Realistic simulations of the July 1, 2011 severe wind event over the Buffalo Ridge Wind Farm

Journal Article (2017)
Author(s)

Patrick Hawbecker (University of North Carolina)

Sukanta Basu (TU Delft - Atmospheric Remote Sensing)

Lance Manuel (The University of Texas at Austin)

Research Group
Atmospheric Remote Sensing
DOI related publication
https://doi.org/10.1002/we.2122
More Info
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Publication Year
2017
Language
English
Research Group
Atmospheric Remote Sensing
Issue number
11
Volume number
20
Pages (from-to)
1803–1822

Abstract

Severe winds from thunderstorm outflows pose a challenge to wind turbine arrays. They can cause significant power ramps and disruption in energy production. They can also cause extreme structural damage to turbines as was seen in the severe storm event over the Buffalo Ridge Wind Farm on July 1, 2011. At this southwestern Minnesota site, blades from multiple turbines broke away and a tower buckled in the intense winds. In this study, we attempt to characterize meteorological conditions over the Buffalo Ridge Wind Farm area during this event. The observational network included NEXRAD radars, automated surface observation stations and a wind profiler. Storm reports from the Storm Prediction Center and damage surveys provided additional insight to the in situ measurements. Even with these datasets, assessing wind speeds around turbine rotors is difficult. Thus, Weather Research and Forecasting model simulations of the event are carried out that consider current and anticipated future operational model setups. This work addresses model spatial resolution versus parameterization complexity. Parameterizations of the planetary boundary layer and microphysics processes are evaluated based on their impact on storm dynamics and the low-level wind field. Results are also compared with the Wind Integration National Dataset, which utilizes data assimilation and an extensive continental domain. Enhanced horizontal resolution with simplistic parameterization helps increase resolved wind speeds and ramp intensity. Enhanced sophistication of microphysics parameterizations also helps increase resolved wind speeds, improve storm timing and structure and resolve higher values of turbulent kinetic energy in the lowest 1 km of the atmosphere.

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