Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development - Hinesburg, VT

Jogineedi, Rohit; Estep, Greg; Mitchell, Matt; Javed, Saqib

doi:10.15121/2447627

Title: Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development - Hinesburg, VT

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Abstract

This dataset contains materials from the Coalition for Community-Supported Affordable Geothermal Energy Systems (C2SAGES) project, which evaluated the techno-economic feasibility of a community geothermal system for a residential development in Hinesburg, VT. The dataset includes detailed soil conductivity test reports, energy models, borehole design reports, hourly energy loads for heating, cooling, and hot water, and design layouts. EnergyPlus was used to model building energy loads, and Modelica software was applied for geothermal loop sizing based on these loads and soil conductivity results. Python scripts for network design further refined the models. Key files include PDF reports on borehole design (with projections for 1-year, 15-year, and 30-year systems), soil conductivity test results, EnergyPlus modeling outputs, and 2D/3D design drawings in PDF, DWG, and DXF formats. Python notebooks for network design and OnePipe model files are also provided, with Modelica required for viewing certain files. Outputs and modeling data are in various formats including CSV, JPG, HTML, and IDF, with units and data clearly labeled to support understanding of system design and performance for the proposed geothermal solution.

Authors:

Jogineedi, Rohit; Estep, Greg; Mitchell, Matt; Javed, Saqib

GTI Energy

Publication Date:: Fri Aug 30 00:00:00 EDT 2024

Other Number(s):: 1667

DOE Contract Number:: EE0010669

Research Org.:: DOE Geothermal Data Repository; GTI Energy

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

Collaborations:: GTI Energy

Subject:: 15 GEOTHERMAL ENERGY; EnergyPlus; Hinesburg; Modelica; OnePipe; Python; Vermont; borehole design; borehole testing; building energy modeling; commGeo; community engagement; community geothermal; development; energy; energy model; geothermal; geothermal heat pump; geothermal loop sizing; geothermal network design; geothermal sizing; ground heat exchanger; hourly energy loads; modeling; report; sizing; system design; thermal conductivity test; workforce development

OSTI Identifier:: 2447627

DOI:: https://doi.org/10.15121/2447627

Citation Formats


                    Jogineedi, Rohit, Estep, Greg, Mitchell, Matt, and Javed, Saqib. Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development - Hinesburg, VT.  United States: N. p., 2024. 
        Web.  doi:10.15121/2447627.

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                    Jogineedi, Rohit, Estep, Greg, Mitchell, Matt, & Javed, Saqib. Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development - Hinesburg, VT.  United States.  doi:https://doi.org/10.15121/2447627

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                    Jogineedi, Rohit, Estep, Greg, Mitchell, Matt, and Javed, Saqib. 2024.  
"Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development - Hinesburg, VT".  United States.  doi:https://doi.org/10.15121/2447627.  https://www.osti.gov/servlets/purl/2447627. Pub date:Fri Aug 30 00:00:00 EDT 2024

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@article{osti_2447627,

  title        = {Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development - Hinesburg, VT},

  author       = {Jogineedi, Rohit and Estep, Greg and Mitchell, Matt and Javed, Saqib},

  abstractNote = {This dataset contains materials from the Coalition for Community-Supported Affordable Geothermal Energy Systems (C2SAGES) project, which evaluated the techno-economic feasibility of a community geothermal system for a residential development in Hinesburg, VT. The dataset includes detailed soil conductivity test reports, energy models, borehole design reports, hourly energy loads for heating, cooling, and hot water, and design layouts. EnergyPlus was used to model building energy loads, and Modelica software was applied for geothermal loop sizing based on these loads and soil conductivity results. Python scripts for network design further refined the models. Key files include PDF reports on borehole design (with projections for 1-year, 15-year, and 30-year systems), soil conductivity test results, EnergyPlus modeling outputs, and 2D/3D design drawings in PDF, DWG, and DXF formats. Python notebooks for network design and OnePipe model files are also provided, with Modelica required for viewing certain files. Outputs and modeling data are in various formats including CSV, JPG, HTML, and IDF, with units and data clearly labeled to support understanding of system design and performance for the proposed geothermal solution.},

  doi          = {10.15121/2447627},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Aug 30 00:00:00 EDT 2024},

  month        = {Fri Aug 30 00:00:00 EDT 2024}

}

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DOI: https://doi.org/10.15121/2447627

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