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Low-Temperature Geothermal Geospatial Datasets: An Example from Alaska

Metadata Updated: September 1, 2023

This project is a component of a broader effort focused on geothermal heating and cooling (GHC) with the aim of illustrating the numerous benefits of incorporating GHC and geothermal heat exchange (GHX) into community energy planning and national decarbonization strategies. To better assist private sector investment, it is currently necessary to define and assess the potential of low-temperature geothermal resources. For shallow GHC/GHX fields, there is no formal compilation of subsurface characteristics shared among industry practitioners that can improve system design and operations. Alaska is specifically noted in this work, because heretofore, it has not received a similar focus in geothermal potential evaluations as the contiguous United States. The methodology consists of leveraging relevant data to generate a baseline geospatial dataset of low-temperature resources (less than 150 degrees C) to compare and analyze information accessible to anyone trying to understand the potential of GHC/GHX and small-scale low-temperature geothermal power in Alaska (e.g., energy modelers, communities, planners, and policymakers). Importantly, this project identifies data related to (1) the evaluation of GHC/GHX in the shallow subsurface, and (2) the evaluation of low-temperature geothermal resource availability. Additionally, data is being compiled to assess repurposing of oil and gas wells to contribute co-produced fluids toward the geothermal direct use and heating and cooling resource potential. In this work we identified new data from three different datasets of isolated geothermal systems in Alaska and bottom-hole temperature data from oil and gas wells that can be leveraged for evaluation of low-temperature geothermal resource potential. The goal of this project is to facilitate future deployment of GHC/GHX analysis and community-led programs and update the low-temperature geothermal resources assessment of Alaska. A better understanding of shallow potential for GHX will improve design and operations of highly efficient GHC systems. The deployment and impact that can be achieved for low-temperature geothermal resources will contribute to decarbonization goals and facilitate widespread electrification by shaving and shifting grid loads.

Access & Use Information

Public: This dataset is intended for public access and use. License: Creative Commons Attribution

Downloads & Resources

Dates

Metadata Created Date September 1, 2023
Metadata Updated Date September 1, 2023

Metadata Source

Harvested from OpenEI data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date September 1, 2023
Metadata Updated Date September 1, 2023
Publisher National Renewable Energy Laboratory
Maintainer
Doi 10.15121/1997233
Identifier https://data.openei.org/submissions/5960
Data First Published 2023-02-06T07:00:00Z
Data Last Modified 2023-08-30T19:37:10Z
Public Access Level public
Bureau Code 019:20
Metadata Context https://openei.org/data.json
Metadata Catalog ID https://openei.org/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Data Quality True
Harvest Object Id c0ecfa3e-81e0-48a4-919b-4c79a0563e4c
Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
Harvest Source Title OpenEI data.json
Homepage URL https://gdr.openei.org/submissions/1518
License https://creativecommons.org/licenses/by/4.0/
Old Spatial {"type":"Polygon","coordinates":-178.3176109375,49.22492330395879,-129.5054328125,49.22492330395879,-129.5054328125,72.00421518325015,-178.3176109375,72.00421518325015,-178.3176109375,49.22492330395879}
Program Code 019:006
Projectlead Jeff Winick
Projectnumber 39678
Projecttitle Geothermal Heating and Cooling Geospatial Datasets and Analysis
Source Datajson Identifier True
Source Hash 9ab610621986a5c4b6ece05a2f4792710a7827477a6a1538e2926f4b223c1b02
Source Schema Version 1.1
Spatial {"type":"Polygon","coordinates":-178.3176109375,49.22492330395879,-129.5054328125,49.22492330395879,-129.5054328125,72.00421518325015,-178.3176109375,72.00421518325015,-178.3176109375,49.22492330395879}

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