Development of a numerical wind atlas for South Africa

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

doi:10.1016/j.egypro.2015.07.873

Development of a numerical wind atlas for South Africa

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

University of Cape Town

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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 language	English
Journal	Energy Procedia
Volume	76
Pages (from-to)	128-137
ISSN	1876-6102
DOIs	https://doi.org/10.1016/j.egypro.2015.07.873
Publication status	Published - 2015
Event	European Geosciences Union General Assembly 2015 - Austria Center Vienna , Vienna, Austria Duration: 12 Apr 2015 → 17 Apr 2015 http://www.egu2015.eu/egu_today.html

Conference

Conference	European Geosciences Union General Assembly 2015
Location	Austria Center Vienna
Country/Territory	Austria
City	Vienna
Period	12/04/2015 → 17/04/2015
Internet address	http://www.egu2015.eu/egu_today.html

Bibliographical note

Keywords

Numerical wind atlas
South Africa
KAMM
ERF
WAsP
Wind atlas methodology

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title = "Development of a numerical wind atlas for South Africa",

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.",

keywords = "Numerical wind atlas, South Africa, KAMM, ERF, WAsP, Wind atlas methodology",

author = "Christopher Lennard and Hahmann, {Andrea N.} and Jake Badger and Mortensen, {Niels Gylling} and Brendan Argent",

note = "{\textcopyright} 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license; European Geosciences Union General Assembly 2015, EGU 2015 ; Conference date: 12-04-2015 Through 17-04-2015",

year = "2015",

doi = "10.1016/j.egypro.2015.07.873",

language = "English",

volume = "76",

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AU - Lennard, Christopher

AU - Hahmann, Andrea N.

AU - Badger, Jake

AU - Mortensen, Niels Gylling

AU - Argent, Brendan

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Numerical wind atlas

KW - South Africa

KW - KAMM

KW - ERF

KW - WAsP

KW - Wind atlas methodology

U2 - 10.1016/j.egypro.2015.07.873

DO - 10.1016/j.egypro.2015.07.873

M3 - Conference article

SN - 1876-6102

VL - 76

SP - 128

EP - 137

JO - Energy Procedia

JF - Energy Procedia

T2 - European Geosciences Union General Assembly 2015

Y2 - 12 April 2015 through 17 April 2015

ER -

Development of a numerical wind atlas for South Africa

Abstract

Conference

Bibliographical note

Keywords

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