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.
Citation Formats
TY - DATA
AB - 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.
AU - Pauling, Hannah
DB - Geothermal Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15121/2507420
KW - geothermal
KW - energy
KW - EGS
KW - district heating
KW - dGeo
KW - TEA
KW - techno-economic analsyis
KW - feasibility
KW - EGS feasibility
KW - EGS direct use
KW - deep direct use
KW - DU
KW - DDU
KW - CAPEX
KW - OPEX
KW - LCOH
KW - modeling
KW - geothermal market demand
KW - model
KW - simulation
KW - thermal demand
KW - heating demand
KW - district heating networks
LA - English
DA - 2024/09/30
PY - 2024
PB - National Renewable Energy Laboratory
T1 - Techno-Economic Simulation Results Using dGeo for EGS-Based District Heating in the Northeastern United States
UR - https://doi.org/10.15121/2507420
ER -
Pauling, Hannah. Techno-Economic Simulation Results Using dGeo for EGS-Based District Heating in the Northeastern United States. National Renewable Energy Laboratory, 30 September, 2024, Geothermal Data Repository. https://doi.org/10.15121/2507420.
Pauling, H. (2024). Techno-Economic Simulation Results Using dGeo for EGS-Based District Heating in the Northeastern United States. [Data set]. Geothermal Data Repository. National Renewable Energy Laboratory. https://doi.org/10.15121/2507420
Pauling, Hannah. Techno-Economic Simulation Results Using dGeo for EGS-Based District Heating in the Northeastern United States. National Renewable Energy Laboratory, September, 30, 2024. Distributed by Geothermal Data Repository. https://doi.org/10.15121/2507420
@misc{GDR_Dataset_1698,
title = {Techno-Economic Simulation Results Using dGeo for EGS-Based District Heating in the Northeastern United States},
author = {Pauling, Hannah},
abstractNote = {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.},
url = {https://gdr.openei.org/submissions/1698},
year = {2024},
howpublished = {Geothermal Data Repository, National Renewable Energy Laboratory, https://doi.org/10.15121/2507420},
note = {Accessed: 2025-04-24},
doi = {10.15121/2507420}
}
https://dx.doi.org/10.15121/2507420
Details
Data from Sep 30, 2024
Last updated Jan 31, 2025
Submitted Dec 31, 2024
Organization
National Renewable Energy Laboratory
Contact
Koenraad Beckers
Authors
Keywords
geothermal, energy, EGS, district heating, dGeo, TEA, techno-economic analsyis, feasibility, EGS feasibility, EGS direct use, deep direct use, DU, DDU, CAPEX, OPEX, LCOH, modeling, geothermal market demand, model, simulation, thermal demand, heating demand, district heating networksDOE Project Details
Project Name Cornell EGS Ground Truthing Project
Project Lead Zachary Frone
Project Number FY25 AOP 5.4.3.1