Return to search results
Techno-Economic Simulation Results Using dGeo for EGS-Based District Heating in the Northeastern United States
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 National Renewable Energy Laboratory (NREL), dGeo is a geospatially resolved, bottom-up modeling framework designed to explore the deployment potential of geothermal distributed energy resources.
The dataset, created as part of the Cornell EGS Ground-Truthing Project, provides census tract-level data that includes inputs and outputs such as thermal demand, road length, energy prices, geothermal system sizing, annual energy contributions from geothermal and natural gas peaking boilers, system capital costs (CAPEX), operation and maintenance costs (OPEX), and the levelized cost of heat (LCOH). Key simulation parameters include geothermal gradients, measured well depths, production temperatures, and district heating piping lengths based on S1400 neighborhood road lengths. The simulations assume a target bottom hole temperature of 80C and the development of new district heating networks in each census tract.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Koenraad Beckers",
"@type": "vcard:Contact",
"hasEmail": "mailto:koenraad.beckers@nrel.gov"
}
|
| dataQuality |
true
|
| description | 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 National Renewable Energy Laboratory (NREL), dGeo is a geospatially resolved, bottom-up modeling framework designed to explore the deployment potential of geothermal distributed energy resources. The dataset, created as part of the Cornell EGS Ground-Truthing Project, provides census tract-level data that includes inputs and outputs such as thermal demand, road length, energy prices, geothermal system sizing, annual energy contributions from geothermal and natural gas peaking boilers, system capital costs (CAPEX), operation and maintenance costs (OPEX), and the levelized cost of heat (LCOH). Key simulation parameters include geothermal gradients, measured well depths, production temperatures, and district heating piping lengths based on S1400 neighborhood road lengths. The simulations assume a target bottom hole temperature of 80C and the development of new district heating networks in each census tract. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Simulation Results.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1698/dGeo%20output%20for%20DDU%20in%20Northeastern%20US.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "This file contains the dGeo simulation results at the census tract level. The first sheet contains the inputs and results, while the included "Parameter Key" sheet details each parameter included in the dataset."
},
{
"@type": "dcat:Distribution",
"title": "dGeo Documentation",
"format": "pdf",
"accessURL": "https://www.nrel.gov/docs/fy18osti/67388.pdf",
"mediaType": "application/pdf",
"description": "This report documents the Distributed Geothermal Market Demand Model (dGeo) modeling design, methodology, assumptions, and
capabilities."
}
]
|
| DOI | 10.15121/2507420 |
| identifier | https://data.openei.org/submissions/8307 |
| issued | 2024-09-30T06:00:00Z |
| keyword |
[
"CAPEX",
"DDU",
"DU",
"EGS",
"EGS direct use",
"EGS feasibility",
"LCOH",
"OPEX",
"TEA",
"dGeo",
"deep direct use",
"district heating",
"district heating networks",
"energy",
"feasibility",
"geothermal",
"geothermal market demand",
"heating demand",
"model",
"modeling",
"simulation",
"techno-economic analsyis",
"thermal demand"
]
|
| landingPage | https://gdr.openei.org/submissions/1698 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2025-01-31T15:53:59Z |
| programCode |
[
"019:006"
]
|
| projectLead | Zachary Frone |
| projectNumber | FY25 AOP 5.4.3.1 |
| projectTitle | Cornell EGS Ground Truthing Project |
| publisher |
{
"name": "National Renewable Energy Laboratory",
"@type": "org:Organization"
}
|
| spatial |
"{"type":"Polygon","coordinates":[[[-125.4514,24.5873],[-66.5318,24.5873],[-66.5318,49.2637],[-125.4514,49.2637],[-125.4514,24.5873]]]}"
|
| title | Techno-Economic Simulation Results Using dGeo for EGS-Based District Heating in the Northeastern United States |
