OpenEI: Energy Information
  • Geothermal Data Repository
  • My User
    • Sign Up
    • Login
 
  • Data
    • View All Submissions
    • Data Lakes
    • Data Standards
    • Submit Data
  • Help
    • Frequently Asked Questions
    • Data Submission Best Practices
    • Data Submission Tutorial Videos
    • Contact GDR Help
  • About
  • Search

Search GDR Data

Showing results 1 - 3 of 3.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Topic
Technologies
Demonstration Sites
Data Type
"dip meter"×
Direct Use×

Fault Information and Seismicity for the Portland Basin Deep Direct-Use Feasibility Study

Dec 04, 2018
62.49 MB
Publicly accessible
Included in this dataset is a spreadsheet with the primary fault information used in the basin model, a spreadsheet with earthquake magnitude estimates, and a figure showing location of faults and microseismicity in the Portland Basin
Authors
Streig, A. and Wells, R. Portland State University
geothermalenergyddudeep direct-usethermal energy storageddu-tesseismicityearthquakefaultstructural geologymagnitudeeventmicroseismicityportlandbasinoregonormodelfeasibilityoatfield faulteast bank faultgales creek faultmount angel faultnewberg faultfrontal faultbolton faultcanby-molalla faulthelvetia faultbeaverton faultsherwood faultdip directiondip anglefault length

Hawthorne Nevada Deep Direct-Use Feasibility Study Data Used for Geothermal Resource Conceptual Modeling and Power Capacity Estimates

Apr 05, 2020
4.1 MB
Publicly accessible
This data submission includes several data components that were used to develop a conceptual model and power capacity-estimates of two low-temperature geothermal resources that define geothermal prospect A at Hawthorne, Nevada. Data are sourced from a combination of legacy publicl...
Authors
Ayling, B. and Hinz, N. Great Basin Center for Geothermal Energy
geothermalenergyhawthornegeochemistryconceptual modeltemperature logsborehole fracture datahawthorne army depotdirect usenevada2-meter temperaturesalteration mineralsptswell datafluid chemistryddutemperaturefracturexrdwater chemistrysurveycuttingsmodelingcapacityestimatesconceptualhwaad-2hwaad-3hwaad-2ageospatial datalow-tempertaurehydrothermalseservoireservoir compartmentalizationpower capacityimage log

Deep Direct-Use Feasibility Study Energy Demand Characterization and Surface Plant Modeling for West Virginia University

Jan 09, 2020
90.51 MB
Publicly accessible
This dataset provides information gathered to determine end use load and assessment of existing district heating systems (DHS). It also provides Aspen simulation files used to model hybrid natural gas geothermal district heating and cooling (GDHC) system along with Exchange Design...
Authors
Garapati, N. West Virginia University
geothermalenergyappalachian basinwest virginia universityhybrid geothermal natural gas systemdeep direct-useaspenchemcadhysysacceegsenergy demandenergy demand characterizationsurface plant modelingwvudduhybrid geothermal natural gasgdhcexchange design and ratingedrplate heat exchangerphecapital costmodelingfeasibility studynatural gas demanddemandfeasibilitynatural gasdistrict heatingdhscharacterizationsurface plantend useloaddistrict heating and cooling
Google Map
  • About the GDR
  • Partners & Sponsors
  • Disclaimers
  • Developer Services
  • 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.

Privacy Policy Notification

This site uses cookies to store and share user preferences with other OpenEI sites, and uses Google Analytics to collect anonymous user information such as which pages are visited, for how often, and what searches or other webpages may have led users here. You can prevent Google Analytics from recognizing you on return visits to this site by disabling cookies on your browser or by installing a Google Analytics Opt-out Browser Add-on. By clicking "Accept" you agree this site can store cookies on your device and disclose information to OpenEI and Google Analytics in accordance with our privacy policy.

OpenEI Privacy Policy Google Analytics Terms of Service