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Field evaluation of zone temperature response to control actions in cooling systems of small and medium-sized office buildings

Journal Article · · Energy and Buildings
 [1];  [1];  [2];  [2]
  1. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
  2. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
The response of zone temperature to control actions in heating, ventilation, and air conditioning (HVAC) systems, known as zone temperature response, has been a central focus of building control research owing to its crucial role in determining control performance. However, existing studies often overlook the representativeness of the buildings being studied, resulting in unclear generalizations. In addition, those studies tend to focus on a single aspect of the response. Furthermore, this paper provides the first comprehensive characterization of zone temperature response applicable to a clearly defined building sector—small and medium-sized office (SMO) buildings (<5000 m2) in the US. Specifically, two representative SMO buildings, selected based on the US Department of Energy’s commercial prototype buildings, were studied. Field tests were conducted over a 2-month period during summer, and the collected data were analyzed with two key metrics—delay time and nonlinearity index—to quantify zone temperature response, capturing both short- and long-term patterns. Beyond this quantitative characterization, the analysis reveals that the HVAC system type, rather than factors like floor area or zone location, is the primary determinant of the zone temperature response. Drawing on the field test results, we recommend that building control strategies monitor zone temperatures at intervals shorter than 10 minutes, configure controls independently for VAV- and RTU-served zones, and implement nonlinear methods at the zone level—particularly for VAV zones—rather than across the entire building.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
3002822
Journal Information:
Energy and Buildings, Journal Name: Energy and Buildings Vol. 349; ISSN 0378-7788
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

References (6)

Real-time prediction model for indoor temperature in a commercial building journal December 2018
Review of modeling methods for HVAC systems journal June 2014
Occupant-oriented mixed-mode EnergyPlus predictive control simulation journal April 2016
Predication control for indoor temperature time-delay using Elman neural network in variable air volume system journal November 2017
Ancillary Service to the Grid Through Control of Fans in Commercial Building HVAC Systems journal July 2014
Experimental Evaluation of Frequency Regulation From Commercial Building HVAC Systems journal March 2015