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 - Geothermal Data Repository
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, Geothermal Data Repository. 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]. Geothermal Data Repository. 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 Geothermal Data Repository. https://doi.org/10.15121/1593282
@misc{GDR_Dataset_1192,
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 = {Geothermal Data Repository, West Virginia University, https://doi.org/10.15121/1593282},
note = {Accessed: 2025-04-23},
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
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
