Model-based testbed for uncertainty quantification in building control systems with advanced sequences of operation

As advanced control sequences are developed to improve the operational efficiency of buildings, it is important to better understand the implications of uncertainty on system design and specification, and its propagation through system components to various performance measures. This paper describes the detailed development of a testbed for performing uncertainty quantification in heating, ventilating, and air-conditioning (HVAC) system operational parameters, which includes local loop controller dynamics and detailed control sequences at small time scales. The testbed was developed using a Modelica-based building model that allows controllers to be accurately simulated along with the building heat transfer physics. The model is demonstrated by applying it to uncertainty quantification in annual site electricity use and internal zone conditions, due to the inherent inaccuracies in system sensors and actuators. The results and the testbed are intended to aid others in the research community who may need a similar HVAC controls simulation testbed.

This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://doi.org/10.1061/(ASCE)AE.1943-5568.0000532

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Metadata

Work Title Model-based testbed for uncertainty quantification in building control systems with advanced sequences of operation
Access
Open Access
Creators
  1. Shadi M. Abdel Haleem
  2. Gregory S. Pavlak
  3. William P. Bahnfleth
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. American Society of Civil Engineers (ASCE)
Publication Date June 2022
Publisher Identifier (DOI)
  1. 10.1061/(asce)ae.1943-5568.0000532
Source
  1. Journal of Architectural Engineering
Deposited June 15, 2022

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Version 1
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  • Created
  • Added Haleem_JAE_UQTestbedPaper_withFigs-1.pdf
  • Added Creator Shadi M. Abdel Haleem
  • Added Creator Gregory S. Pavlak
  • Added Creator William P. Bahnfleth
  • Published
  • Updated Creator Gregory S. Pavlak