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Title: Development of control quality factor for HVAC control loop performance assessment I—Methodology (ASHRAE RP-1587)

Abstract

This article is the second paper from the ASHRAE research project RP-1587, focusing on the methodology of obtaining a control quality factor (CQF). This article presents a development of two CQFs for assessing the heating, ventilation, and air-conditioning (HVAC) control loop performance. Both CQFs are able to detect whether the control loop is able to maintain the setpoint and identify the loop's ability to handle disturbances. In addition, the reversal behaviors are assessed as well. The first CQF (CQF-Harris) is proposed based on the normalized Harris index using the recursive least squares method. This recursive least squares method is selected because of its computational efficiency compared with the maximum likelihood estimation method. The second CQF (CQF-EWMA) is based on the exponentially weighted moving average of the error ratio. The assessment scale of excellent, good, fair, bad, and failed, which indicates the quality of the HVAC control loops, is established as well. The sensitivity analysis for both CQFs is also conducted, and it provides insights on choosing the appropriate parameters to compute such CQFs. Such parameters include the sampling frequency, the length of the moving window, and the variance of the unmeasured disturbance. The field evaluations and tests of the proposedmore » CQFs for simulated control loops and real control loops can be found in the companion paper with the title 'Development of Control Quality Factor for HVAC Control Loop Performance Assessment - III: Field Testing and Results (ASHRAE RP-1587).'« less

Authors:
ORCiD logo [1];  [2];  [3]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  2. Univ. of Alabama, Tuscaloosa, AL (United States)
  3. Seventhwave, Madison, WI (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1566051
Report Number(s):
NREL/JA-5500-74925
Journal ID: ISSN 2374-4731
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Science and Technology for the Built Environment
Additional Journal Information:
Journal Volume: 25; Journal Issue: 5; Journal ID: ISSN 2374-4731
Publisher:
Taylor & Francis
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; air conditioning; closed loop control systems; computational efficiency; least squares approximations; maximum likelihood estimation; sensitivity analysis

Citation Formats

Li, Yanfei, O'Neill, Zheng D., and Zhou, Xiaohui. Development of control quality factor for HVAC control loop performance assessment I—Methodology (ASHRAE RP-1587). United States: N. p., 2019. Web. doi:10.1080/23744731.2018.1556055.
Li, Yanfei, O'Neill, Zheng D., & Zhou, Xiaohui. Development of control quality factor for HVAC control loop performance assessment I—Methodology (ASHRAE RP-1587). United States. doi:10.1080/23744731.2018.1556055.
Li, Yanfei, O'Neill, Zheng D., and Zhou, Xiaohui. Wed . "Development of control quality factor for HVAC control loop performance assessment I—Methodology (ASHRAE RP-1587)". United States. doi:10.1080/23744731.2018.1556055. https://www.osti.gov/servlets/purl/1566051.
@article{osti_1566051,
title = {Development of control quality factor for HVAC control loop performance assessment I—Methodology (ASHRAE RP-1587)},
author = {Li, Yanfei and O'Neill, Zheng D. and Zhou, Xiaohui},
abstractNote = {This article is the second paper from the ASHRAE research project RP-1587, focusing on the methodology of obtaining a control quality factor (CQF). This article presents a development of two CQFs for assessing the heating, ventilation, and air-conditioning (HVAC) control loop performance. Both CQFs are able to detect whether the control loop is able to maintain the setpoint and identify the loop's ability to handle disturbances. In addition, the reversal behaviors are assessed as well. The first CQF (CQF-Harris) is proposed based on the normalized Harris index using the recursive least squares method. This recursive least squares method is selected because of its computational efficiency compared with the maximum likelihood estimation method. The second CQF (CQF-EWMA) is based on the exponentially weighted moving average of the error ratio. The assessment scale of excellent, good, fair, bad, and failed, which indicates the quality of the HVAC control loops, is established as well. The sensitivity analysis for both CQFs is also conducted, and it provides insights on choosing the appropriate parameters to compute such CQFs. Such parameters include the sampling frequency, the length of the moving window, and the variance of the unmeasured disturbance. The field evaluations and tests of the proposed CQFs for simulated control loops and real control loops can be found in the companion paper with the title 'Development of Control Quality Factor for HVAC Control Loop Performance Assessment - III: Field Testing and Results (ASHRAE RP-1587).'},
doi = {10.1080/23744731.2018.1556055},
journal = {Science and Technology for the Built Environment},
number = 5,
volume = 25,
place = {United States},
year = {2019},
month = {1}
}

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