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

Hale, Elaine; Horsey, Henry; Johnson, Brandon; Muratori, Matteo; Wilson, Eric; Borlaug, Brennan; Christensen, Craig; Farthing, Amanda; Hettinger, Dylan; Parker, Andrew; Robertson, Joseph; Rossol, Michael; Stephen, Gord; Wood, Eric; Vairamohan, Baskar

doi:10.25984/1823248

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

Dataset
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Abstract

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 undermore »« less

Authors:

; Horsey, Henry; Johnson, Brandon;

;

; Christensen, Craig; Farthing, Amanda; Hettinger, Dylan;

; Robertson, Joseph; Rossol, Michael;

;

; Vairamohan, Baskar

National Renewable Energy Laboratory

Publication Date:: Sun Jul 08 00:00:00 EDT 2018

Other Number(s):: 4130

Research Org.:: DOE Open Energy Data Initiative (OEDI); National Renewable Energy Laboratory

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Multiple Programs (EE)

Collaborations:: National Renewable Energy Laboratory

Subject:: Array; Electrification Futures Study; PyPl; analysis; contiguous United States; data; demand; demand flexibility; demand side; demand-side; dsgrid; electrical; electricity; electricity demand; electrification; energy; grid; high-resolution; historial year; load; model; modeled data; power; processed data; python; validation

OSTI Identifier:: 1823248

DOI:: https://doi.org/10.25984/1823248

Citation Formats


                    Hale, Elaine, Horsey, Henry, Johnson, Brandon, Muratori, Matteo, Wilson, Eric, Borlaug, Brennan, Christensen, Craig, Farthing, Amanda, Hettinger, Dylan, Parker, Andrew, Robertson, Joseph, Rossol, Michael, Stephen, Gord, Wood, Eric, and Vairamohan, Baskar. Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS).  United States: N. p., 2018. 
        Web.  doi:10.25984/1823248.

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                    Hale, Elaine, Horsey, Henry, Johnson, Brandon, Muratori, Matteo, Wilson, Eric, Borlaug, Brennan, Christensen, Craig, Farthing, Amanda, Hettinger, Dylan, Parker, Andrew, Robertson, Joseph, Rossol, Michael, Stephen, Gord, Wood, Eric, & Vairamohan, Baskar. Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS).  United States.  doi:https://doi.org/10.25984/1823248

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                    Hale, Elaine, Horsey, Henry, Johnson, Brandon, Muratori, Matteo, Wilson, Eric, Borlaug, Brennan, Christensen, Craig, Farthing, Amanda, Hettinger, Dylan, Parker, Andrew, Robertson, Joseph, Rossol, Michael, Stephen, Gord, Wood, Eric, and Vairamohan, Baskar. 2018.  
"Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS)".  United States.  doi:https://doi.org/10.25984/1823248.  https://www.osti.gov/servlets/purl/1823248. Pub date:Sun Jul 08 00:00:00 EDT 2018

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@article{osti_1823248,

  title        = {Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS)},

  author       = {Hale, Elaine and Horsey, Henry and Johnson, Brandon and Muratori, Matteo and Wilson, Eric and Borlaug, Brennan and Christensen, Craig and Farthing, Amanda and Hettinger, Dylan and Parker, Andrew and Robertson, Joseph and Rossol, Michael and Stephen, Gord and Wood, Eric and Vairamohan, Baskar},

  abstractNote = {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.},

  doi          = {10.25984/1823248},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Jul 08 00:00:00 EDT 2018},

  month        = {Sun Jul 08 00:00:00 EDT 2018}

}

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DOI: https://doi.org/10.25984/1823248

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