| Description |
1 online resource (16 pages) : color illustrations, color maps. |
|
text txt rdacontent |
|
computer c rdamedia |
|
online resource cr rdacarrier |
| Series |
NREL/CP ; 5500-77102 |
|
Conference paper (National Renewable Energy Laboratory (U.S.)) ; 5500-77102.
|
| Note |
"September 2020." |
|
"Presented at the 2020 ACEEE Summer Study on Energy Efficiency in Buildings, August 17-21, 2020." |
| Bibliography |
Includes bibliographical references (pages 14-16). |
| Type Of Report |
Conference paper |
| Funding |
Sponsored by National Renewable Energy Laboratory DE-AC36-08GO28308 |
| Note |
Description based on online resource; title from PDF title page (NREL, viewed on April 10, 2023). |
| Summary |
With increasing deployment of Advanced Metering Infrastructure (AMI), Building Automation System (BAS) controls, Internet of Things (IoT) network devices, and data-driven evaluation, measurement, and verification studies, the building sector is currently generating a staggering amount of energy-related data. In the right hands, these data sets can contribute to increased comfort and energy savings for building occupants and a more reliable electrical grid; however, due to a combination of factors, including significant privacy concerns, much of the data that are presently generated and stored are not used outside of basic operational applications. In the past year, our team has dedicated over 2,000 person-hours to accessing building energy data for a project funded by the U.S. Department of Energy (DOE) Building Technologies Office. We sought whole-building or end-use (e.g., lighting) timeseries data at the individual-building or equipment level where possible or aggregated information, such as timeseries averages and quartiles by building type (e.g., office, retail, hospital), where sharing individual building information was not an option. We are additionally working with IoT and BAS data sets to derive information important to the project. We have assembled an extensive data set that will enable the development of publicly available end-use load profiles to benefit the U.S. building and electricity industries. Here we present an overview of the data set that we have assembled to date, the motivators and approaches that got us here, and the lessons we learned through our efforts. We also discuss work underway that presents additional options for future data access. |
| Subject |
ACEEE Summer Study on Energy Efficiency in Buildings.
|
|
Architecture and energy conservation -- United States.
|
|
Smart power grids -- United States.
|
|
Architecture et économies d'énergie -- États-Unis.
|
|
Réseaux électriques intelligents -- États-Unis.
|
|
Architecture and energy conservation
|
|
Smart power grids
|
|
United States https://id.oclc.org/worldcat/entity/E39PBJtxgQXMWqmjMjjwXRHgrq
|
| Indexed Term |
building energy data |
|
buildings |
|
end-use load profiles |
|
large-scale data aggregation |
| Added Author |
National Renewable Energy Laboratory (U.S.), issuing body.
|
| Added Title |
Case study of large-scale data aggregation: preprint |
| Standard No. |
1669620 OSTI ID |
|
0000-0003-4790-9812 |
|
0000-0003-3185-655X |
|
0000-0001-5222-4004 |
|
0000-0002-0832-0880 |
| Gpo Item No. |
0430-P-04 (online) |
| Sudoc No. |
E 9.17:NREL/CP-5500-77102 |
|
