1331. On the accurate determination of wind velocity at a point location using converging beam triple LIDAR
Invited abstract in session WC-44: Improving data and methods for energy system investment, stream Energy Economics & Management.
Wednesday, 12:30-14:00Room: Newlyn 1.01
Authors (first author is the speaker)
| 1. | Anthony Brooms
|
| School of Computing and Mathematical Sciences, Birkbeck, University of London | |
| 2. | Theodore Holtom
|
| Wind Farm Analytics Ltd |
Abstract
The accurate determination of wind velocity is important for assessing the suitability of sites for hosting wind farms, and for managing the operation of wind turbines in real time, in order to maximize potential energy yield, as well as the life-span and fidelity of associated infrastructure. Current industry practice relies on wind measurement systems based upon a diverging beam approach, or conical scan, which combines samples from a large circle surrounding the target measurement point, thereby essentially averaging the measurement over a large sampling region. However, with a diverging beam approach, not only is the determination of the actual velocity potentially very inaccurate, but gauging the uncertainty associated with that determination is challenging.
An alternative is to use converging beam triple LIDAR: line-of-sight measurements from three different directions, converging at the point of interest are recorded. Under the converging beam approach, not only is the velocity determination more accurate, but it is also possible to meaningfully perform an uncertainty propagation analysis for it. In this presentation, we review some results pertaining to that uncertainty analysis, and argue that configurations that minimize uncertainty are ones that maximize the volume of an associated parallelepiped of unit edge length.
Keywords
- Engineering Optimization
- OR in Environment and Climate change
- Continuous Optimization
Status: accepted
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