U.S. Department of EnergyOffice of Scientific and Technical Information
GridPIQ Reference Data
Abstract
GridPIQ uses dozens of publicly available datasets to provide context for a user's grid project, as well as defaults for users to choose from. Users can choose to import their own data to better customize their analysis or use GridPIQ-supplied defaults. This allows users to get up and running with an analysis very quickly without having to spend significant time pulling together input data. To run an electric vehicle (EV) smart charging project, a user will need to provide or select from prepopulated values for the regional load profile shape and peak load, region of interest and closest weather station, EV charging profile, number of EVs to add for the analysis, maximum EV charging power, location of chargers relative to grid infrastructure, and allowable charging times (for coordinated charging mode). The outputs of the analysis are change in emissions (CO2, SO2, NOx, SOx, and PM2.5), EV energy consumption, EV peak demand, and EV hourly consumption profile—before and after project implementation. For a detailed description of the tool methodology, including all the publicly available datasets used by the tool, see the [GridPIQ documentation](https://gridpiq.pnnl.gov/v2-beta/doc/).
- Authors:
-
- Pacific Northwest National Laboratory
- Publication Date:
- DOE Contract Number:
- AC05-76RL01830
- Research Org.:
- National Renewable Energy Laboratory; Pacific Northwest National Laboratory; Idaho National Laboratory
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office (EE-3V)
- Subject:
- 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
- OSTI Identifier:
- 2569252
- DOI:
- https://doi.org/10.15483/2569252
Citation Formats
Newman, Sarah. GridPIQ Reference Data. United States: N. p., 2025.
Web. doi:10.15483/2569252.
Newman, Sarah. GridPIQ Reference Data. United States. doi:https://doi.org/10.15483/2569252
Newman, Sarah. 2025.
"GridPIQ Reference Data". United States. doi:https://doi.org/10.15483/2569252. https://www.osti.gov/servlets/purl/2569252. Pub date:Fri Dec 12 04:00:00 UTC 2025
@article{osti_2569252,
title = {GridPIQ Reference Data},
author = {Newman, Sarah},
abstractNote = {GridPIQ uses dozens of publicly available datasets to provide context for a user's grid project, as well as defaults for users to choose from. Users can choose to import their own data to better customize their analysis or use GridPIQ-supplied defaults. This allows users to get up and running with an analysis very quickly without having to spend significant time pulling together input data. To run an electric vehicle (EV) smart charging project, a user will need to provide or select from prepopulated values for the regional load profile shape and peak load, region of interest and closest weather station, EV charging profile, number of EVs to add for the analysis, maximum EV charging power, location of chargers relative to grid infrastructure, and allowable charging times (for coordinated charging mode). The outputs of the analysis are change in emissions (CO2, SO2, NOx, SOx, and PM2.5), EV energy consumption, EV peak demand, and EV hourly consumption profile—before and after project implementation. For a detailed description of the tool methodology, including all the publicly available datasets used by the tool, see the [GridPIQ documentation](https://gridpiq.pnnl.gov/v2-beta/doc/).},
doi = {10.15483/2569252},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Dec 12 04:00:00 UTC 2025},
month = {Fri Dec 12 04:00:00 UTC 2025}
}