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

Publicly accessible License 

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.

Citation Formats

TY - DATA AB - 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. AU - Jogineedi, Rohit A2 - Estep, Greg A3 - Mitchell, Matt A4 - Javed, Saqib DB - Geothermal Data Repository DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/2447627 KW - geothermal KW - energy KW - community geothermal KW - geothermal sizing KW - borehole testing KW - geothermal heat pump KW - workforce development KW - building energy modeling KW - ground heat exchanger KW - geothermal network design KW - community engagement KW - commGeo KW - Hinesburg KW - Vermont KW - Modelica KW - EnergyPlus KW - OnePipe KW - Python KW - modeling KW - thermal conductivity test KW - report KW - energy model KW - borehole design KW - hourly energy loads KW - sizing KW - geothermal loop sizing KW - system design KW - development LA - English DA - 2024/08/30 PY - 2024 PB - GTI Energy T1 - Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development - Hinesburg, VT UR - https://doi.org/10.15121/2447627 ER -
Export Citation to RIS
Jogineedi, Rohit, et al. Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development - Hinesburg, VT. GTI Energy, 30 August, 2024, Geothermal Data Repository. https://doi.org/10.15121/2447627.
Jogineedi, R., Estep, G., Mitchell, M., & Javed, S. (2024). Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development - Hinesburg, VT. [Data set]. Geothermal Data Repository. GTI Energy. https://doi.org/10.15121/2447627
Jogineedi, Rohit, Greg Estep, Matt Mitchell, and Saqib Javed. Community Geothermal: Soil Conductivity, Borehole Design, Energy Models, and Load Data for a Residential System Development - Hinesburg, VT. GTI Energy, August, 30, 2024. Distributed by Geothermal Data Repository. https://doi.org/10.15121/2447627
@misc{GDR_Dataset_1667, 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.}, url = {https://gdr.openei.org/submissions/1667}, year = {2024}, howpublished = {Geothermal Data Repository, GTI Energy, https://doi.org/10.15121/2447627}, note = {Accessed: 2025-04-24}, doi = {10.15121/2447627} }
https://dx.doi.org/10.15121/2447627

Details

Data from Aug 30, 2024

Last updated Sep 24, 2024

Submitted Sep 23, 2024

Organization

GTI Energy

Contact

Kaushik Biswas

530.322.9878

Authors

Rohit Jogineedi

GTI Energy

Greg Estep

LN Consulting

Matt Mitchell

National Renewable Energy Laboratory

Saqib Javed

National Renewable Energy Laboratory

DOE Project Details

Project Name Community Geothermal Heating and Cooling Design and Deployment

Project Lead Arlene Anderson

Project Number EE0010669

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