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Lawrence Berkeley National Laboratory Building 59, Berkeley, California

Publicly accessible License 

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.
Export Citation to RIS
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

Tianzhen Hong

Lawrence Berkeley National Laboratory

Na Luo

Lawrence Berkeley National Laboratory

Original Source

/ds/lbnlbldg59

Keywords

DOE Project Details

Project Name Building Data Platform

Project Number 69035

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