combinedLogos.png  
Other links: WASA Online Graphs   WASA FAQ   Wind Atlas for South Africa (WASA).kmz
WASA1:    Arrangement Drawing   Instrumentation Summary   Mast Site Information   Station and Site Description Report (April 2014).pdf
WASA2:    Arrangement Drawing   Instrumentation Summary   Mast Site Information   Station and Site Description Report (April 2017).pdf
WASA3:    Arrangement Drawing   Instrumentation Summary   Mast Site Information   Station and Site Description Report (Dec2019) v1.pdf
The WASA download site

Wind resource maps for WASA domain, South Africa

Metadata and further information

April 2014

METADATA
Data set name
Wind resource maps for WASA domain, South Africa
Data set date
April 2014
Data provider
SANEDI
Contact persons
Thembakazi Mali or Andre Otto
Contact details
ThembakaziM@sanedi.org.za or andreo@sanedi.org.za
Data type
Raster data sets with a grid cell size of 0.0025?
Data format
ArcGIS ASC
File name(s)
<province identifier> <resolution> <parameter>.asc
Data origin
Raster data sets with grid cell sizes of 250 m for NC, WC and EC

DATA PARAMETERS
Mean wind speed
Mean wind speed U [ms-1] @ 100 m above ground level
Mean power density
Mean power density P [Wm-2] @ 100 m above ground level
Terrain elevation
Elevation of modelling site in [m] above mean sea level
Ruggedness index RIX
Site RIX value calculated by WAsP (standard parameter setup)

COORDINATE SYSTEM
Projection
Plate Carr?e, longitude and latitude system
Zone number
n/a
Datum
World Geodetic System 1984 (WGS 84)

TECHNOLOGY
Calculation software
WAsP Resource Mapping System with WAsP engine version 11
Wind-climatological input
Verified Numerical Wind Atlas for South Africa (WRF-based)
Elevation data input
100-m elevation grid derived from SRTM version 3 (GL3)
Roughness data input
1-km resolution GLCC data, vectorized by DTU Wind Energy
Air density input
Standard atmosphere approximation with elevation variations only

DETAILED NOTES
Purpose
This data set was created for the WASA project and the Department of Energy, South Africa. The wind resource maps were designed specifically for inclusion in GIS-based strategic environmental assessments (SEA) for wind power in Western Cape and parts of Northern and Eastern Cape.

Methodology
Reference is made to the information and documentation available from www.wasaproject.info and www.wasa.csir.co.za.

Limitations
The data set is limited by the operational envelopes of the wind atlas methodology and the WAsP models. The accuracy depends on a) the accuracy of the VNWA, which has been verified against the data from 10 WASA measurement masts, b) the WAsP microscale modelling and c) the input topographical data.

In complex terrain (RIX > 5%), the wind resources may be significantly over-estimated by the WAsP microscale modelling. Above and close to built-up areas like cities, towns and villages, the results are less reliable. Close to and above forested areas, the results are also less reliable and should be interpreted and used accordingly.

The data set was designed specifically for planning purposes and should be used with utmost care for design, development and detailed assessments of actual wind farms; where local, on-site measurements are strongly recommended. The wind resource maps are subject to change without notice if and when more accurate and reliable data, models and procedures become available.

Available documentation
The wind atlas methodology is described in the European Wind Atlas (1989); the application of WAsP in the program documentation, see www.wasp.dk. The Verified Numerical Wind Atlas for South Africa is a product of the Wind Atlas for South Africa project and is described further on the WASA download pages http://wasadata2.csir.co.za/wasa1/WASAData.

Acknowledgements

WASA project for Frogfoot application and provision of wind-climatological and topographical data. WAsP development teams at DTU Wind Energy and World in a Box Oy for Frogfoot development.

DISCLAIMER
In no event will SANEDI and the WASA Implementation team or any person acting on behalf of SANEDI be liable for any damage, including any lost profits, lost savings, or other incidental or consequential damages arising out of the use or inability to use the information and data provided in this data set, even if SANEDI has been advised of the possibility of such damage, or for any claim by any other party.

The principles, rules, exclusions and limitations provided in the Disclaimer on the WASA download site apply to the data set described here as well, even though this data set may not be distributed via the web site. By using this data set, you agree that the exclusions and limitations of liability set out in this disclaimer are reasonable. If you do not think they are reasonable, you must not use this data set.

Mean wind speed

Mean wind speed

Mean Power Density

Mean Power Density

Terrain elevation

Terrain elevation

Ruggedness index

Ruggedness index



Please choose the file you wish to download.

WASA wind resource information sheet (April 2014)

Grid Downloads:

UTM

EC_250m_Elevation_2014-04-15
EC_250m_PD_2014-04-15
EC_250m_RIX_2014-04-15
EC_250m_U_2014-04-15
NC_250m_Elevation_2014-04-09
NC_250m_PD_2014-04-09
NC_250m_RIX_2014-04-09
NC_250m_U_2014-04-09
WC_250m_Elevation_2014-04-16
WC_250m_PD_2014-04-16
WC_250m_RIX_2014-04-16
WC_250m_U_2014-04-16

Longitude and Latitude

EC 250m Elevation 2014-04-15 (geo)
EC 250m PD 2014-04-15 (geo)
EC 250m RIX 2014-04-15 (geo)
EC 250m U 2014-04-15 (geo)
NC 250m Elevation 2014-04-09 (geo)
NC 250m PD 2014-04-09 (geo)
NC 250m RIX 2014-04-09 (geo)
NC 250m U 2014-04-09 (geo)
WC 250m Elevation 2014-04-16 (geo)
WC 250m PD 2014-04-16 (geo)
WC 250m RIX 2014-04-16 (geo)
WC 250m U 2014-04-16 (geo)

Google Earth

WASA 250m elevation 2014-04-16
WASA 250m P 2014-04-16
WASA 250m RIX 2014-04-16
WASA 250m U 2014-04-16
PD = mean wind power density (W/m2)
RIX = ruggedness index
U = mean wind speed m/s


CSIR - Copyright 2010 © All Rights Reserved - Updated: June 2010
Webmaster