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.

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.

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.

Included here are the mechanical, electrical, and plumbing design report and drawings for the proposed community geothermal system at an affordable housing complex in Wallingford, Connecticut. The report and drawings were developed by LN Consulting, in partnership with the University of Connecticut, which completed the energy modeling that formed the basis of the design work. The drawings can be used as a basis for a Request for Proposals to procure entities to complete construction-ready design documents.

Included here are the mechanical, electrical, and plumbing design report and drawings for the proposed community geothermal system at an affordable housing complex in Wallingford, Connecticut. The report and drawings were developed by LN Consulting, in partnership with the University of Connecticut, which completed the energy modeling that formed the basis of the design work. The drawings can be used as a basis for a Request for Proposals to procure entities to complete construction-ready design documents.

This dataset provides an overview of the design, development, and technical specifications of for a community-scale geothermal heating and cooling system in Carbondale, Colorado. This thermal energy network (TEN) within the town's Three-Two Zero Energy District (32ZED) is part of the town's efforts to achieve carbon neutrality by 2050. Provided here is a case study report detailing project objectives, technical and environmental assessments, building energy modeling, retrofit designs, and community engagement efforts. The dataset also contains design drawings for TEN components, including an Ambient Temperature Loop, Geo-Borefield, High Temperature Loop, and Mechanical and Electrical Designs for retrofitting the Third Street Center in Carbondale. These drawings cover infrastructure like ATL pumps, heat exchangers, boilers, and HTL heat pumps, offering technical blueprints that complement the report?s findings.

Report on a formation thermal conductivity test that was performed on the geothermal test bore at Ulbrich Heights at 38 Louis Circle Lane in Wallingford, Connecticut. Data are applicable only within the Wallingford region and should not be extrapolated for other climatic and geographic regions. The analysis assumes no systemic defects in the borehole prior to and during installing and testing. A graphite and Bentonite grouting mixture was assumed to be consistent throughout borehole length. These data were collected as part of the Community Geothermal Heating and Cooling Design and Deployment Grant Program. This associated project's goal is to design and develop a district geothermal heating and cooling system that will serve at least 50% of the heating and cooling load of a 132-unit, affordable housing complex in Wallingford, CT. The project is led by Connecticut Department of Energy and Environmental Protection (DEEP). Borehole drilling and thermal conductivity testing were conducted by Connecticut Wells Inc. and data were analyzed by Geothermal Resource Technologies Inc. (GRTI).

Report on a formation thermal conductivity test that was performed on the geothermal test bore at Ulbrich Heights at 38 Louis Circle Lane in Wallingford, Connecticut. Data are applicable only within the Wallingford region and should not be extrapolated for other climatic and geographic regions. The analysis assumes no systemic defects in the borehole prior to and during installing and testing. A graphite and Bentonite grouting mixture was assumed to be consistent throughout borehole length. These data were collected as part of the Community Geothermal Heating and Cooling Design and Deployment Grant Program. This associated project's goal is to design and develop a district geothermal heating and cooling system that will serve at least 50% of the heating and cooling load of a 132-unit, affordable housing complex in Wallingford, CT. The project is led by Connecticut Department of Energy and Environmental Protection (DEEP). Borehole drilling and thermal conductivity testing were conducted by Connecticut Wells Inc. and data were analyzed by Geothermal Resource Technologies Inc. (GRTI).

This data includes results on an analysis of existing and projected energy, cost, and carbon for the City of Ann Arbor - District Geothermal Design and Deployment to Equitably Decarbonize Low Income Neighborhoods in Ann Arbor project. The scope of the project includes designing and implementing a geothermal district heating and cooling system that reduces thermal heating and cooling load by 75% and greenhouse gas emissions by 40% in the project area (262 households, 6 commercial buildings). The existing neighborhood was modeled using Design Builder, an EnergyPlus software, to understand the current energy load. The energy model was then flipped to reflect the designed district geothermal heating and cooling system to project the effect on energy, carbon, and cost. This dataset includes the analysis files utilized and created for this study. There are 3 categories of data: 1) existing/benchmarking, 2) energy modeling, and 3) post processed calculations. This follows the methodology and process of the project team, which is fully explained in file 00_Technical Economic Environmental Assessment. All uses of data are referenced throughout this assessment to their respective files included below.

This data includes results on an analysis of existing and projected energy, cost, and carbon for the City of Ann Arbor - District Geothermal Design and Deployment to Equitably Decarbonize Low Income Neighborhoods in Ann Arbor project. The scope of the project includes designing and implementing a geothermal district heating and cooling system that reduces thermal heating and cooling load by 75% and greenhouse gas emissions by 40% in the project area (262 households, 6 commercial buildings). The existing neighborhood was modeled using Design Builder, an EnergyPlus software, to understand the current energy load. The energy model was then flipped to reflect the designed district geothermal heating and cooling system to project the effect on energy, carbon, and cost. This dataset includes the analysis files utilized and created for this study. There are 3 categories of data: 1) existing/benchmarking, 2) energy modeling, and 3) post processed calculations. This follows the methodology and process of the project team, which is fully explained in file 00_Technical Economic Environmental Assessment. All uses of data are referenced throughout this assessment to their respective files included below.