Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy
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.
Citation Formats
TY - DATA
AB - 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.
AU - Smith, Jared
A2 - Beckers, Koenraad
DB - Geothermal Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/1632874
KW - geothermal
KW - energy
KW - Cornell University
KW - low-temperature geothermal
KW - reservoir simulation
KW - uncertainty analysis
KW - techno-economic analysis
KW - direct-use heating
KW - district heating
KW - New York state
KW - heat pumps
KW - levelized cost of heat LCOH
KW - externality values
KW - environmental value
KW - economic value
KW - direct use
KW - DDU
KW - Cornell
KW - Trenton-Black River
KW - TOUGH2
KW - PetraSIM
KW - Monte Carlo analysis
KW - Monte Carlo
KW - GEOPHIRES
KW - stochastic analysis
LA - English
DA - 2019/10/29
PY - 2019
PB - Cornell University
T1 - Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy
UR - https://doi.org/10.15121/1632874
ER -
Smith, Jared, and Koenraad Beckers. Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy. Cornell University, 29 October, 2019, Geothermal Data Repository. https://doi.org/10.15121/1632874.
Smith, J., & Beckers, K. (2019). Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy. [Data set]. Geothermal Data Repository. Cornell University. https://doi.org/10.15121/1632874
Smith, Jared and Koenraad Beckers. Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy. Cornell University, October, 29, 2019. Distributed by Geothermal Data Repository. https://doi.org/10.15121/1632874
@misc{GDR_Dataset_1183,
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.},
url = {https://gdr.openei.org/submissions/1183},
year = {2019},
howpublished = {Geothermal Data Repository, Cornell University, https://doi.org/10.15121/1632874},
note = {Accessed: 2025-05-04},
doi = {10.15121/1632874}
}
https://dx.doi.org/10.15121/1632874
Details
Data from Oct 29, 2019
Last updated Jul 8, 2021
Submitted Nov 6, 2019
Organization
Cornell University
Contact
Teresa Jordan
607.255.3596
Authors
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 analysisDOE 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