Development of a numerical wind atlas for South Africa

Christopher Lennard, Andrea N. Hahmann, Jake Badger, Niels Gylling Mortensen, Brendan Argent

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Abstract

Two verified wind atlases have been developed for South Africa. The first adopted a statistical-dynamical approach and the second a novel, fully dynamical approach. We verify the atlases against an observational wind atlas generated from three years of data from 10 measurement masts. The statistical-dynamical method underestimates the generalized mean wind speeds at the observation sites whereas the fully dynamical method has lower biases and slightly overestimates the generalized mean wind speeds. The dynamical method captures thermally forced dynamical processes and also resolves topographically enhanced flows the statistical-dynamical method cannot.
Original languageEnglish
JournalEnergy Procedia
Volume76
Pages (from-to)128-137
ISSN1876-6102
DOIs
Publication statusPublished - 2015
EventEuropean Geosciences Union General Assembly 2015 - Austria Center Vienna , Vienna, Austria
Duration: 12 Apr 201517 Apr 2015
http://www.egu2015.eu/egu_today.html

Conference

ConferenceEuropean Geosciences Union General Assembly 2015
LocationAustria Center Vienna
CountryAustria
CityVienna
Period12/04/201517/04/2015
Internet address

Bibliographical note

© 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license

Keywords

  • Numerical wind atlas
  • South Africa
  • KAMM
  • ERF
  • WAsP
  • Wind atlas methodology

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