Processed data from the Building Management System for the System Engineering Building. (in EN)
Abstract
The dataset spans November 2018 to May 2020 and includes time-series measurements corresponding to supply and return temperatures of air and water, air, hot water and cold water flow rates, energy and power consumption, set-points etc. as a single CSV file. In addition to the measurements, a metadata .json file, and a .ttl file to visualize the data as per BRICK schema are also included.
- Authors:
-
- PNNL
- Publication Date:
- Other Number(s):
- 69035
- DOE Contract Number:
- AC05-76RL01830
- Research Org.:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- EE-5B
- Subject:
- 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
- Keywords:
- VOLTTRON, SEB, BUILDINGS, HVAC
- OSTI Identifier:
- 1729908
- DOI:
- https://doi.org/10.25584/sebprocessed/1729908
Citation Formats
Chandan, Vikas, Schuman, Eddie, and Lerond, Jeremy. Processed data from the Building Management System for the System Engineering Building.. United States: N. p., 2020.
Web. doi:10.25584/sebprocessed/1729908.
Chandan, Vikas, Schuman, Eddie, & Lerond, Jeremy. Processed data from the Building Management System for the System Engineering Building.. United States. doi:https://doi.org/10.25584/sebprocessed/1729908
Chandan, Vikas, Schuman, Eddie, and Lerond, Jeremy. 2020.
"Processed data from the Building Management System for the System Engineering Building.". United States. doi:https://doi.org/10.25584/sebprocessed/1729908. https://www.osti.gov/servlets/purl/1729908. Pub date:Fri Dec 04 00:00:00 EST 2020
@article{osti_1729908,
title = {Processed data from the Building Management System for the System Engineering Building.},
author = {Chandan, Vikas and Schuman, Eddie and Lerond, Jeremy},
abstractNote = {The dataset spans November 2018 to May 2020 and includes time-series measurements corresponding to supply and return temperatures of air and water, air, hot water and cold water flow rates, energy and power consumption, set-points etc. as a single CSV file. In addition to the measurements, a metadata .json file, and a .ttl file to visualize the data as per BRICK schema are also included.},
doi = {10.25584/sebprocessed/1729908},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {12}
}
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