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District Heating×

Techno-Economic Simulation Results Using dGeo for EGS-Based District Heating in the Northeastern United States

Sep 30, 2024
3.1 MB
Publicly accessible
This dataset presents the results of techno-economic simulations performed using the Distributed Geothermal Market Demand Model (dGeo) to evaluate the feasibility of Enhanced Geothermal Systems (EGS)-based district heating in the Northeastern United States. Developed by the Nation...
Authors
Pauling, H. National Renewable Energy Laboratory
geothermalenergyegsdistrict heatingdgeoteatechno-economic analsyisfeasibilityegs feasibilityegs direct usedeep direct usedudducapexopexlcohmodelinggeothermal market demandmodelsimulationthermal demandheating demanddistrict heating networks

Cornell University Borehole Observatory Pason Drilling Parameters

Jun 24, 2026
137.28 MB
In progress
This data set included drill rig drilling parameters from well Cornell ESH #1 (API 31109300030000), known as the Cornell University Borehole Observatory, or CUBO. It is a stratigraphic well drilled to characterize potential EGS resources. The Drilling commenced on June 21, 2022 an...
Authors
Fulton, P. et al Cornell University
geothermalenergyegsdirect useappalachian basindrilling datacornell universitycubodeep direct useddudistrict heatingdeep welldrillingesh-1api 31109300030000

Community Geothermal: Borefield Design, Thermal Conductivity, and Subsurface Modeling Data Chicago, IL

Dec 04, 2023
117.3 MB
Publicly accessible
This dataset encompasses the development of a geothermal energy system for the West Woodlawn neighborhood in Chicago, Illinois. This project is part of a broader initiative to design and deploy geothermal heating and cooling systems at a community scale. The dataset includes therm...
Authors
Baser, T. et al Saint Louis University
geothermalenergysustainablecommunity scalethermal conductivitynumerical modelingashraeefficient designchicagocommgeocommunity geothermalborefieldheating and coolingmodelingthermal conductivity testthermal loadsbuilding loadscomsolprocessed databorehole sizing

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

Oct 29, 2019
1.62 GB
Publicly accessible
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. Th...
Authors
Smith, J. and Beckers, K. Cornell University
geothermalenergycornell universitylow-temperature geothermalreservoir simulationuncertainty analysistechno-economic analysisdirect-use heatingdistrict heatingnew york stateheat pumpslevelized cost of heat lcohexternality valuesenvironmental valueeconomic valuedirect usedducornelltrenton-black rivertough2petrasimmonte carlo analysismonte carlogeophiresstochastic analysis

Final Report: Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin

Nov 18, 2015
31.13 MB
Publicly accessible
This is a final report summarizing a two-year (2014-16) 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 ...
Authors
E. Jordan, T. Cornell University
geothermalappalachian basinnew yorkpennsylvaniawest virginiadistrict heatingdeep direct uselow-temperaturereservoirproductivityfavorabilityreservoir productivity indexreservoir flow capacitygpfa-abgeothermal play fairway analysisthermal analysisresource assessmentheat flowthermal conductivitygeothermsheat utilizationsurface leveled cost of heatlcohslcohdemandgeophirescombined risk segment mapsrisk analysisinduced seismicityfaultspotential fieldswaveletsbht correctionslow temperature
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  • The GDR provides free access to data generated from projects funded by the U.S. Department of Energy's Office of Geothermal.
  • Content is available under Creative Commons Attribution 4.0 unless otherwise noted.

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