On the tails of the wind ramp distributions

Title

On the tails of the wind ramp distributions

 Author

DeMarco, Adam (University of North Carolina)
Basu, S. (TU Delft Atmospheric Remote Sensing) ORCID 0000-0002-0507-5349

 Date

2018

 Abstract

We analyzed several multiyear wind speed datasets from 4 different geographical locations. The probability density functions of wind ramps from all these sites revealed remarkably similar shapes. The tails of the probability density functions are much heavier than a Gaussian distribution, and they also systematically depend on time increments. Quite interestingly, from a purely statistical standpoint, the characteristics of the extreme ramp‐up and ramp‐down events are found to be almost identical. With the aid of extreme value theory, we describe several other inherent features of extreme wind ramps in this paper.

 Subject

extreme value theory
Hill plot
Pareto distribution
tail-index

 To reference this document use:

http://resolver.tudelft.nl/uuid:34f22fc9-a54e-40f6-b2a0-e0332ae15f69

 DOI

https://doi.org/10.1002/we.2202

 ISSN

1095-4244

 Source

Wind Energy, 21 (10), 892-905

 Part of collection

Institutional Repository

 Document type

journal article

 Rights

© 2018 Adam DeMarco, S. Basu
Files
PDF DeMarco_et_al_2017_Wind_Energy.pdf 6.41 MB
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