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

Publicly accessible License 

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 -
Export Citation to RIS
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

Jared Smith

Cornell University

Koenraad Beckers

National Renewable Energy Laboratory

DOE 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

Share

Submission Downloads