDITIONING; ALGORITHMS; CHAINS; COMMISSIONING; ECONOMICS; HEATING; METERS; SENSORS; SYMPTOMS; TRAINING

Citation Formats

Brambley, Michael R., Fernandez, Nicholas, Wang, Weimin, Cort, Katherine A., Cho, Heejin, Ngo, Hung, and Goddard, James K. Final Project Report: Self-Correcting Controls for VAV System Faults Filter/Fan/Coil and VAV Box Sections. United States: N. p., 2011. Web. doi:10.2172/1032697.
Brambley, Michael R., Fernandez, Nicholas, Wang, Weimin, Cort, Katherine A., Cho, Heejin, Ngo, Hung, & Goddard, James K. Final Project Report: Self-Correcting Controls for VAV System Faults Filter/Fan/Coil and VAV Box Sections. United States. https://doi.org/10.2172/1032697
Brambley, Michael R., Fernandez, Nicholas, Wang, Weimin, Cort, Katherine A., Cho, Heejin, Ngo, Hung, and Goddard, James K. 2011. "Final Project Report: Self-Correcting Controls for VAV System Faults Filter/Fan/Coil and VAV Box Sections". United States. https://doi.org/10.2172/1032697. https://www.osti.gov/servlets/purl/1032697.
@article{osti_1032697,
title = {Final Project Report: Self-Correcting Controls for VAV System Faults Filter/Fan/Coil and VAV Box Sections},
author = {Brambley, Michael R. and Fernandez, Nicholas and Wang, Weimin and Cort, Katherine A. and Cho, Heejin and Ngo, Hung and Goddard, James K.},
abstractNote = {This report addresses original research by the Pacific Northwest National Laboratory for the California Institute for Energy and Environment on self-correcting controls for variable-air-volume (VAV) heating, ventilating and air-conditioning systems and focuses specifically on air handling and VAV box components of the air side of the system. A complete set of faults for these components was compiled and a fault mode analysis performed to understand the detectable symptoms of the faults and the chain of causation. A set of 26 algorithms was developed to facilitate the automatic correction of these faults in typical commercial VAV systems. These algorithms include training tests that are used during commissioning to develop models of normal system operation, passive diagnostics used to detect the symptoms of faults, proactive diagnostics used to diagnose the cause of a fault, and finally fault correction algorithms. Ten of the twenty six algorithms were implemented in a prototype software package that interfaces with a test bed facility at PNNL's Richland, WA, laboratory. Measurement bias faults were instigated in the supply-air temperature sensor and the supply-air flow meter to test the algorithms developed. The algorithms as implemented in the laboratory software correctly detected, diagnosed and corrected these faults. Finally, an economic and impact assessment was performed for the State of California for deployment of self-correcting controls. Assuming 15% HVAC energy savings and a modeled deployment profile, 3.1-5.8 TBu of energy savings are possible by year 15.},
doi = {10.2172/1032697},
url = {https://www.osti.gov/biblio/1032697}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun May 01 00:00:00 EDT 2011},
month = {Sun May 01 00:00:00 EDT 2011}
}