Efficiency and Demand Flexibility in Large Office Buildings
Data is associated with Report "Efficiency and Demand Flexibility in Large Office Buildings" by Joyce McLaren, Thomas Bowen, and Chioke Harris (https://doi.org/10.2172/1989231). Results are created from repos GEB_ECM_Impact_Estimator (https://github.nrel.gov/tbowen/GEB_ECM_Impact_Estimator). Results outline the changes in building load in large office buildings based on measures from NREL's Scout, and the impacts those changes in load have on grid-induced emissions, grid operating costs, and customer bills.
National Data shows results across all of the states covered above:
• “choropleth_billsavings_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
State Data is organized by states for the contiguous United States excluding Alaska and Hawaii:
• “annual_load_pattern_
This document details the methodology and tools used to estimate changes to large office building load patterns, customer utility bills, operating costs for utilities and associated grid emissions across a range of efficiency and demand flexibility measures and is supplementary to the report: McLaren, Joyce; Thomas Bowen, Chioke Harris. 2023. Efficiency and Demand Flexibility in Large Office Buildings. National Renewable Energy Laboratory: NREL/TP-7A40-83552. https://www.nrel.gov/docs/fy23osti/83552.pdf.
This document provides an overview of the data stored in this portal
Citation Formats
TY - DATA
AB - Data is associated with Report "Efficiency and Demand Flexibility in Large Office Buildings" by Joyce McLaren, Thomas Bowen, and Chioke Harris (https://doi.org/10.2172/1989231). Results are created from repos GEB_ECM_Impact_Estimator (https://github.nrel.gov/tbowen/GEB_ECM_Impact_Estimator). Results outline the changes in building load in large office buildings based on measures from NREL's Scout, and the impacts those changes in load have on grid-induced emissions, grid operating costs, and customer bills.
AU - McLaren
A2 - Bowen
A3 - Harris
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - Scout
KW - Cambium
KW - grid-interactive efficient buildings
KW - Marginal emissions
KW - emissions
KW - cost of electricity
KW - customer bills
LA - English
DA - 2023/01/13
PY - 2023
PB - National Renewable Energy Laboratory
T1 - Efficiency and Demand Flexibility in Large Office Buildings
UR - https://data.openei.org/submissions/8256
ER -
McLaren, et al. Efficiency and Demand Flexibility in Large Office Buildings. National Renewable Energy Laboratory, 13 January, 2023, NREL. https://data.nrel.gov/submissions/205.
McLaren, Bowen, & Harris. (2023). Efficiency and Demand Flexibility in Large Office Buildings. [Data set]. NREL. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/205
McLaren, Bowen, and Harris. Efficiency and Demand Flexibility in Large Office Buildings. National Renewable Energy Laboratory, January, 13, 2023. Distributed by NREL. https://data.nrel.gov/submissions/205
@misc{OEDI_Dataset_8256,
title = {Efficiency and Demand Flexibility in Large Office Buildings},
author = {McLaren and Bowen and Harris},
abstractNote = {Data is associated with Report "Efficiency and Demand Flexibility in Large Office Buildings" by Joyce McLaren, Thomas Bowen, and Chioke Harris (https://doi.org/10.2172/1989231). Results are created from repos GEB_ECM_Impact_Estimator (https://github.nrel.gov/tbowen/GEB_ECM_Impact_Estimator). Results outline the changes in building load in large office buildings based on measures from NREL's Scout, and the impacts those changes in load have on grid-induced emissions, grid operating costs, and customer bills.},
url = {https://data.nrel.gov/submissions/205},
year = {2023},
howpublished = {NREL, National Renewable Energy Laboratory, https://data.nrel.gov/submissions/205},
note = {Accessed: 2025-05-11}
}
Details
Data from Jan 13, 2023
Last updated Jan 17, 2025
Submitted Jan 13, 2023
Organization
National Renewable Energy Laboratory
Contact
Thomas Bowen
Authors
McLaren
National Renewable Energy LaboratoryBowen
National Renewable Energy LaboratoryHarris
National Renewable Energy LaboratoryOriginal Source
https://data.nrel.gov/submissions/205Research Areas
Keywords
Scout, Cambium, grid-interactive efficient buildings, Marginal emissions, emissions, cost of electricity, customer billsDOE Project Details
Project Name Technical Assistance: Grid-interactive Efficient Buildings
Project Number GMLC 4.2.5
