Lawrence Berkeley National Laboratory Building 59, Berkeley, California
The Building 59 at the Lawrence Berkeley National Laboratory is a medium-sized office building with two office floors, one mechanical equipment floor, and one floor for NERSC data and computing center. The dataset only covers the two office floors. The building management system monitors and archives building-level electricity usage, HVAC and lighting system states (e.g., setpoint, temperature, flow rate, pressure), indoor environmental conditions (zone air temperature, relative humidity, CO2), on-site weather (outdoor air temperature, relative humidity, solar radiation), and occupant counts, WiFi connected devices. This dataset supports multiple use cases, such as model predictive control and occupant related demand management.
Citation Formats
Building Technologies Office (BTO). (2022). Lawrence Berkeley National Laboratory Building 59, Berkeley, California [data set]. Retrieved from https://dx.doi.org/10.25584/1763770.
Hong, Tianzhen, Luo, Na. Lawrence Berkeley National Laboratory Building 59, Berkeley, California. United States: N.p., 23 Feb, 2022. Web. doi: 10.25584/1763770.
Hong, Tianzhen, Luo, Na. Lawrence Berkeley National Laboratory Building 59, Berkeley, California. United States. https://dx.doi.org/10.25584/1763770
Hong, Tianzhen, Luo, Na. 2022. "Lawrence Berkeley National Laboratory Building 59, Berkeley, California". United States. https://dx.doi.org/10.25584/1763770. /ds/lbnlbldg59.
@div{oedi_5664, title = {Lawrence Berkeley National Laboratory Building 59, Berkeley, California}, author = {Hong, Tianzhen, Luo, Na.}, abstractNote = {The Building 59 at the Lawrence Berkeley National Laboratory is a medium-sized office building with two office floors, one mechanical equipment floor, and one floor for NERSC data and computing center. The dataset only covers the two office floors. The building management system monitors and archives building-level electricity usage, HVAC and lighting system states (e.g., setpoint, temperature, flow rate, pressure), indoor environmental conditions (zone air temperature, relative humidity, CO2), on-site weather (outdoor air temperature, relative humidity, solar radiation), and occupant counts, WiFi connected devices. This dataset supports multiple use cases, such as model predictive control and occupant related demand management.}, doi = {10.25584/1763770}, url = {/ds/lbnlbldg59}, journal = {}, number = , volume = , place = {United States}, year = {2022}, month = {02}}
https://dx.doi.org/10.25584/1763770
Details
Data from Feb 23, 2022
Last updated Feb 23, 2022
Submitted Feb 23, 2022
Organization
Building Technologies Office (BTO)
Contact
Tianzhen Hong
Authors
Original Source
/ds/lbnlbldg59Keywords
DOE Project Details
Project Name Building Data Platform
Project Number 69035