Deep Direct-Use Feasibility Study Temperature-Depth Estimates for West Virginia University, Morgantown, WV
This dataset contains data spreadsheets and figures that summarize the results of a stochastic analysis of temperatures at depth below the West Virginia University campus in Morgantown, WV. These results are extracted from a study by Smith (2019), whose results are included in a GDR submission that provides rasters and shapefiles for the Appalachian Basin states of New York, Pennsylvania, and West Virginia (GDR submission #1182). Uncertainties considered included geologic properties, thermal properties, and uncertainty from geostatistical interpolation of the surface heat flow. A Monte Carlo analysis of these uncertain properties was used to predict temperatures at depth using a 1-D heat conduction model. For the pixel corresponding to West Virginia University, a .csv file containing the 10,000 temperature-depth profiles estimated from a Monte Carlo analysis is provided. Temperatures are provided for depths from 1-5 km in 0.5 km increments. These data are summarized in a figure containing violin plots that illustrates the probability of obtaining certain temperatures at depth for Morgantown.
Citation Formats
TY - DATA
AB - This dataset contains data spreadsheets and figures that summarize the results of a stochastic analysis of temperatures at depth below the West Virginia University campus in Morgantown, WV. These results are extracted from a study by Smith (2019), whose results are included in a GDR submission that provides rasters and shapefiles for the Appalachian Basin states of New York, Pennsylvania, and West Virginia (GDR submission #1182). Uncertainties considered included geologic properties, thermal properties, and uncertainty from geostatistical interpolation of the surface heat flow. A Monte Carlo analysis of these uncertain properties was used to predict temperatures at depth using a 1-D heat conduction model. For the pixel corresponding to West Virginia University, a .csv file containing the 10,000 temperature-depth profiles estimated from a Monte Carlo analysis is provided. Temperatures are provided for depths from 1-5 km in 0.5 km increments. These data are summarized in a figure containing violin plots that illustrates the probability of obtaining certain temperatures at depth for Morgantown.
AU - Smith, Jared
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1593282
KW - geothermal
KW - Appalachian Basin
KW - WVU
KW - Cornell
KW - low-temperature geothermal
KW - resource assessment
KW - uncertainty analysis
KW - DDU
KW - Deep Direct-Use
KW - Morgantown
KW - Monte Carlo analysis
KW - temperature-depth estimates
KW - low-temperature
KW - resource potential
KW - EGS
KW - temperature data
KW - depth data
LA - English
DA - 2019/12/19
PY - 2019
PB - West Virginia University
T1 - Deep Direct-Use Feasibility Study Temperature-Depth Estimates for West Virginia University, Morgantown, WV
UR - https://doi.org/10.15121/1593282
ER -
Smith, Jared. Deep Direct-Use Feasibility Study Temperature-Depth Estimates for West Virginia University, Morgantown, WV. West Virginia University, 19 December, 2019, GDR. https://doi.org/10.15121/1593282.
Smith, J. (2019). Deep Direct-Use Feasibility Study Temperature-Depth Estimates for West Virginia University, Morgantown, WV. [Data set]. GDR. West Virginia University. https://doi.org/10.15121/1593282
Smith, Jared. Deep Direct-Use Feasibility Study Temperature-Depth Estimates for West Virginia University, Morgantown, WV. West Virginia University, December, 19, 2019. Distributed by GDR. https://doi.org/10.15121/1593282
@misc{OEDI_Dataset_7326,
title = {Deep Direct-Use Feasibility Study Temperature-Depth Estimates for West Virginia University, Morgantown, WV},
author = {Smith, Jared},
abstractNote = {This dataset contains data spreadsheets and figures that summarize the results of a stochastic analysis of temperatures at depth below the West Virginia University campus in Morgantown, WV. These results are extracted from a study by Smith (2019), whose results are included in a GDR submission that provides rasters and shapefiles for the Appalachian Basin states of New York, Pennsylvania, and West Virginia (GDR submission #1182). Uncertainties considered included geologic properties, thermal properties, and uncertainty from geostatistical interpolation of the surface heat flow. A Monte Carlo analysis of these uncertain properties was used to predict temperatures at depth using a 1-D heat conduction model. For the pixel corresponding to West Virginia University, a .csv file containing the 10,000 temperature-depth profiles estimated from a Monte Carlo analysis is provided. Temperatures are provided for depths from 1-5 km in 0.5 km increments. These data are summarized in a figure containing violin plots that illustrates the probability of obtaining certain temperatures at depth for Morgantown.},
url = {https://gdr.openei.org/submissions/1192},
year = {2019},
howpublished = {GDR, West Virginia University, https://doi.org/10.15121/1593282},
note = {Accessed: 2025-05-19},
doi = {10.15121/1593282}
}
https://dx.doi.org/10.15121/1593282
Details
Data from Dec 19, 2019
Last updated Jan 23, 2020
Submitted Dec 19, 2019
Organization
West Virginia University
Contact
Nagasree Garapati
304.293.5028
Authors
Original Source
https://gdr.openei.org/submissions/1192Research Areas
Keywords
geothermal, Appalachian Basin, WVU, Cornell, low-temperature geothermal, resource assessment, uncertainty analysis, DDU, Deep Direct-Use, Morgantown, Monte Carlo analysis, temperature-depth estimates, low-temperature, resource potential, EGS, temperature data, depth dataDOE Project Details
Project Name Feasibility of Deep Direct Use Geothermal on the West Virginia University Campus-Morgantown, WV
Project Lead Arlene Anderson
Project Number EE0008105
