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.

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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: 10.15121/1632874
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
Koenraad Beckers
National Renewable Energy Laboratory

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

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