Development of Control Quality Factor for HVAC Control Loop Performance Assessment I - Methodology (ASHRAE RP-1587)

Yanfei Li, Zheng O'Neill, Xiaohui Zhou

Research output: Contribution to journalArticlepeer-review

9 Scopus Citations

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 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).'
Original languageAmerican English
Pages (from-to)656-673
Number of pages18
JournalScience and Technology for the Built Environment
Volume25
Issue number5
DOIs
StatePublished - 2019

NREL Publication Number

  • NREL/JA-5500-74925

Keywords

  • air conditioning
  • closed loop control systems
  • computational efficiency
  • least squares approximations
  • maximum likelihood estimation
  • sensitivity analysis

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