Abstract

Commercial buildings account for 18% of U.S. energy consumption, with 44% used for heating, ventilation, and air conditioning (HVAC). American Society of Heating, Refrigerating and Air Conditioning Engineers (ASHRAE) 90.1 requires HVAC systems to shutdown fans and outdoor air ventilation during unoccupied times, only allowing fans to cycle on, without outdoor air, to maintain thermostat setpoints. However, it is minimally understood how often existing building operations align with energy code requirements and the energy implications of not doing so. This study used building automation system data from 843 buildings containing 5706 air handling units (AHUs) to determine three unoccupied AHU shutdown control schemes ranging in efficiency and then estimated their prevalence in the U.S. commercial building stock, segmented by building type. ComStock was then used to analyze the energy savings potential of implementing the most energy efficient unoccupied shutdown control scheme in non-participating buildings across the U.S commercial building stock. Results show that only 23% of AHUs align completely with the ASHRAE 90.1 requirement. ComStock modeling results show 4% annual stock energy savings by switching all non-participating buildings to the most efficient scheme, with 19% annual energy savings demonstrated for the median building switching from the least efficient scheme to the most efficient. Findings also show 114.5 TBtu electricity and 75.8 TBtu natural gas fuel savings when converting to the most efficient scheme. These findings help stakeholders understand the high prevalence of buildings not aligning with the ASHRAE-90.1 requirements for unoccupied AHU shutdowns and the energy savings potential of utilizing the most efficient unoccupied AHU shutdown scheme.

References

1.
Commercial Buildings Energy Consumption Survey (CBECS)
, https://www.eia.gov/consumption/commercial/
3.
ASHRAE
,
2015
,
2015 Ashrae Handbook HVAC Applications
, Atlanta, GA.
4.
Schwedler
,
M. C. A.
,
2010
, “
ASHRAE STANDARD Energy Standard for Buildings Except Low-Rise Residential Buildings
,” Atlanta, GA, Vol.
2010
, pp.
209
211
.
5.
Prototype Building Models|Building Energy Codes Program
,” https://www.energycodes.gov/prototype-building-models#Commercial, Accessed February 6, 2022.
6.
Jacobs
,
P.
,
2003
, “
Small HVAC Problems and Potential Savings Reports
,” P500-03-082-A-25, California Energy Commission, Sacramento, CA.
7.
Hale
,
E.
,
Horsey
,
H.
,
Johnson
,
B.
,
Muratori
,
M.
,
Wilson
,
E.
,
Borlaug
,
B.
, et al
,
2018
, “
The Demand-Side Grid (dsgrid) Model Documentation
,” No. NREL/TP-6A20-71492, National Renewable Energy Lab.(NREL), Golden, CO.
8.
Wilson
,
P.
,
Eric
,
J. H.
,
Parker
,
A.
,
Fontanini
,
A.
,
Present
,
E.
,
Reyna
,
J. L.
,
Adhikari
,
R.
, et al
,
2022
, “
End-Use Load Profiles for the U.S. Building Stock: Methodology and Results of Model Calibration, Validation, and Uncertainty Quantification
,” No. NREL/TP-5500-80889, National Renewable Energy Lab.(NREL), Golden, CO.
9.
Caradonna
,
C.
, and
Trenbath
,
K.
,
202
, U.S. Commercial Building Stock Analysis of COVID-19 Mitigation Strategies, Presented at the 2022 Conference of Building Energy and Environment, Montreal, Quebec, Canada. https://www.nrel.gov/docs/fy22osti/82515.pdf
10.
Li
,
W.
,
Zhou
,
Y.
,
Cetin
,
K.
,
Eom
,
J.
,
Wang
,
Y.
,
Chen
,
G.
, and
Zhang
,
X.
,
2017
, “
Modeling Urban Building Energy Use: A Review of Modeling Approaches and Procedures
,”
Energy
,
141
, pp.
2445
2457
.
11.
Gagnon
,
P.
, and
Cole
,
W.
,
2022
, “
Planning for the Evolution of the Electric Grid With a Long-Run Marginal Emission Rate
,”
iScience
,
25
(
3
), p.
103915
.
12.
Workflow Inputs—OpenStudio-HPXML Documentation
, https://openstudio-hpxml.readthedocs.io/en/latest/workflow_inputs.html#default-values, Accessed September 2, 2022.
13.
Vijayakumar
,
G.
, “
RESNET Standards Development Committee 300 RESNET Standards Management Board
,” ANSI/RESNET/ICC 301-2022 – Standard forthe Calculation and Labeling of the Energy Performance of Dwelling and Sleeping Units using an Energy Rating Index.www.resnet.us/blog/resnet-consensus-standards/
14.
Gagnon
,
P.
,
Frazier
,
W.
,
Cole
,
W.
, and
Hale
,
E.
,
2021
, “
Cambium Documentation: Version 2021
,” No. NREL/TP-6A40-81611, National Renewable Energy Lab.(NREL), Golden, CO.
15.
Cambium|Energy Analysis|NREL
, https://www.nrel.gov/analysis/cambium.html, Accessed September 2, 2022.
16.
Emissions & Generation Resource Integrated Database (eGRID) |US EPA
, https://www.epa.gov/egrid, Accessed September 2, 2022.
17.
Greenhouse Gas Emissions From a Typical Passenger Vehicle | US EPA
, https://www.epa.gov/greenvehicles/greenhouse-gas-emissions-typical-passenger-vehicle, Accessed September 6, 2022.
18.
Public Service Company of Colorado Electric Tariff Index
.”
You do not currently have access to this content.