Community Geothermal: Energy, Cost, and Carbon Modeling for District Design - Ann Arbor, MI
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.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Jessica Lee",
"@type": "vcard:Contact",
"hasEmail": "mailto:jessica.k.lee@imegcorp.com"
}
|
| dataQuality |
true
|
| description | 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. |
| distribution |
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{
"@type": "dcat:Distribution",
"title": "00_Technical Economic Environmental Assessment.pdf",
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"accessURL": "https://gdr.openei.org/files/1594/00_Technical%20Economic%20Environmental%20Assessment.pdf",
"mediaType": "application/pdf",
"description": "Includes the Technical, Economical, and Environmental Assessment for the project. Both the team's process and results are included, with references to all files included in this dataset."
},
{
"@type": "dcat:Distribution",
"title": "16_262 Homes TMY3 - Existing EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/262%20Homes%20TMY3%20-%20Existing.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation is for the 262 homes under existing conditions. This includes the raw inputs and outputs of the energy modeling simulation. The file has been oriented to show the relevant results for this study, including the building’s hourly heating/cooling load profile, electricity and gas consumption graphs, and the energy usage breakdown. This was simulated with a TMY3 weather file for Ann Arbor and compared to the existing home data to assure alignment (see Energy Audits and Utility Data). "
},
{
"@type": "dcat:Distribution",
"title": "17_262 Homes TMY3 - Geo EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/262%20Homes%20TMY3%20-%20Geo.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation is for the 262 homes with the switch to a geothermal heat pump. This includes the raw inputs and outputs of the energy modeling simulation. The file has been oriented to show the relevant results for this study, including the electricity and gas consumption graphs and the energy breakdown. This was simulated with a TMY3 weather file for Ann Arbor. "
},
{
"@type": "dcat:Distribution",
"title": "26_262 Homes TMY3 - Pump Energy.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/262%20Homes%20TMY3%20-%20Pump%20Energy.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation accounts for the additional pumping energy required to distribute across the neighborhood. This part of the system and the associated energy will be necessary to operate the system and would be operated and owned by the owner of the geothermal system. The pumping energy consumption was the only value used from this simulation. "
},
{
"@type": "dcat:Distribution",
"title": "27_500ft 260 holes Ground Loop Design Report.pdf",
"format": "pdf",
"accessURL": "https://gdr.openei.org/files/1594/500ft%20260%20holes%20GLD%20Report%20%281%29.pdf",
"mediaType": "application/pdf",
"description": "MODELING DATA: This report shows the output of the GLD (Ground Loop Design) simulation. Assuming 500 ft length wells and 260 boreholes, the simulation considers various factors including heating and cooling loads, ground thermal properties, equipment performance, and piping and fluid variables. "
},
{
"@type": "dcat:Distribution",
"title": "28_700ft 180 holes Ground Loop Design Report.pdf",
"format": "pdf",
"accessURL": "https://gdr.openei.org/files/1594/700ft%20180%20holes%20GLD%20Report%20%281%29.pdf",
"mediaType": "application/pdf",
"description": "MODELING DATA: This report shows the output of the GLD (Ground Loop Design) simulation. Assuming 700 ft length wells and 180 boreholes, the simulation considers various factors including heating and cooling loads, ground thermal properties, equipment performance, and piping and fluid variables. "
},
{
"@type": "dcat:Distribution",
"title": "20_Bryant Elementary - TMY - Existing EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Bryant%20Elementary%20-%20TMY%20-%20Existing.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation is for Bryant Elementary School under existing conditions. This includes the raw inputs and outputs of the energy modeling simulation. The file has been oriented to show the relevant results for this study, including the building’s hourly heating/cooling load profile, electricity and gas consumption graphs, and the energy usage breakdown. This was simulated with a TMY3 weather file for Ann Arbor and compared to the existing data to assure alignment (see Commercial Existing Data) "
},
{
"@type": "dcat:Distribution",
"title": "21_Bryant Elementary - TMY - Geo EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Bryant%20Elementary%20-%20TMY%20-%20Geo.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation is for Bryant Elementary School with the switch to a geothermal heat pump. This includes the raw inputs and outputs of the energy modeling simulation. The file has been oriented to show the relevant results for this study, including the electricity and gas consumption graphs and the energy breakdown. This was simulated with a TMY3 weather file for Ann Arbor. "
},
{
"@type": "dcat:Distribution",
"title": "30_Carbon Projection Analysis.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1594/Carbon%20savings%20-%20Ann%20arbor%20comm%20geo%20%282%29.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "POST PROCESSED DATA: This spreadsheet includes the carbon calculations and projections as the grid decarbonizes. "
},
{
"@type": "dcat:Distribution",
"title": "03_Commercial Building Existing Data Assembled.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1594/Commercial%20Building%20Existing%20Data%20Assembled.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "EXISTING DATA: This spreadsheet includes the edited monthly gas and electricity consumption data for all commercial buildings within the neighborhood. The data and graphs show the existing energy metered data compared to the energy modeled values. "
},
{
"@type": "dcat:Distribution",
"title": "18_Community Center - TMY - Existing EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Community%20Center%20-%20TMY%20-%20Existing.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation is for the Community Center under existing conditions. This includes the raw inputs and outputs of the energy modeling simulation. The file has been oriented to show the relevant results for this study, including the building’s hourly heating/cooling load profile, electricity and gas consumption graphs, and the energy usage breakdown. This was simulated with a TMY3 weather file for Ann Arbor and compared to the existing data to assure alignment (see Commercial Existing Data) "
},
{
"@type": "dcat:Distribution",
"title": "19_Community Center - TMY - Geo EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Community%20Center%20-%20TMY%20-%20Geo.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation is for the Community Center with the switch to a geothermal heat pump. This includes the raw inputs and outputs of the energy modeling simulation. The file has been oriented to show the relevant results for this study, including the electricity and gas consumption graphs and the energy breakdown. This was simulated with a TMY3 weather file for Ann Arbor. "
},
{
"@type": "dcat:Distribution",
"title": "22_County Health TMY - Existing EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/County%20Health%20TMY%20-%20Existing.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation is for the County Health Building under existing conditions. This includes the raw inputs and outputs of the energy modeling simulation. The file has been oriented to show the relevant results for this study, including the building’s hourly heating/cooling load profile, electricity and gas consumption graphs, and the energy usage breakdown. This was simulated with a TMY3 weather file for Ann Arbor and compared to the existing data to assure alignment (see Commercial Existing Data) "
},
{
"@type": "dcat:Distribution",
"title": "01_ELEVATE Aggregate Energy Audit Data.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1594/ELEVATE%20Aggregate%20Energy%20Audit%20Data.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "EXISTING DATA: This spreadsheet includes the raw energy audit data for 40 homes within the neighborhood. This includes information on the existing HVAC system, envelope information, and 2022 energy data (hourly electric and daily gas data for each home). The energy audits provided the EUI of each home, which was evenly divided into 3 different energy buckets: Best (45-66 EUI), Middle (66-88 EUI), and Worst (88 + EUI) Performing. "
},
{
"@type": "dcat:Distribution",
"title": "29_Energy Model Analysis - All Buildings.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1594/Energy%20Model%20Analysis%20-%20Bryant%20Neighborhood%20Geothermal%20-%20All%20Buildings%20%282%29.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "POST PROCESSED DATA: This spreadsheet takes the energy modeling raw data and calculates the energy, cost, and carbon. This includes the analysis for the individual homes (Best, Mid, and Worst) and the entire neighborhood, described in the bottom tabs of the spreadsheet. The PV calculations and the load summary are also included. Assumptions that were used within the analysis (i.e. energy modeling inputs, cost and carbon rates, commercial building scaling) are noted in red text. "
},
{
"@type": "dcat:Distribution",
"title": "07_Home - Best - Existing EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Home%20-%20Best%20-%20Existing.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation is for the "Best" performing energy bucket, representing a single-family home with an existing EUI of 45 to 66 (10% of the total homes in the neighborhood). This includes the raw inputs and outputs of the energy modeling simulation. The file has been oriented to show the relevant results for this study, including the building’s hourly heating/cooling load profile, electricity and gas consumption graphs, and the energy usage breakdown. This was simulated with a 2022 weather file for Ann Arbor and compared to the existing home data to assure alignment (see Energy Audits and Utility Data)."
},
{
"@type": "dcat:Distribution",
"title": "10_Home - Best - Geo EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Home%20-%20Best%20-%20Geo.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation file is for the "Best" performing energy bucket, representing a single-family home with the switch to a geothermal heat pump. The energy modeling results file includes the raw inputs and outputs of the simulation. The file has been oriented to show the relevant results, including the electricity and gas consumption graphs and the energy breakdown. This was simulated with a 2022 weather file for Ann Arbor. "
},
{
"@type": "dcat:Distribution",
"title": "13_Home - Best - Wx EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Home%20-%20Best%20-%20Wx.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation file is for the "Best" performing energy bucket, representing a single-family home with weatherization measures implemented. Because the “Best” envelope conditions are considered already weatherized, this file is identical to the existing best conditions. This was simulated with a 2022 weather file for Ann Arbor. "
},
{
"@type": "dcat:Distribution",
"title": "08_Home - Middle - Existing EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Home%20-%20Middle%20-%20Existing.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation is for the "Middle" performing energy bucket, representing a single-family home with an existing EUI of 66 to 88 (30% of the total homes in the neighborhood). This includes the raw inputs and outputs of the energy modeling simulation. The file has been oriented to show the relevant results for this study, including the building’s hourly heating/cooling load profile, electricity and gas consumption graphs, and the energy usage breakdown. This was simulated with a 2022 weather file for Ann Arbor and compared to the existing home data to assure alignment (see Energy Audits and Utility Data)."
},
{
"@type": "dcat:Distribution",
"title": "11_Home - Middle - Geo EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Home%20-%20Middle%20-%20Geo.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation file is for the "Middle" performing energy bucket, representing a single-family home with the switch to a geothermal heat pump. The energy modeling results file includes the raw inputs and outputs of the simulation. The file has been oriented to show the relevant results, including the electricity and gas consumption graphs and the energy breakdown. This was simulated with a 2022 weather file for Ann Arbor. "
},
{
"@type": "dcat:Distribution",
"title": "14_Home - Middle - Wx EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Home%20-%20Middle%20-%20Wx.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation file is for the "Mid" performing energy bucket, representing a single-family home with weatherization measures implemented. The envelope inputs were made to match that of the “Best” performing energy bucket. This was simulated with a 2022 weather file for Ann Arbor. "
},
{
"@type": "dcat:Distribution",
"title": "09_Home - Worst - Existing EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Home%20-%20Worst%20-%20Existing.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation is for the "Worst" performing energy bucket, representing a single-family home with an existing EUI of 88+ (60% of the total homes in the neighborhood). This includes the raw inputs and outputs of the energy modeling simulation. The file has been oriented to show the relevant results for this study, including the building’s hourly heating/cooling load profile, electricity and gas consumption graphs, and the energy usage breakdown. This was simulated with a 2022 weather file for Ann Arbor and compared to the existing home data to assure alignment (see Energy Audits and Utility Data).
"
},
{
"@type": "dcat:Distribution",
"title": "12_Home - Worst - Geo EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Home%20-%20Worst%20-%20Geo.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation file is for the "Worst" performing energy bucket, representing a single-family home with the switch to a geothermal heat pump. The energy modeling results file includes the raw inputs and outputs of the simulation. The file has been oriented to show the relevant results, including the electricity and gas consumption graphs and the energy breakdown. This was simulated with a 2022 weather file for Ann Arbor."
},
{
"@type": "dcat:Distribution",
"title": "15_Home - Worst - Wx EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Home%20-%20Worst%20-%20Wx.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation file is for the "Worst" performing energy bucket, representing a single-family home with weatherization measures implemented. The envelope inputs were made to match that of the “Best” performing energy bucket. This was simulated with a 2022 weather file for Ann Arbor. "
},
{
"@type": "dcat:Distribution",
"title": "04_NREL ResStock Energy Data.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1594/NREL_MICHIGAN_baseline_metadata_and_annual_results.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "BENCHMARKING: This dataset has been sourced from the NREL Res Stock Database which encompasses nearly 19,000 single-family households within the state of Michigan. This sheet provides the energy consumption data, broken down into their usage types. The data was used as a target EUI for the homes within the neighborhood. Utilized values have been highlighted within the spreadsheet and post processed on the second sheet."
},
{
"@type": "dcat:Distribution",
"title": "05_NREL Timeseries Data.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1594/NREL_MI_Timeseries_Data.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "BENCHMARKING: This dataset has been sourced from the NREL Res Stock Database. This sheet provides the timeseries data for each usage type for a baseline single family home within the state of Michigan. This was used to determine a reasonable usage profile for lighting, plug, and domestic hot water loads within the energy model. Utilized values have been highlighted within the spreadsheet and post processed on the second sheet."
},
{
"@type": "dcat:Distribution",
"title": "06_DOE Prototype Building.PDF",
"format": "PDF",
"accessURL": "https://gdr.openei.org/files/1594/US_SF_~1.PDF",
"mediaType": "application/pdf",
"description": "BENCHMARKING: This dataset has been sourced from the DOE Prototype Buildings: 5A + Gas Furnace + IECC 2006 + Slab. This was used as a target EUI for the homes within the neighborhood. The IDF/HTML file provides another EUI breakdown to reference."
},
{
"@type": "dcat:Distribution",
"title": "02_UTILITY Bryant Neighborhood Data - Electric and Gas.xlsx",
"format": "xlsx",
"accessURL": "https://gdr.openei.org/files/1594/UTILITY%20Bryant%20Neighborhood%20Data%20-%20Electric%20and%20Gas%20%281%29.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "EXISTING DATA: This spreadsheet includes the raw and edited monthly gas and electricity consumption data for all 262 homes within the neighborhood. Within this spreadsheet, the homes were split into the respective energy buckets determined by the Energy Audit Data and the count within each bucket was used to scale up the energy model. "
},
{
"@type": "dcat:Distribution",
"title": "23_Wheeler Center Operations - TMY - Existing EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Wheeler%20Center%20Operations%20-%20TMY%20-%20Existing.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation is for Wheeler Center under existing conditions. This includes the raw inputs and outputs of the energy modeling simulation. The file has been oriented to show the relevant results for this study, including the building’s hourly heating/cooling load profile, electricity and gas consumption graphs, and the energy usage breakdown. This was simulated with a TMY3 weather file for Ann Arbor and compared to the existing data to assure alignment (see Commercial Existing Data) "
},
{
"@type": "dcat:Distribution",
"title": "24_Wheeler Maintenance - TMY - Existing EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Wheeler%20Maintenance%20-%20TMY%20-%20Existing.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation is for Wheeler Maintenance Building under existing conditions. This includes the raw inputs and outputs of the energy modeling simulation. The file has been oriented to show the relevant results for this study, including the building’s hourly heating/cooling load profile, electricity and gas consumption graphs, and the energy usage breakdown. This was simulated with a TMY3 weather file for Ann Arbor and compared to the existing data to assure alignment (see Commercial Existing Data) "
},
{
"@type": "dcat:Distribution",
"title": "25_Wheeler Vehicle Storage - TMY - Existing EM Analysis.drs",
"format": "drs",
"accessURL": "https://gdr.openei.org/files/1594/Wheeler%20Vehicle%20Storage%20-%20TMY%20-%20Existing.drs",
"mediaType": "application/octet-stream",
"description": "MODELING DATA: This simulation is for Wheeler Vehicle Storage under existing conditions. This includes the raw inputs and outputs of the energy modeling simulation. The file has been oriented to show the relevant results for this study, including the building’s hourly heating/cooling load profile, electricity and gas consumption graphs, and the energy usage breakdown. This was simulated with a TMY3 weather file for Ann Arbor and compared to the existing data to assure alignment (see Commercial Existing Data) "
}
]
|
| DOI | 10.15121/2448525 |
| identifier | https://data.openei.org/submissions/7671 |
| issued | 2024-01-01T07:00:00Z |
| keyword |
[
"Ann Arbor",
"Design Builder",
"Energy Plus",
"Michigan",
"ResStock",
"assessment",
"benchmarking",
"building modeling",
"carbon",
"commGeo",
"community geothermal",
"cost",
"development",
"district geothermal",
"economic",
"energy",
"energy audit",
"energy load",
"energy model",
"environmental",
"geothermal",
"heating and cooling",
"load timeseries",
"model",
"processed data"
]
|
| landingPage | https://gdr.openei.org/submissions/1594 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2024-10-01T16:33:06Z |
| programCode |
[
"019:006"
]
|
| projectLead | Arlene Anderson |
| projectNumber | EE0010665 |
| projectTitle | City of Ann Arbor - District Geothermal Design and Deployment to Equitably Decarbonize Low Income Neighborhoods in Ann Arbor |
| publisher |
{
"name": "IMEG Corp",
"@type": "org:Organization"
}
|
| spatial |
"{"type":"Polygon","coordinates":[[[-83.9395310546875,42.09842919143453],[-83.53863124999998,42.09842919143453],[-83.53863124999998,42.337640392701196],[-83.9395310546875,42.337640392701196],[-83.9395310546875,42.09842919143453]]]}"
|
| title | Community Geothermal: Energy, Cost, and Carbon Modeling for District Design - Ann Arbor, MI |
