Performance Simulation and Analysis of Occupancy-Based Control for Office Buildings with Variable-Air-Volume Systems

Variable-air-volume (VAV) systems are used in many office buildings. The minimum airflow rate setting of VAV terminal boxes has a significant impact on both energy consumption and indoor air quality. Conventional controls usually have the terminal’s minimum airflow rate at a constant (e.g., 30% or m...

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Main Authors: Weimin Wang, Jian Zhang, Michael R. Brambley, Benjamin Futrell
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/15/3756
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author Weimin Wang
Jian Zhang
Michael R. Brambley
Benjamin Futrell
author_facet Weimin Wang
Jian Zhang
Michael R. Brambley
Benjamin Futrell
author_sort Weimin Wang
collection DOAJ
description Variable-air-volume (VAV) systems are used in many office buildings. The minimum airflow rate setting of VAV terminal boxes has a significant impact on both energy consumption and indoor air quality. Conventional controls usually have the terminal’s minimum airflow rate at a constant (e.g., 30% or more of the terminal design airflow rate), irrespective of the occupancy status, which may cause problems, such as excessive simultaneous heating and cooling, under ventilation, and thermal comfort issues. This paper examines the potential of energy savings from occupancy-based controls (OBCs). The sensed occupancy information, either occupant presence or people count, is used to determine the airflow rate of terminal boxes, the thermostat setpoints, and the lighting control. Using EnergyPlus, a whole-building energy modeling software, the energy savings of OBC strategies are evaluated for representative existing medium office buildings in the U.S. The simulation results show that the conventional OBC, based on occupant presence sensing, can save 8% of whole-building energy use in Miami (hot climate) for systems without air-side economizer and about 13% in both Baltimore (mixed climate) and Chicago (cold climate). Comparatively, the advanced OBC, based on people counting, can save 8% in Miami to 23% in Baltimore for systems with economizers. The outdoor-air fraction of the supply air from air-handling units significantly affects the potential energy savings from the advanced OBC strategy. In addition to energy savings, the advanced OBC satisfies the zone ventilation during all occupied hours over the whole year.
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spelling doaj.art-8cbdf4e5380c447ab01d68120d2e5d432023-11-20T07:30:10ZengMDPI AGEnergies1996-10732020-07-011315375610.3390/en13153756Performance Simulation and Analysis of Occupancy-Based Control for Office Buildings with Variable-Air-Volume SystemsWeimin Wang0Jian Zhang1Michael R. Brambley2Benjamin Futrell3Department of Engineering Technology, University of North Carolina at Charlotte, Charlotte, NC 28223, USAPacific Northwest National Laboratory, Richland, WA 99354, USAPacific Northwest National Laboratory, Richland, WA 99354, USAEnergy Production and Infrastructure Center, University of North Carolina at Charlotte, Charlotte, NC 28223, USAVariable-air-volume (VAV) systems are used in many office buildings. The minimum airflow rate setting of VAV terminal boxes has a significant impact on both energy consumption and indoor air quality. Conventional controls usually have the terminal’s minimum airflow rate at a constant (e.g., 30% or more of the terminal design airflow rate), irrespective of the occupancy status, which may cause problems, such as excessive simultaneous heating and cooling, under ventilation, and thermal comfort issues. This paper examines the potential of energy savings from occupancy-based controls (OBCs). The sensed occupancy information, either occupant presence or people count, is used to determine the airflow rate of terminal boxes, the thermostat setpoints, and the lighting control. Using EnergyPlus, a whole-building energy modeling software, the energy savings of OBC strategies are evaluated for representative existing medium office buildings in the U.S. The simulation results show that the conventional OBC, based on occupant presence sensing, can save 8% of whole-building energy use in Miami (hot climate) for systems without air-side economizer and about 13% in both Baltimore (mixed climate) and Chicago (cold climate). Comparatively, the advanced OBC, based on people counting, can save 8% in Miami to 23% in Baltimore for systems with economizers. The outdoor-air fraction of the supply air from air-handling units significantly affects the potential energy savings from the advanced OBC strategy. In addition to energy savings, the advanced OBC satisfies the zone ventilation during all occupied hours over the whole year.https://www.mdpi.com/1996-1073/13/15/3756occupancy sensoroccupancy-based controlvariable-air-volume systembuilding simulationhot climatecold climate
spellingShingle Weimin Wang
Jian Zhang
Michael R. Brambley
Benjamin Futrell
Performance Simulation and Analysis of Occupancy-Based Control for Office Buildings with Variable-Air-Volume Systems
Energies
occupancy sensor
occupancy-based control
variable-air-volume system
building simulation
hot climate
cold climate
title Performance Simulation and Analysis of Occupancy-Based Control for Office Buildings with Variable-Air-Volume Systems
title_full Performance Simulation and Analysis of Occupancy-Based Control for Office Buildings with Variable-Air-Volume Systems
title_fullStr Performance Simulation and Analysis of Occupancy-Based Control for Office Buildings with Variable-Air-Volume Systems
title_full_unstemmed Performance Simulation and Analysis of Occupancy-Based Control for Office Buildings with Variable-Air-Volume Systems
title_short Performance Simulation and Analysis of Occupancy-Based Control for Office Buildings with Variable-Air-Volume Systems
title_sort performance simulation and analysis of occupancy based control for office buildings with variable air volume systems
topic occupancy sensor
occupancy-based control
variable-air-volume system
building simulation
hot climate
cold climate
url https://www.mdpi.com/1996-1073/13/15/3756
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