U.S. Department of EnergyOffice of Scientific and Technical Information
Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint
Abstract
Regional wind integration studies in the United States require detailed wind power output data at many locations to perform simulations of how the power system will operate under high-penetration scenarios. The wind data sets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as be time synchronized with available load profiles. The Wind Integration National Dataset (WIND) Toolkit described in this paper fulfills these requirements. A wind resource dataset, wind power production time series, and simulated forecasts from a numerical weather prediction model run on a nationwide 2-km grid at 5-min resolution will be made publicly available for more than 110,000 onshore and offshore wind power production sites.
- Authors:
- Publication Date:
- Research Org.:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy Wind and Water Power Technologies Office
- OSTI Identifier:
- 1107455
- Report Number(s):
- NREL/CP-5D00-60269
- DOE Contract Number:
- AC36-08GO28308
- Resource Type:
- Conference
- Resource Relation:
- Conference: To be presented at the 12th International Workshop on the Large-Scale Integration of Wind Power into Power Systems, 22-24 October 2013, London, England
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 17 WIND ENERGY; WIND POWER; WIND RESOURCE ASSESSMENT; WIND INTEGRATION; NUMERICAL WEATHER PREDICTION; Wind Energy
Citation Formats
Draxl, C., Hodge, B. M., Orwig, K., Jones, W., Searight, K., Getman, D., Harrold, S., McCaa, J., Cline, J., and Clark, C. Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint. United States: N. p., 2013.
Web.
Draxl, C., Hodge, B. M., Orwig, K., Jones, W., Searight, K., Getman, D., Harrold, S., McCaa, J., Cline, J., & Clark, C. Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint. United States.
Draxl, C., Hodge, B. M., Orwig, K., Jones, W., Searight, K., Getman, D., Harrold, S., McCaa, J., Cline, J., and Clark, C. 2013.
"Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint". United States. https://www.osti.gov/servlets/purl/1107455.
@article{osti_1107455,
title = {Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint},
author = {Draxl, C. and Hodge, B. M. and Orwig, K. and Jones, W. and Searight, K. and Getman, D. and Harrold, S. and McCaa, J. and Cline, J. and Clark, C.},
abstractNote = {Regional wind integration studies in the United States require detailed wind power output data at many locations to perform simulations of how the power system will operate under high-penetration scenarios. The wind data sets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as be time synchronized with available load profiles. The Wind Integration National Dataset (WIND) Toolkit described in this paper fulfills these requirements. A wind resource dataset, wind power production time series, and simulated forecasts from a numerical weather prediction model run on a nationwide 2-km grid at 5-min resolution will be made publicly available for more than 110,000 onshore and offshore wind power production sites.},
doi = {},
url = {https://www.osti.gov/biblio/1107455},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Oct 01 00:00:00 EDT 2013},
month = {Tue Oct 01 00:00:00 EDT 2013}
}