Supporting Data for "Wind farm power optimization through wake steering", PNAS, 2019
Abstract/Contents
- Abstract
- These data represent an experimental yaw misalignment campaign at a wind farm in Alberta, Canada. Data and wind farm access were graciously provided by TransAlta Corporation and TransAlta Renewables.
Description
Type of resource | software, multimedia |
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Date created | 2019 |
Creators/Contributors
Author | Howland, Michael F | |
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Author | Lele, Sanjiva K | |
Author | Dabiri, John O |
Subjects
Subject | Stanford School of Engineering |
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Genre | Dataset |
Bibliographic information
Related Publication | Howland MF, Lele SK, and Dabiri JO. 2019. Wind farm power optimization through wake steering. PNAS. https://www.pnas.org/cgi/doi/10.1073/pnas.1903680116 |
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Location | https://purl.stanford.edu/rn821pp7681 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred Citation
- Howland, Michael F and Lele, Sanjiva K and Dabiri, John O. (2019). Supporting Data for "Wind farm power optimization through wake steering". Stanford Digital Repository. Available at: https://purl.stanford.edu/rn821pp7681
Collection
Stanford Research Data
View other items in this collection in SearchWorksContact information
- Contact
- jodabiri@stanford.edu
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