2015
DOI: 10.1175/bams-d-14-00107.1
|View full text |Cite
|
Sign up to set email alerts
|

The Wind Forecast Improvement Project (WFIP): A Public–Private Partnership Addressing Wind Energy Forecast Needs

Abstract: The Wind Forecast Improvement Project (WFIP) is a public–private research program, the goal of which is to improve the accuracy of short-term (0–6 h) wind power forecasts for the wind energy industry. WFIP was sponsored by the U.S. Department of Energy (DOE), with partners that included the National Oceanic and Atmospheric Administration (NOAA), private forecasting companies (WindLogics and AWS Truepower), DOE national laboratories, grid operators, and universities. WFIP employed two avenues for improving wind… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
76
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
8
1

Relationship

2
7

Authors

Journals

citations
Cited by 95 publications
(79 citation statements)
references
References 27 publications
2
76
0
Order By: Relevance
“…Thus, this study lays the groundwork for future investigations to compare the power output of the WFP scheme to the observed power production, which can be conducted with nacelle anemometer measurements (St. Martin et al 2017). Since mesoscale modelling is crucial in predicting power production in wind farms (Marquis et al 2011;Jiménez et al 2015;Wilczak et al 2015), comparisons of predicted and observed power output can help to identify areas for improvement in the WFP scheme in the WRF model. Moreover, accurate representation of wind farms in numerical weather prediction models is important for both simulating windenergy production and planning for energy infrastructure (Jacobson et al 2015;MacDonald et al 2016).…”
Section: Discussionmentioning
confidence: 99%
“…Thus, this study lays the groundwork for future investigations to compare the power output of the WFP scheme to the observed power production, which can be conducted with nacelle anemometer measurements (St. Martin et al 2017). Since mesoscale modelling is crucial in predicting power production in wind farms (Marquis et al 2011;Jiménez et al 2015;Wilczak et al 2015), comparisons of predicted and observed power output can help to identify areas for improvement in the WFP scheme in the WRF model. Moreover, accurate representation of wind farms in numerical weather prediction models is important for both simulating windenergy production and planning for energy infrastructure (Jacobson et al 2015;MacDonald et al 2016).…”
Section: Discussionmentioning
confidence: 99%
“…Nocturnal low-level jets (LLJs; [47][48][49][50][51]) occur frequently over this region. These LLJs and associated wind speed maxima are one of the most important reasons for the abundance of wind farms, as well as significant nighttime wind power production, over this region [52][53][54].…”
Section: Low-level Jetsmentioning
confidence: 99%
“…They are particularly important due to their role in the formation of the climate and their impacts on the production of wind energy. Wilczak et al (2015) determined that LLJs drive wind farm capacity factors to over 60 % during the nocturnal hours. Thus, they are beneficial for the wind energy production; however, it is not totally clear what their influence is in terms of the turbine's structure.…”
Section: Introductionmentioning
confidence: 99%