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Title: Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

Abstract

This dataset contains input data, code, ReadMe files, output data, and figures that summarize the results of a stochastic analysis of geothermal reservoir production from two potential geothermal reservoirs that were evaluated for the Cornell University Deep Direct-Use project. These potential reservoirs are the Trenton-Black River (TBR) from 2.27-2.3 km depth, and basement rocks from 3.0-3.5 km depth and 3.5-4.0 km depth. Several utilization scenarios consisting of different injection fluid temperatures and flow rates were evaluated for each reservoir. Uncertainty in geologic properties, thermal properties, economic costs, and utilization efficiencies were evaluated using a Monte Carlo analysis of the reservoir simulations. Some reservoir simulations of the TBR were completed using the TOUGH2 software, as implemented in PetraSIM. The PetraSIM run files and associated data are provided with this submission. All other reservoir simulations were completed using the GEOPHIRES software, with some modifications to complete the uncertainty analyses. ReadMe files that describe additions to GEOPHIRES, the GEOPHIRES input data, and the output data are all provided, and references are provided to the code repository. Figures that summarize the reservoir heat production, temperature drawdown, and the probability of meeting targeted building heating demands with the produced heat and fluid temperatures are provided.

Authors:
ORCiD logo ; ORCiD logo
Publication Date:
Other Number(s):
1183
DOE Contract Number:  
EE0008103
Product Type:
Dataset
Research Org.:
USDOE Geothermal Data Repository (United States); Cornell Univ., Ithaca, NY (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
Subject:
15 Geothermal Energy
Keywords:
geothermal; energy; Cornell University; low-temperature geothermal; reservoir simulation; uncertainty analysis; techno-economic analysis; direct-use heating; district heating; New York state; heat pumps; levelized cost of heat LCOH; externality values; environmental value; economic value; direct use; DDU; Cornell; Trenton-Black River; TOUGH2; PetraSIM; Monte Carlo analysis; Monte Carlo; GEOPHIRES; stochastic analysis
OSTI Identifier:
1632874
DOI:
https://doi.org/10.15121/1632874

Citation Formats

Smith, Jared, and Beckers, Koenraad. Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy. United States: N. p., 2019. Web. doi:10.15121/1632874.
Smith, Jared, & Beckers, Koenraad. Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy. United States. doi:https://doi.org/10.15121/1632874
Smith, Jared, and Beckers, Koenraad. 2019. "Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy". United States. doi:https://doi.org/10.15121/1632874. https://www.osti.gov/servlets/purl/1632874. Pub date:Tue Oct 29 00:00:00 EDT 2019
@article{osti_1632874,
title = {Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy},
author = {Smith, Jared and Beckers, Koenraad},
abstractNote = {This dataset contains input data, code, ReadMe files, output data, and figures that summarize the results of a stochastic analysis of geothermal reservoir production from two potential geothermal reservoirs that were evaluated for the Cornell University Deep Direct-Use project. These potential reservoirs are the Trenton-Black River (TBR) from 2.27-2.3 km depth, and basement rocks from 3.0-3.5 km depth and 3.5-4.0 km depth. Several utilization scenarios consisting of different injection fluid temperatures and flow rates were evaluated for each reservoir. Uncertainty in geologic properties, thermal properties, economic costs, and utilization efficiencies were evaluated using a Monte Carlo analysis of the reservoir simulations. Some reservoir simulations of the TBR were completed using the TOUGH2 software, as implemented in PetraSIM. The PetraSIM run files and associated data are provided with this submission. All other reservoir simulations were completed using the GEOPHIRES software, with some modifications to complete the uncertainty analyses. ReadMe files that describe additions to GEOPHIRES, the GEOPHIRES input data, and the output data are all provided, and references are provided to the code repository. Figures that summarize the reservoir heat production, temperature drawdown, and the probability of meeting targeted building heating demands with the produced heat and fluid temperatures are provided.},
doi = {10.15121/1632874},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {10}
}