Community Geothermal: Borefield Design, Thermal Conductivity, and Subsurface Modeling Data - Chicago, IL

Baser, Tugce; Jello, Josiane; Nieto, Katherine; Stumpf, Andrew; Anand, Sachin; Ning, Xiaoyue

doi:10.15121/2448097

Title: Community Geothermal: Borefield Design, Thermal Conductivity, and Subsurface Modeling Data - Chicago, IL

Dataset
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Abstract

This dataset encompasses the development of a geothermal energy system for the West Woodlawn neighborhood in Chicago, Illinois. This project is part of a broader initiative to design and deploy geothermal heating and cooling systems at a community scale. The dataset includes thermal conductivity test results, calculations for borehole sizing based on the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) method, as well as simulated thermal loads based on actual energy usage from individual buildings. Also provided here are files used for numerical modeling via COMSOL Multiphysics to simulate borefield design and subsurface thermal behavior. Two manuscripts are attached, which outline the broad objectives of the project and a description of the numerical modeling methodology and results.

Authors:

Baser, Tugce; Jello, Josiane; Nieto, Katherine; Stumpf, Andrew; Anand, Sachin; Ning, Xiaoyue

Saint Louis University

Publication Date:: Mon Dec 04 04:00:00 UTC 2023

Other Number(s):: 1665

DOE Contract Number:: EE0010661

Research Org.:: DOE Geothermal Data Repository; Saint Louis University

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

Collaborations:: Saint Louis University

Subject:: 15 GEOTHERMAL ENERGY; ASHRAE; COMSOL; Chicago; borefield; borehole sizing; building loads; commGeo; community geothermal; community scale; efficient design; energy; geothermal; heating and cooling; modeling; numerical modeling; processed data; sustainable; thermal conductivity; thermal conductivity test; thermal loads

OSTI Identifier:: 2448097

DOI:: https://doi.org/10.15121/2448097

Citation Formats


                    Baser, Tugce, Jello, Josiane, Nieto, Katherine, Stumpf, Andrew, Anand, Sachin, and Ning, Xiaoyue. Community Geothermal: Borefield Design, Thermal Conductivity, and Subsurface Modeling Data - Chicago, IL.  United States: N. p., 2023. 
        Web.  doi:10.15121/2448097.

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                    Baser, Tugce, Jello, Josiane, Nieto, Katherine, Stumpf, Andrew, Anand, Sachin, & Ning, Xiaoyue. Community Geothermal: Borefield Design, Thermal Conductivity, and Subsurface Modeling Data - Chicago, IL.  United States.  doi:https://doi.org/10.15121/2448097

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                    Baser, Tugce, Jello, Josiane, Nieto, Katherine, Stumpf, Andrew, Anand, Sachin, and Ning, Xiaoyue. 2023.  
"Community Geothermal: Borefield Design, Thermal Conductivity, and Subsurface Modeling Data - Chicago, IL".  United States.  doi:https://doi.org/10.15121/2448097.  https://www.osti.gov/servlets/purl/2448097. Pub date:Mon Dec 04 04:00:00 UTC 2023

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@article{osti_2448097,

  title        = {Community Geothermal: Borefield Design, Thermal Conductivity, and Subsurface Modeling Data - Chicago, IL},

  author       = {Baser, Tugce and Jello, Josiane and Nieto, Katherine and Stumpf, Andrew and Anand, Sachin and Ning, Xiaoyue},

  abstractNote = {This dataset encompasses the development of a geothermal energy system for the West Woodlawn neighborhood in Chicago, Illinois. This project is part of a broader initiative to design and deploy geothermal heating and cooling systems at a community scale. The dataset includes thermal conductivity test results, calculations for borehole sizing based on the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) method, as well as simulated thermal loads based on actual energy usage from individual buildings. Also provided here are files used for numerical modeling via COMSOL Multiphysics to simulate borefield design and subsurface thermal behavior. Two manuscripts are attached, which outline the broad objectives of the project and a description of the numerical modeling methodology and results.},

  doi          = {10.15121/2448097},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Dec 04 04:00:00 UTC 2023},

  month        = {Mon Dec 04 04:00:00 UTC 2023}

}

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DOI: https://doi.org/10.15121/2448097

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