| METADATA |
|
| Data set name |
Wind resource maps for WASA domain, South
Africa |
| Data set date |
May 2013 |
| Data provider |
SANEDI |
| 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 |
Unprojected longitude and latitude |
| Zone number |
n/a |
| Datum |
World Geodetic System 1984 (WGS 84) |
| TECHNOLOGY |
|
| Calculation software |
Frogfoot system with WAsP engine version 10.2 |
| Wind-climatological input |
First Verified Numerical Wind Atlas for South
Africa (VNWA) |
| Elevation data input |
20-m height contours from 1:50,000 SA
topographical map sheets |
| Roughness data input |
1-km resolution GLCC data, vectorized by DTU
Wind Energy |
| Air density input |
Site air density approximation using elevation
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 http://www.wasaproject.info 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 meas-urements 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 First 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 CSIR Environmental Management Services for providing height contour data for Eastern Cape and Northern Cape. MetroGIS (Pty) Ltd. for providing height contour data for Western Cape in WAsP-compatible format. WASA Implementation team: UCT (CSAG), CSIR, SAWS, 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 and
the WASA Implementation team be liable for any damage, including any
lost profits, lost savings, or other inci-dental or consequential
damages arising out of the use or inability to use the information and
data provided in this data set, even if SANEDI and the WASA
Implementation have been advised of the possibility of such dam-age, or
for any claim by any other party. The principles, rules, exclusions and limitations provided in the Dis-claimer 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. |
