Final Report - Earth Source Heat: A Cascaded Systems Approach to DDU of Geothermal Energy on the Cornell Campus

                                            [
  "019:20"
]
                                        

                                            {
  "fn": "Teresa E. Jordan",
  "@type": "vcard:Contact",
  "hasEmail": "mailto:tej1@cornell.edu"
}
                                        

                                            true
                                        

                                            [
  {
    "@type": "dcat:Distribution",
    "title": "Earth Source Heat at Cornell Campus.pdf",
    "format": "pdf",
    "accessURL": "https://gdr.openei.org/files/1180/DE-EE0008103%20Final%20Report%2011.14.2019.pdf",
    "mediaType": "application/pdf",
    "description": "Final Report from study DE-EE0008103, "Earth Source Heat: A Cascaded Systems Approach to DDU of Geothermal Energy on the Cornell Campus." The report was completed completed 11.14.2019."
  },
  {
    "@type": "dcat:Distribution",
    "title": "Contents overview.docx",
    "format": "docx",
    "accessURL": "https://gdr.openei.org/files/1180/GDR%20master%20submission%20organization.docx",
    "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
    "description": "This text describes the central features of the Cornell DDU feasibility study, and provides an organized access to the numerous supporting documents."
  },
  {
    "@type": "dcat:Distribution",
    "title": "Subsurface data and simulations to estimate temperature and reservoir productivity",
    "format": "HTML",
    "accessURL": "https://gdr.openei.org/submissions/1181",
    "mediaType": "text/html",
    "description": "This purpose of this set of entries is group together the materials and analytical methods used in the assessment of the natural rock properties within and surrounding two potential reservoirs. "
  },
  {
    "@type": "dcat:Distribution",
    "title": "Appalachian Basin Temperature-Depth Maps and Structured Data",
    "format": "HTML",
    "accessURL": "https://gdr.openei.org/submissions/1182",
    "mediaType": "text/html",
    "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."
  },
  {
    "@type": "dcat:Distribution",
    "title": "Geothermal Reservoir Simulation Results -- Cornell Direct Use of Deep Geothermal Energy for District Heating",
    "format": "HTML",
    "accessURL": "https://gdr.openei.org/submissions/1183",
    "mediaType": "text/html",
    "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 3-3.5 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."
  },
  {
    "@type": "dcat:Distribution",
    "title": "Cornell Ithaca Campus heat use data for a model year",
    "format": "HTML",
    "accessURL": "https://gdr.openei.org/submissions/1186",
    "mediaType": "text/html",
    "description": "Hourly steam use data for all significant buildings from the fiscal year 2017 (1 July 2016-30 June 2017) are provided. "
  }
]
                                        

                                            [
  "Appalachian Basin",
  "Cornell University",
  "DDU",
  "EA",
  "LCOH",
  "New York state",
  "direct use",
  "direct-use heating",
  "district heating",
  "earth source heat",
  "economic",
  "economic value",
  "energy",
  "environmental value",
  "externality values",
  "geothermal",
  "ghp",
  "heat pump",
  "levelized cost of heat",
  "low-temperature geothermal",
  "reservoir simulation",
  "subsurface data",
  "techno-economic analysis",
  "temperature",
  "uncertainty analysis"
]
                                        

                                            [
  "019:006"
]
                                        

                                            {
  "name": "Cornell University",
  "@type": "org:Organization"
}
                                        

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