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

Pauling, Hannah

doi:10.15121/2507420

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

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Abstract

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.

Authors:

Pauling, Hannah

National Renewable Energy Laboratory

Publication Date:: Mon Sep 30 04:00:00 UTC 2024

Other Number(s):: 1698

Research Org.:: DOE Geothermal Data Repository; National Renewable Energy Laboratory

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)

Collaborations:: National Renewable Energy Laboratory

Subject:: 15 GEOTHERMAL ENERGY; 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

OSTI Identifier:: 2507420

DOI:: https://doi.org/10.15121/2507420

Citation Formats


                    Pauling, Hannah. Techno-Economic Simulation Results Using dGeo for EGS-Based District Heating in the Northeastern United States.  United States: N. p., 2024. 
        Web.  doi:10.15121/2507420.

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                    Pauling, Hannah. Techno-Economic Simulation Results Using dGeo for EGS-Based District Heating in the Northeastern United States.  United States.  doi:https://doi.org/10.15121/2507420

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                    Pauling, Hannah. 2024.  
"Techno-Economic Simulation Results Using dGeo for EGS-Based District Heating in the Northeastern United States".  United States.  doi:https://doi.org/10.15121/2507420.  https://www.osti.gov/servlets/purl/2507420. Pub date:Mon Sep 30 04:00:00 UTC 2024

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@article{osti_2507420,

  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.},

  doi          = {10.15121/2507420},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Sep 30 04:00:00 UTC 2024},

  month        = {Mon Sep 30 04:00:00 UTC 2024}

}

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DOI: https://doi.org/10.15121/2507420

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