Sold by: National Laboratory of the Rockies
Open data
|
Deployed on AWS
This data lake contains multiple datasets related to fundamental problems
in wind energy research. This includes data for wind plant power production
for various layouts/wind flow scenarios, data for two- and three-dimensional
flow around different wind turbine airfoils/blades, wind turbine noise
production, among others. The purpose of these datasets is to establish a
standard benchmark against which new AI/ML methods can be tested, compared,
and deployed. Details regarding the generation and formatting of the data for
each dataset is included in the metadata as well as example notebooks and
documentation that show how to access the data for ML modeling.
Overview
This data lake contains multiple datasets related to fundamental problems in wind energy research. This includes data for wind plant power production for various layouts/wind flow scenarios, data for two- and three-dimensional flow around different wind turbine airfoils/blades, wind turbine noise production, among others. The purpose of these datasets is to establish a standard benchmark against which new AI/ML methods can be tested, compared, and deployed. Details regarding the generation and formatting of the data for each dataset is included in the metadata as well as example notebooks and documentation that show how to access the data for ML modeling.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- [Wind AI Bench Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets](https://data.openei.org/submissions/5884)
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::nrel-pds-windai/wind_plant_power/floris/
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://nrel-pds-windai/wind_plant_power/floris//
- Description
- [Wind AI Bench Airfoil Computational Fluid Dynamics (CFD) - 2k Shapes Data Sets](https://data.openei.org/submissions/5970)
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::nrel-pds-windai/aerodynamic_shapes/2D/2K_airfoils/
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://nrel-pds-windai/aerodynamic_shapes/2D/2K_airfoils//
- Description
- [Wind AI Bench Airfoil Computational Fluid Dynamics (CFD) - 9k Shapes Data Sets](https://data.openei.org/submissions/5889)
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::nrel-pds-windai/aerodynamic_shapes/2D/9K_airfoils/
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://nrel-pds-windai/aerodynamic_shapes/2D/9K_airfoils//
Resources
Vendor resources
Support
Contact
Ryan King (ryan.king@nrel.gov )
Managed By
How to cite
Wind AI Bench was accessed on DATE from https://registry.opendata.aws/nrel-pds-windai .
License
Creative Commons Attribution 4.0 United States License
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