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Mt. Simon Sandstone Brine Chemistry for DDU Technology at the U of IL Campus

A review of brine chemistry data for the Mt. Simon Sandstone in the Illinois Basin is provided for calculations to predict the potential for mineral scaling and precipitation. The assessment includes expected changes in temperature, pressure, and/or exposure to air or other materi...

Lu, Y. and McKaskle, R. University of Illinois

Mar 31, 2019
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Environmental Life Cycle Assessment Spreadsheet tool for Deep Direct-Use Geothermal at the University of Illinois at Urbana-Champaign Campus

A Life Cycle Assessment (LCA) spreadsheet tool was developed to analyze potential environmental benefits of a deep direct-use (DDU) geothermal energy system (GES) at the University of Illinois at Urbana-Champaign (U of IL) campus. The LCA spreadsheet tool is a unique contribution ...

Tinjum, J. et al University of Illinois

Jan 31, 2020
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GEOPHIRES Simulations for Deep Direct Use (DDU) Projects

This folder contains the GEOPHIRES codes and input files for running the base case scenarios for the six deep direct-use (DDU) projects. The six DDU projects took place during 2017-2020 and were funded by the U.S. Department of Energy Geothermal Technologies Office. They investiga...

Beckers, K. National Renewable Energy Laboratory

Jun 30, 2020
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Environmental Impact Calculations for Geothermal DDU system on WVU Campus

This dataset contains all the inputs used and output produced from Matlab for the environmental analysis of an improved hybrid geothermal district heating and cooling (GDHC) system with a heat pump, without a heat pump, and for a hot water GDHC. Detailed descriptions of the conten...

Garapati, N. et al West Virginia University

Mar 18, 2020
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Development of 3D Geological Model of Tuscarora Sandstone for Feasibility of Deep Direct-Use Geothermal at West Virginia University Main Campus

The subsurface uncertainty at West Virginia University Main Campus is dominated by the uncertainty in the projections of geofluid flowrate in the target formation, the Tuscarora Sandstone. In this paper, three cores from the heterogeneous reservoir, available through West Virginia...

Moore, J. et al West Virginia University

Oct 23, 2018
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University of Illinois Campus Deep Direct-Use Feasibility Study Bedrock Geology ArcGIS Layers

Bedrock Geology of Champaign County, Illinois, map layers (shapefiles). Layers included: 1) Champaign County bedrock units. 2) Champaign County bedrock surface contours. Contour interval of 25 feet. 3) Colchester coal surface contours. Contour interval of 50 feet. 4) Kimmswick...

Nelson, W. University of Illinois

Mar 20, 2018
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Improvements in 2016 to Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

*These files add to and replace same-named files found within Submission 559 (hover over file display names to see actual file names in bottom-left corner of screen)* The files included in this submission contain all data pertinent to the methods and results of a cohesive multi-st...

Camp, E. Cornell University

Aug 18, 2016
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Utilization Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)

This submission of Utilization Analysis data to the Geothermal Data Repository (GDR) node of the National Geothermal Data System (NGDS) is in support of Phase 1 Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin. The submission includes data pertinent to th...

E., T. Cornell University

Sep 30, 2015
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Research Report of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

This is a final report summarizing a one-year (2014-15) DOE funded Geothermal Play Fairway Analysis of the Low-Temperature resources of the Appalachian Basin of New York, Pennsylvania and West Virginia. Collaborators included Cornell University, Southern Methodist University, and...

Jordan, T. et al Cornell University

Sep 30, 2015
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Risk Factor Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB)

This submission contains information used to compute the risk factors for the GPFA-AB project. The risk factors are natural reservoir quality, thermal resource quality, potential for induced seismicity, and utilization. The methods used to combine the risk factors included taking ...