Department of Energy's Open Energy Data Initiative (OEDI)

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/oedi-data-lake-dataset")

fs.listdir("s3://oedi-data-lake/")

Description:

Data released under the Department of Energy's Open Energy Data Initiative (DOE). The Open Energy Data Initiative (OEDI) aims to improve and automate access of high-value energy data sets across the U.S. Department of Energy’s (DOE’s) programs, offices, and national laboratories. OEDI aims to make data actionable and discoverable by researchers and industry to accelerate analysis and advance innovation.

Contact:

Data released under the Department of Energy's Open Energy Data Initiative (DOE). The Open Energy Data Initiative (OEDI) aims to improve and automate access of high-value energy data sets across the U.S. Department of Energy’s (DOE’s) programs, offices, and national laboratories. OEDI aims to make data actionable and discoverable by researchers and industry to accelerate analysis and advance innovation.

Update Frequency:

As needed

Managed By:

https://www.nrel.gov/

Collabs:

• ASDI:
  • Tags: energy

Resources:

1. resource:
   • Description: Data Catalog of the Open Energy Data Initiative (OEDI)
   • ARN: arn:aws:s3:::oedi-data-lake/
   • Region: us-west-2
   • Type: S3 Bucket
   • Explore: Browse Dataset
2. resource:
   • Description: University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy
   • ARN: arn:aws:s3:::oedi-data-lake/umcm/
   • Region: us-west-2
   • Type: S3 Bucket
   • Explore: Browse Dataset
3. resource:
   • Description: Distributed Generation Market Demand (dGen) model
   • ARN: arn:aws:s3:::oedi-data-lake/dgen/
   • Region: us-west-2
   • Type: S3 Bucket
   • Explore: Browse Dataset
4. resource:
   • Description: Lawrence Berkeley National Laboratory (LBNL) Tracking the Sun
   • ARN: arn:aws:s3:::oedi-data-lake/tracking-the-sun/
   • Region: us-west-2
   • Type: S3 Bucket
   • Explore: Browse Dataset
5. resource:
   • Description: Lawrence Berkeley National Laboratory (LBNL) AlphaBuilding-SyntheticDataset
   • ARN: arn:aws:s3:::oedi-data-lake/building_synthetic_dataset/A_Synthetic_Building_Operation_Dataset.h5
   • Region: us-west-2
   • Type: S3 Bucket
   • Explore: Browse Dataset
6. resource:
   • Description: National Renewable Energy Laboratory (NREL) PV Rooftop Database - (PVRDB)
   • ARN: arn:aws:s3:::oedi-data-lake/pv-rooftop/
   • Region: us-west-2
   • Type: S3 Bucket
   • Explore: Browse Dataset
7. resource:
   • Description: National Renewable Energy Laboratory (NREL) PV Rooftop Database - Puerto Rico (PVRDB-PR)
   • ARN: arn:aws:s3:::oedi-data-lake/pv-rooftop-pr/
   • Region: us-west-2
   • Type: S3 Bucket
   • Explore: Browse Dataset
8. resource:
   • Description: Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scenarios (SMART-DS) Datasets
   • ARN: arn:aws:s3:::oedi-data-lake/SMART-DS/
   • Region: us-west-2
   • Type: S3 Bucket
   • Explore: Browse Dataset
9. resource:
   • Description: NREL's Annual Technology Baseline (ATB)
   • ARN: arn:aws:s3:::oedi-data-lake/ATB/
   • Region: us-west-2
   • Type: S3 Bucket
   • Explore: Browse Dataset
10. resource:
    • Description: End-Use Load Profiles for the U.S. Building Stock
    • ARN: arn:aws:s3:::oedi-data-lake/nrel-pds-building-stock/
    • Region: us-west-2
    • Type: S3 Bucket
    • Explore: Browse Dataset
11. resource:
    • Description: Photovoltaic Data Acquisition (PVDAQ) Public Datasets
    • ARN: arn:aws:s3:::oedi-data-lake/pvdaq/
    • Region: us-west-2
    • Type: S3 Bucket
    • Explore: Browse Dataset
12. resource:
    • Description: BUTTER - Empirical Deep Learning Dataset
    • ARN: arn:aws:s3:::oedi-data-lake/butter/
    • Region: us-west-2
    • Type: S3 Bucket
    • Explore: Browse Dataset
13. resource:
    • Description: AlphaBuilding - Synthetic Dataset
    • ARN: arn:aws:s3:::oedi-data-lake/building_synthetic_dataset/
    • Region: us-west-2
    • Type: S3 Bucket
    • Explore: Browse Dataset

Tags:

aws-pds, energy, environmental, sustainability, geospatial, model, solar, lidar

Tools & Applications:

1. tools & applications:

   • Title: Tracking the Sun Tool
   • URL: https://emp.lbl.gov/tracking-sun-tool
   • AuthorName: Lawrence Berkeley National Laboratory (LBNL)
   • AuthorURL: https://emp.lbl.gov/tracking-the-sun

2. tools & applications:

   • Title: NSRDB Viewer
   • URL: https://maps.nrel.gov/nsrdb-viewer/?aL=0&bL=groad&cE=0&lR=0&mC=31.653381399664%2C-3.1640625&zL=2
   • AuthorName: National Renewable Energy Laboratory (NREL)
   • AuthorURL: https://www.nrel.gov/

Publication:

1. publication:

   • Title: On the Use of Coupled Wind, Wave, and Current Fields in the Simulation of Loads on BottomSupported Offshore Wind Turbines during Hurricanes
   • URL: https://www.nrel.gov/docs/fy16osti/65283.pdf
   • AuthorName: E. Kim, L. Manuel, M. Curcic, S. S. Chen, C. Phillips, P. Veers

2. publication:

   • Title: The Distributed Generation Market Demand Model (dGen):Documentation
   • URL: https://www.nrel.gov/docs/fy16osti/65231.pdf
   • AuthorName: B. Sigrin, M. Gleason, R. Preus, I. Baring-Gould, R. Margolis

3. publication:

   • Title: Tracking the Sun Pricing and Design Trends for Distributed Photovoltaic Systems in the United States: 2019 Edition
   • URL: https://emp.lbl.gov/sites/default/files/tracking_the_sun_2019_report.pdf
   • AuthorName: G. Barbose, N. Darghouth

4. publication:

   • Title: Rooftop Solar Technical Potential for Low-to-Moderate Income Households in the United States
   • URL: https://www.nrel.gov/docs/fy18osti/70901.pdf
   • AuthorName: Benjamin Sigrin and Meghan Mooney

5. publication:

   • Title: Using GIS-based methods and lidar data to estimate rooftop solar technical potential in US cities
   • URL: https://iopscience.iop.org/article/10.1088/1748-9326/aa7225/pdf
   • AuthorName: Robert Margolis et al 2017 Environ. Res. Lett. 12 074013

6. publication:

   • Title: Estimating rooftop solar technical potential across the US using a combination of GIS-based methods, lidar data, and statistical modeling
   • URL: https://iopscience.iop.org/article/10.1088/1748-9326/aaa554/pdf
   • AuthorName: Pieter Gagnon et al 2018 Environ. Res. Lett. 13 024027

7. publication:

   • Title: Rooftop Solar Photovoltaic Technical Potential in the United States: A Detailed Assessment
   • URL: https://www.nrel.gov/docs/fy16osti/65298.pdf
   • AuthorName: Pieter Gagnon, Robert Margolis, Jennifer Melius, Caleb Phillips, and Ryan Elmore