Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS)

Description

This data set contains the full-resolution and state-level data described in the linked technical report (https://www.nrel.gov/docs/fy18osti/71492.pdf). It can be accessed with the NREL-dsgrid-legacy-efs-api, available on GitHub at https://github.com/dsgrid/dsgrid-legacy-efs-api and through PyPI (pip install NREL-dsgrid-legacy-efs-api). The data format is HDF5. The API is written in Python. This initial dsgrid data set, whose description was originally published in 2018, covers electricity demand in the contiguous United States (CONUS) for the historical year of 2012. It is a proof-of-concept demonstrating the feasibility of reconciling bottom-up demand modeling results with top-down information about electricity demand to create a more detailed description than is possible with either type of data source on its own. The result is demand data that is more highly resolved along geographic, temporal, sectoral, and end-use dimensions as may be helpful for conducting electricity sector-wide "what-if" analysis of, e.g., energy efficiency, electrification, and/or demand flexibility. Although we conducted bottom-up versus top-down validation, the final residuals were significant, especially at higher geographic and temporal resolution. Please see the Executive Summary and/or Section 3 of the report to obtain an understanding of the data set limitations before deciding whether these data are suitable for any particular use case. New dsgrid datasets are under development. Please visit https://www.nrel.gov/analysis/dsgrid.html for the latest information which is also linked in the data resources.

Resources

Name Format Description Link
21 Electrification Futures Study homepage, which includes an overall description and links to all of the publications and data products. https://www.nrel.gov/analysis/electrification-futures.html
21 Python package for marshalling dsgrid data into a common HDF5 format. This API enables .dsg file creation, browsing, and transformation. Example Jupyter notebooks demonstrate capabilities and provide visualizations. https://github.com/dsgrid/dsgrid-legacy-efs-api
21 Landing page for information about the demand-side grid (dsgrid) model, contributing models, and related analysis https://www.nrel.gov/analysis/dsgrid.html
21 Includes dsgrid data produced for the EFS. Data were created in 2018 and represent historical year 2012. Includes raw data, some of which is county-level; hourly site energy by state (bottom-up components only); and state-level hourly residuals (comparison of bottom-up energy demand and top-down electricity load and losses). https://data.openei.org/s3_viewer?bucket=oedi-data-lake&prefix=dsgrid-2018-efs%2F
21 AWS public dataset program registry page for data released under the Department of Energy's (DOE) Open Energy Data Initiative (OEDI). The registry page contains information about dataset documentation, access, and contact, for each of the OEDI Data Lake datasets. https://registry.opendata.aws/oedi-data-lake/
33 Technical report that describes this data set. This report documents a new model, the demand-side grid (dsgrid) model, which was developed for the EFS and in recognition of a general need for a more detailed understanding of electricity load. https://www.nrel.gov/docs/fy18osti/71492.pdf

Tags

  • data
  • high-resolution
  • processed-data
  • electrical
  • pypl
  • analysis
  • electricity
  • grid
  • validation
  • historial-year
  • load
  • dsgrid
  • python
  • contiguous-united-states
  • electrification
  • power
  • demand-side
  • model
  • demand-flexibility
  • electricity-demand
  • modeled-data
  • electrification-futures-study
  • demand
  • energy

Topics

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