Front-of-Meter Model Results

Phillips, Caleb; Lockshin, Jane

doi:10.21947/2564075

Title: Front-of-Meter Model Results

Dataset
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Abstract

These files contains aggregations of key variables from the NREL Distributed Wind Futures Study using full parcel level data. These variables describe total technical and economic potential for distributed wind turbine deployment. Aggregations are available at the (1) county, (2) zipcode (zip code tabulation area or zcta), and (3) US Census block group level. Each scenario is coded with the scenario name (e.g., baseline) and year (e.g., 2022). Those files postfixed with 'econpot' contain results for only those parcels that are economically viable while the files postfixed with 'techpot' include results for all parcels that are technically feasible. Hence these correspond to technoeconomic and technical potential respectively. The data are available as CSV or Geopackage. Columns in the files are as follows: * geoid: geographic identifier (FIPS code or similar) * min_techpot_sum_kw: technical potential for all parcels in kW using turbines downsized to demand when appropriate * max_techpot_sum_kw: technical potential for all parcels in kW without downsizing turbines * aep_sum_kwh: annual energy production estimate in kWh * cf_mean_ratio: mean capacity factor * lcoe_mean_cents_per_kwh: mean levelized cost of energy for parcels in geography in cents per kWh * lcoe_std_cents_per_kwh: standard deviation of the above * parcel_area_sum_acres: total area of viable parcelsmore »« less

Authors:

Phillips, Caleb; Lockshin, Jane

National Renewable Energy Laboratory; Pacific Northwest National Laboratory
National Renewable Energy Laboratory

Publication Date:: Mon May 12 00:00:00 EDT 2025

Research Org.:: Atmosphere to Electrons (A2e) Data Archive and Portal, Pacific Northwest National Laboratory; PNNL

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)

Subject:: 17 WIND ENERGY

OSTI Identifier:: 2564075

DOI:: https://doi.org/10.21947/2564075

Citation Formats


                    Phillips, Caleb, and Lockshin, Jane. Front-of-Meter Model Results.  United States: N. p., 2025. 
        Web.  doi:10.21947/2564075.

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                    Phillips, Caleb, & Lockshin, Jane. Front-of-Meter Model Results.  United States.  doi:https://doi.org/10.21947/2564075

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                    Phillips, Caleb, and Lockshin, Jane. 2025.  
"Front-of-Meter Model Results".  United States.  doi:https://doi.org/10.21947/2564075.  https://www.osti.gov/servlets/purl/2564075. Pub date:Mon May 12 00:00:00 EDT 2025

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@article{osti_2564075,

  title        = {Front-of-Meter Model Results},

  author       = {Phillips, Caleb and Lockshin, Jane},

  abstractNote = {These files contains aggregations of key variables from the NREL Distributed Wind Futures Study using full parcel level data. These variables describe total technical and economic potential for distributed wind turbine deployment. Aggregations are available at the (1) county, (2) zipcode (zip code tabulation area or zcta), and (3) US Census block group level. Each scenario is coded with the scenario name (e.g., baseline) and year (e.g., 2022). Those files postfixed with 'econpot' contain results for only those parcels that are economically viable while the files postfixed with 'techpot' include results for all parcels that are technically feasible. Hence these correspond to technoeconomic and technical potential respectively. The data are available as CSV or Geopackage. Columns in the files are as follows: * geoid: geographic identifier (FIPS code or similar) * min_techpot_sum_kw: technical potential for all parcels in kW using turbines downsized to demand when appropriate * max_techpot_sum_kw: technical potential for all parcels in kW without downsizing turbines * aep_sum_kwh: annual energy production estimate in kWh * cf_mean_ratio: mean capacity factor * lcoe_mean_cents_per_kwh: mean levelized cost of energy for parcels in geography in cents per kWh * lcoe_std_cents_per_kwh: standard deviation of the above * parcel_area_sum_acres: total area of viable parcels in acres * n_turbines: number of cited turbines (one per viable parcel currently) Note: These are preliminary results from the full-parcel 2024 update of the Distributed Wind Energy Futures study. Please take care when making use of the data, and feel free to contact the team with any questions. Full documentation in support of these data is in progress and will follow.},

  doi          = {10.21947/2564075},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon May 12 00:00:00 EDT 2025},

  month        = {Mon May 12 00:00:00 EDT 2025}

}

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DOI: https://doi.org/10.21947/2564075

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