dGeo techno-economic simulation results for EGS-based district heating in the Northeastern United States
Dataset containing dGeo input and output simulating techno-economic feasibility of geothermal district heating with EGS in the Northeastern United States. This study is in support of GTO-funded Cornell EGS Ground-Truthing Project. Dataset provides simulation results by census tract including thermal demand, road length, energy prices, geothermal system sizing, annual demand provided by geothermal, annual demand provided by peaking boilers, system capital cost, system operation & maintenance cost, and overall levelized cost of heat.
Key assumptions for simulation run uploaded include target bottom hole temperature of 80 degrees Celsius, and construction of new district heating system in each census tract with length based on neighborhood road length (S1400 road category).
Dataset accompanies paper presented at 2025 Stanford Geothermal Workshop which includes maps visualizing dGeo results (https://pangea.stanford.edu/ERE/db/GeoConf/papers/SGW/2025/Beckers.pdf).
Citation Formats
National Renewable Energy Laboratory. (2024). dGeo techno-economic simulation results for EGS-based district heating in the Northeastern United States [data set]. Retrieved from https://gdr.openei.org/submissions/1698.
Pauling, Hannah. dGeo techno-economic simulation results for EGS-based district heating in the Northeastern United States. United States: N.p., 30 Sep, 2024. Web. https://gdr.openei.org/submissions/1698.
Pauling, Hannah. dGeo techno-economic simulation results for EGS-based district heating in the Northeastern United States. United States. https://gdr.openei.org/submissions/1698
Pauling, Hannah. 2024. "dGeo techno-economic simulation results for EGS-based district heating in the Northeastern United States". United States. https://gdr.openei.org/submissions/1698.
@div{oedi_1698, title = {dGeo techno-economic simulation results for EGS-based district heating in the Northeastern United States}, author = {Pauling, Hannah.}, abstractNote = {Dataset containing dGeo input and output simulating techno-economic feasibility of geothermal district heating with EGS in the Northeastern United States. This study is in support of GTO-funded Cornell EGS Ground-Truthing Project. Dataset provides simulation results by census tract including thermal demand, road length, energy prices, geothermal system sizing, annual demand provided by geothermal, annual demand provided by peaking boilers, system capital cost, system operation & maintenance cost, and overall levelized cost of heat.
Key assumptions for simulation run uploaded include target bottom hole temperature of 80 degrees Celsius, and construction of new district heating system in each census tract with length based on neighborhood road length (S1400 road category).
Dataset accompanies paper presented at 2025 Stanford Geothermal Workshop which includes maps visualizing dGeo results (https://pangea.stanford.edu/ERE/db/GeoConf/papers/SGW/2025/Beckers.pdf).}, doi = {}, url = {https://gdr.openei.org/submissions/1698}, journal = {}, number = , volume = , place = {United States}, year = {2024}, month = {09}}
Details
Data from Sep 30, 2024
Last updated Jan 2, 2025
Submitted Dec 31, 2024
Organization
National Renewable Energy Laboratory
Contact
Koenraad Beckers
Authors
Keywords
geothermal, energy, EGS, district heating, dGeoDOE Project Details
Project Name Cornell EGS Ground-Truthing Project
Project Lead Zachary Frone
Project Number FY25 AOP 5.4.3.1
