{"@type": "dcat:Dataset", "DOI": "10.15121/1632874", "accessLevel": "public", "bureauCode": ["019:20"], "contactPoint": {"@type": "vcard:Contact", "fn": "Teresa Jordan", "hasEmail": "mailto:tej1@cornell.edu"}, "dataQuality": true, "description": "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.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1183/AboutGeothermalReservoirSimulationResultsCornellDDUProject.docx", "description": "This file describes the content of a compressed file of reservoir modeling inputs and outputs. 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 \u2013 2.3 km depth, and basement rocks from 3-3.5 km depth and 3.5-4 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. Detailed descriptions of the contents of this repository are provided below.\n\nReference:\nSmith, J.D. and K.F. Beckers. (2020). Uncertainty and sensitivity analysis for geothermal reservoir performance and techno-economic assessments: A software package for GEOPHIRES. Proceedings World Geothermal Congress 2020. Reykjavik, Iceland, April 26-2.", "format": "docx", "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", "title": "About Geothermal Reservoir Simulation Results Cornell DDU Project.docx"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1183/Basement_ReservoirSimulations.zip", "description": "This compressed file contains several folders with results of modeling heat production from and lifetime of a plausible geothermal reservoir located in crystalline basement rock. See also accompanying Resource \"About Geothermal Reservoir Simulation Results Cornell DDU Project.docx\".\n\nFolder: Basement_ReservoirSimulations\na.\t18 folders of the format: Run11_BasementDepth_ReservoirModelType_UncertainParameterType_SimulationLifetime_InjectionTemperature_FlowRate_FractureSpacing\n\nThese folders contain GEOPHIRES results for basement rock geothermal reservoir simulations: 9 folders are for 3 - 3.5 km depth scenarios, and 9 folders are for 3.5 - 4 km depth scenarios.\n\nFolder name format:\nThe run number (11) is the same for these folders because they rely on the same probability distributions. \nThe basement depth is either 3p5, corresponding to a reservoir from 3 \u2013 3.5 km depth, or 4p0, corresponding to a reservoir from 3.5 \u2013 4.0 km depth. \nThe reservoir model type is mpf for multiple parallel fractures.\nThe uncertain parameter type is GeoEco for uncertainty in both geologic property parameters and economic and utilization parameters.\nThe simulation lifetime is 150 years\nThe injection temperatures are either 20, 30, or 50 \u00b0C\nFlow rates are either 30, 50, or 70 kgs. 70 kgs uses wells with a larger pipe diameter than the other two flow rates.\nFracture spacing is 30 m.\n\nFor details about the contents of these folders, refer to the file: GEOPHIRES_OutputFileDescriptions.docx\n\nb.\tFolder: Run11_SummaryProbabilityPlots_Basement\nFigures that summarize the probability results computed from each of the 18 simulations. Plots show the year when the probability is < 95% that the produced fluid will provide > X MWth heat, > T \u00b0C, or jointly provide > X MWth and > T \u00b0C.", "format": "zip", "mediaType": "application/zip", "title": "Basement Reservoir Simulations FOLDER.zip"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1183/Code.zip", "description": "See also accompanying Resource \"About Geothermal Reservoir Simulation Results Cornell DDU Project.docx\".\n\nFolder: Code\na.\tPlottingFunctions.R\nThis code processes, analyzes, and plots GEOPHIRES output. \n\nThe specific GEOPHIRES code that provides the output required as input to this R script is available on GitHub under \ncommit f26e0aa6e1346e3e9b9ec3b244c6d6f313f037e3 . This commit was made by Jared Smith on Mon Jan 7 11:44:31 2019 to the UncertaintyAnalysis branch of the GEOPHIRES GitHub repository (https://github.com/kfbeckers/GEOPHIRES). This repository is currently private, and the license for the code is currently under review. If you require this code, please contact Jared Smith (jds485@cornell.edu).\n\nA more recent commit is available on the Uncertainty Analysis branch of GEOPHIRES, which corrects for some plotting errors (e.g. labels, legend position, etc.). No quantitative analysis changes exist in this commit.\ncommit 2becc9217fd2ce1286f5dc2264799be67c01d6bb by Jared Smith on Tue Jul 30 12:13:17 2019\n\nb.\tPlots_TOUGH2_PostGEOPHIRES.R \nAn R script to process and plot TOUGH2 results to make the figure Run10_TBR_TOUGH2_40yrs_20Cinj_ProdTempHeatPostGEOPHIRES.png\n\nc.\tProbabilityLifetimePlots.R and ProbabilityLifetimePlots_Basement.R\nR scripts to process, analyze, and plot GEOPHIRES output, as described in the SummaryProbabilityPlots sections for TBR and basement rock simulations, respectively.\n", "format": "zip", "mediaType": "application/zip", "title": "Code FOLDER.zip"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1183/GEOPHIRES_InputParameterDescriptions.xlsx", "description": "Provides a list of all GEOPHIRES uncertainty analysis input parameters and their descriptions.", "format": "xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "GEOPHIRES Input Parameter Descriptions.xlsx"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1183/GEOPHIRES_OutputFileDescriptions.docx", "description": "Provides descriptions of all GEOPHIRES uncertainty analysis output folders and files.", "format": "docx", "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", "title": "GEOPHIRES Output File Descriptions.docx"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1183/MonteCarloGEOPHIRESinParallel_ForGeophiresv2.docx", "description": "This is the ReadMe file describing files contained within the Code/GEOPHIRES-ModifiedForCornellDDU directory. This document also describes how to run the GEOPHIRES uncertainty analysis.\n\nAdditional descriptions of the code for uncertainty analysis of GEOPHIRES may be found within the World Geothermal Congress 2020 conference paper by Smith and Beckers (2020).\n\nSmith, J.D. and K.F. Beckers. (2020). Uncertainty and sensitivity analysis for geothermal reservoir performance and techno-economic assessments: A software package for GEOPHIRES. Proceedings World Geothermal Congress 2020. Reykjavik, Iceland, April 26-2.", "format": "docx", "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", "title": "Monte Carlo GEOPHIRES in Parallel ReadMe.docx"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1183/TBR_ReservoirSimulations.zip", "description": "This compressed folder contains results from modeling the thermal performance and lifetime of a potential geothermal reservoir located in a Trenton-Black River (TBR) hydrothermal dolomite system. Two alternate approaches to analyzing the performance were used, GEOPHIRES and TOUGH2, and contained folders present both sets of materials. See also accompanying Resource \"About Geothermal Reservoir Simulation Results Cornell DDU Project.\"\n\nFolder: Run10_TBR_GEOPHIRES\naa.\t18 folders of the format: Run10_TBR_ReservoirModelType_UncertainParameterType_SimulationLifetime_InjectionTemperature_FlowRate_FractureSpacing\n\nThese folders contain GEOPHIRES results for Trenton-Black River (TBR) geothermal reservoir simulations: 9 folders are for the multiple parallel fractures reservoir model (mpf), and 9 folders are for the plug flow reservoir model (pf).\n\nFolder name format:\nThe run number (10) is the same for these folders because they rely on the same probability distributions. \nThe reservoir model type is mpf for multiple parallel fractures, or pf for plug flow.\nThe uncertain parameter type is GeoEco for uncertainty in both geologic property parameters and economic and utilization parameters.\nThe simulation lifetime is 40 years\nThe injection temperatures are either 20, 30, or 50 \u00b0C\nFlow rates are either 30, 50, or 70 kgs. 70 kgs uses wells with a larger pipe diameter than the other two flow rates.\nFracture spacing is 20 m for the mpf models.\n\nFor details about the contents of these folders, refer to the file: GEOPHIRES_OutputFileDescriptions.docx\n\nbb.\tFolder: Run11_SummaryProbabilityPlots_Basement\nFigures that summarize the probability results computed from each of the 18 simulations. Plots show the year when the probability is < 95% that the produced fluid will provide > X MWth heat, > T \u00b0C, or jointly provide > X MWth and > T \u00b0C.\n\n\nb.\tFolder: Run10_TBR_TOUGH2simsAndGeophires\naa.\tFolder: TBR_TOUGH2sims\naaa.\t3 folders of the format: TBR_Temperature\nTemperatures are Cold5, Med, and Hot5 for the coldest 5th percentile, median, and hottest 5th percentile of the predicted temperatures at depth, respectively.\n\nEach of these folders have similar file contents.\naaaa.\t3 folders of the format: Prod_T20QXX\nThe X corresponds to the selected flow rate.\nWithin each of these folders there is a file with a .sim extension. This is the PetraSim runfile for the production scenario. It calls all of the other files within the folder for the simulation and visualization of the results. To see the results, load the SAVE file into PetraSim.\n\nbbbb.\tA .sim file, and other files required to set up the TOUGH2 initial conditions. The .sim file is the PetraSim runfile for establishing the initial conditions. It calls all of the other files within the folder for the simulation and visualization of the results. To see the results of the initial conditions used for the production scenarios, load the SAVE file into PetraSim.     \n\nbbb.\tFolder: TBR_Diagram_Hot5TempPressurePics\naaaa.\tFolder: Pressure\nContains 9 figures of pressure change over time in the TOUGH2 reservoir simulation. Three times (4, about 20, and 40 years) are selected for each of 3 flow rates (30, 50, and 70 kg/s). The injection temperature is 20 \u00b0C. The reservoir initial conditions correspond to the hottest 5th percentile of the predicted temperatures at depth.\n\nbbbb.\tFolder: Temperature\nContains 9 figures of temperature change over time in the TOUGH2 reservoir simulation. Three times (4, about 20, and 40 years) are selected for each of 3 flow rates (30, 50, and 70 kg/s). The injection temperature is 20 \u00b0C. The reservoir initial conditions correspond to the hottest 5th percentile of the predicted temperatures at depth.\n\ncccc.\tFile: TOUGH2TempsPressures_Hot5.ppt\nContains slides that aggregate the temperature and pressure figures into 9-panel plots.\n\nbb.\tFolder: TBR_GEOPHIRES\naaa.\t9 folders of the format: Run10_TBR_TOUGH2_Eco_40yrs_20Cinj_FlowRate_InitialReservoirTemperature\n\nThese folders contain GEOPHIRES results for post-processing of the TOUGH2 simulations to account for production wellbore heat transfer.\n\nFolder name format:\nThe run number (10) is the same for these folders because they rely on the same probability distributions. \nThe uncertain parameter type is Eco for uncertainty in only economic and utilization parameters.\nThe simulation lifetime is 40 years\nThe injection temperature is 20 \u00b0C\nFlow rates are either 30, 50, or 70 kgs. 70 kgs uses wells with a larger pipe diameter than the other two flow rates.\nThe initial reservoir temperature is either the coldest 5th percentile, median, or hottest 5th percentile (Cold5, Med, Hot5).\n\nFor details about the contents of these folders, refer to the file: GEOPHIRES_OutputFileDescriptions.docx\n\nbbb.\tRun10_TBR_TOUGH2_40yrs_20Cinj_ProdTempHeatPostGEOPHIRES.png\nThis figure summarizes the temperature and heat production results from post-GEOPHIRES simulation of the TOUGH2 results to account for production wellbore heat transfer.\n", "format": "zip", "mediaType": "application/zip", "title": "TBR Reservoir Simulations FOLDER.zip"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/submissions/1180", "description": "The purpose of this document is to describe the contents contained within Geothermal Data Repository (GDR) node of the National Geothermal Data System (NGDS) that serves as the final report for the project \"Earth Source Heat: A Cascaded Systems Approach to DDU of Geothermal Energy on the Cornell Campus\". \n\nAbstract: Cornell completed a comprehensive evaluation of the potential for Earth Source Heat (ESH), Cornell's specific application of Deep Direct Use (DDU) geothermal energy, to create viable heat energy for its Ithaca, NY campus district heating system. The study included assessment of the natural rock properties within and surrounding two potential reservoirs, coupled to the assessment of the thermal energy needs for a district heating system capable of supplying 20% of Cornell's building heating load. The feasibility and benefits of such a district heating system at the specific location of Cornell University's Ithaca, NY campus are evaluated from the perspectives of economic cost, environmental benefits, and economic benefits in the region external to Cornell University. The economic cost is expressed as the Levelized Cost of Heat, and comparison to the existing inexpensive fossil fuel system.\n\nThe submission includes descriptions of the assumptions, analyses, data, and models that were combined to reach conclusions regarding the feasibility of a Cornell Campus project.\n\nA shortened, descriptive title for the project is \"Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy.\"\n", "format": "HTML", "mediaType": "text/html", "title": "Final Report - Earth Source Heat A Cascaded Systems Approach to DDU of Geothermal Energy on the Cornell Campus"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/submissions/1181", "description": "This purpose of this set of entries is to group together the materials and analytical methods used in the assessment of the natural rock properties within and surrounding two potential reservoirs.", "format": "HTML", "mediaType": "text/html", "title": "Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/submissions/1182", "description": "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.", "format": "HTML", "mediaType": "text/html", "title": "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"}], "identifier": "https://data.openei.org/submissions/7317", "issued": "2019-10-29T06:00:00Z", "keyword": ["Cornell", "Cornell University", "DDU", "GEOPHIRES", "Monte Carlo", "Monte Carlo analysis", "New York state", "PetraSIM", "TOUGH2", "Trenton-Black River", "direct use", "direct-use heating", "district heating", "economic value", "energy", "environmental value", "externality values", "geothermal", "heat pumps", "levelized cost of heat LCOH", "low-temperature geothermal", "reservoir simulation", "stochastic analysis", "techno-economic analysis", "uncertainty analysis"], "landingPage": "https://gdr.openei.org/submissions/1183", "license": "https://creativecommons.org/licenses/by/4.0/", "modified": "2021-07-08T21:27:07Z", "programCode": ["019:006"], "projectLead": "Arlene Anderson", "projectNumber": "EE0008103", "projectTitle": "EARTH SOURCE HEAT: A CASCADED SYSTEMS APPROACH TO DDU OF GEOTHERMAL ENERGY ON THE CORNELL CAMPUS", "publisher": {"@type": "org:Organization", "name": "Cornell University"}, "spatial": "{\"type\":\"Polygon\",\"coordinates\":[[[-82.736528125,37.143025589465],[-73.45318203125,37.143025589465],[-73.45318203125,45.045781423158],[-82.736528125,45.045781423158],[-82.736528125,37.143025589465]]]}", "title": "Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy"}