Lawrence Berkeley National Laboratory Building 59, Berkeley, California
Building 59 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, indoor air quality), 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., 14 Mar, 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. https://bbd.labworks.org/ds/lbnlbldg59.
@div{oedi_5680, title = {Lawrence Berkeley National Laboratory Building 59, Berkeley, California}, author = {Hong, Tianzhen, Luo, Na.}, abstractNote = {Building 59 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, indoor air quality), 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 = {https://bbd.labworks.org/ds/lbnlbldg59}, journal = {}, number = , volume = , place = {United States}, year = {2022}, month = {03}}
https://dx.doi.org/10.25584/1763770
Details
Data from Mar 14, 2022
Last updated Aug 10, 2022
Submitted Mar 14, 2022
Organization
Building Technologies Office (BTO)
Contact
Tianzhen Hong
Authors
Original Source
https://bbd.labworks.org/ds/lbnlbldg59Keywords
DOE Project Details
Project Name Building Data Platform
Project Number 69035