Cornell Ithaca Campus heat use data for a model year
Hourly steam use data for all significant buildings from the fiscal year (FY) 2017 (1 July 2016 - 30 June 2017) are provided. The total annual campus heating load in FY 2017 was about 0.81 trillion Btu (283,000 MWth-hrs).
The data are presented as a spreadsheet, detailing on an hourly basis the total steam utilized for all buildings in each of three categories of buildings. Also available are conversions of that steam mass to Megawatts-thermal (MWth). For the same hour, the outdoor temperature, relative humidity, and enthalpy values are listed.
Citation Formats
TY - DATA
AB - Hourly steam use data for all significant buildings from the fiscal year (FY) 2017 (1 July 2016 - 30 June 2017) are provided. The total annual campus heating load in FY 2017 was about 0.81 trillion Btu (283,000 MWth-hrs).
The data are presented as a spreadsheet, detailing on an hourly basis the total steam utilized for all buildings in each of three categories of buildings. Also available are conversions of that steam mass to Megawatts-thermal (MWth). For the same hour, the outdoor temperature, relative humidity, and enthalpy values are listed.
AU - Beyers, Steve
A2 - Gustafson, J. Olaf
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1632875
KW - geothermal
KW - energy
KW - Cornell University
KW - district heating
KW - direct-use heating
KW - New York state
KW - energy metering
KW - building heat demand
KW - Appalachian Basin
KW - low-temperature geothermal
KW - DDU
KW - steam data
KW - direct use
KW - heat pump
KW - ghp
KW - temperature
KW - earth source heat
KW - EA
KW - environment
KW - environmental
KW - assessment
KW - heating
KW - steam use data
LA - English
DA - 2019/11/13
PY - 2019
PB - Cornell University
T1 - Cornell Ithaca Campus heat use data for a model year
UR - https://doi.org/10.15121/1632875
ER -
Beyers, Steve, and J. Olaf Gustafson. Cornell Ithaca Campus heat use data for a model year. Cornell University, 13 November, 2019, GDR. https://doi.org/10.15121/1632875.
Beyers, S., & Gustafson, J. (2019). Cornell Ithaca Campus heat use data for a model year. [Data set]. GDR. Cornell University. https://doi.org/10.15121/1632875
Beyers, Steve and J. Olaf Gustafson. Cornell Ithaca Campus heat use data for a model year. Cornell University, November, 13, 2019. Distributed by GDR. https://doi.org/10.15121/1632875
@misc{OEDI_Dataset_7320,
title = {Cornell Ithaca Campus heat use data for a model year},
author = {Beyers, Steve and Gustafson, J. Olaf},
abstractNote = {Hourly steam use data for all significant buildings from the fiscal year (FY) 2017 (1 July 2016 - 30 June 2017) are provided. The total annual campus heating load in FY 2017 was about 0.81 trillion Btu (283,000 MWth-hrs).
The data are presented as a spreadsheet, detailing on an hourly basis the total steam utilized for all buildings in each of three categories of buildings. Also available are conversions of that steam mass to Megawatts-thermal (MWth). For the same hour, the outdoor temperature, relative humidity, and enthalpy values are listed.},
url = {https://gdr.openei.org/submissions/1186},
year = {2019},
howpublished = {GDR, Cornell University, https://doi.org/10.15121/1632875},
note = {Accessed: 2025-05-29},
doi = {10.15121/1632875}
}
https://dx.doi.org/10.15121/1632875
Details
Data from Nov 13, 2019
Last updated Jul 8, 2021
Submitted Nov 15, 2019
Organization
Cornell University
Contact
Teresa Jordan
607.255.3596
Authors
Original Source
https://gdr.openei.org/submissions/1186Research Areas
Keywords
geothermal, energy, Cornell University, district heating, direct-use heating, New York state, energy metering, building heat demand, Appalachian Basin, low-temperature geothermal, DDU, steam data, direct use, heat pump, ghp, temperature, earth source heat, EA, environment, environmental, assessment, heating, steam use dataDOE Project Details
Project Name EARTH SOURCE HEAT: A CASCADED SYSTEMS APPROACH TO DDU OF GEOTHERMAL ENERGY ON THE CORNELL CAMPUS
Project Lead Arlene Anderson
Project Number EE0008103
