Appalachian Basin Temperature-Depth Maps and Structured Data in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

Abstract

This dataset contains shapefiles and rasters that summarize the results of a stochastic analysis of temperatures at depth in the Appalachian Basin states of New York, Pennsylvania, and West Virginia. This analysis provides an update to the temperature-at-depth maps provided in the Geothermal Play Fairway Analysis of the Appalachian Basin (GPFA-AB) Thermal Quality Analysis (GDR repository 879: https://gdr.openei.org/submissions/879). This dataset improves upon the GPFA-AB dataset by considering several additional uncertainties in the temperature-at-depth calculations, including geologic properties and thermal properties. A Monte Carlo analysis of these uncertain properties and the GPFA-AB estimated surface heat flow was used to predict temperatures at depth using a 1-D heat conduction model. In this data submission, temperatures are provided for depths from 1-5 km in 0.5 km increments. The mean, standard deviation, and selected quantiles of temperatures at these depths are provided as shapefiles with attribute tables that contain the data. Rasters are provided for the mean and standard deviation data. Figures and maps that summarize the data are also provided. For the pixel corresponding to Cornell University, Ithaca, NY, a .csv file containing the 10,000 temperature-depth profiles estimated from the Monte Carlo analysis is provided. These data are summarized in a figure containing violin plots that illustrate the probability of obtaining certain temperatures at depths below Cornell.

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Additional Info

DOE Project Name: EARTH SOURCE HEAT: A CASCADED SYSTEMS APPROACH TO DDU OF GEOTHERMAL ENERGY ON THE CORNELL CAMPUS
DOE Project Number: EE0008103
DOE Project Lead: Arlene Anderson
DOI: 10.15121/1632873
Last Updated: 5 months ago
Oct
2019
Data from October, 2019
Submitted Nov 6, 2019

Contact

Cornell University


607.255.3596

Status

Publicly accessible License 

Authors

Jared Smith
Cornell University

Keywords

geothermal, energy, Cornell University, low-temperature geothermal, reservoir simulation, uncertainty analysis, thermal data, district heating, direct-use heating, DDU, Appalachian Basin, New York state, techno-economic analysis, levelized cost of heat LCOH, externality values, environmental value, Monte Carlo analysis, Monte Carlo, economic, EA, heat pump, ghp, shapefile, raster, Cornell

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