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 - Geothermal Data Repository
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, Geothermal Data Repository. https://doi.org/10.15121/1632875.
Beyers, S., & Gustafson, J. (2019). Cornell Ithaca Campus heat use data for a model year. [Data set]. Geothermal Data Repository. 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 Geothermal Data Repository. https://doi.org/10.15121/1632875
@misc{GDR_Dataset_1186,
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 = {Geothermal Data Repository, Cornell University, https://doi.org/10.15121/1632875},
note = {Accessed: 2025-05-07},
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
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