Abstract
As part of the “Wind Atlas for South Africa” project, microscale modelling has been carried out for 10 meteorological stations in Northern, Western and Eastern Cape provinces.
Wind speed and direction data from the ten 60-m masts have been analysed using the Wind Atlas Analysis and Application Program (WAsP 12). The wind-climatological inputs are the observed wind climates derived from the WAsP Climate Analyst. Topographical inputs are elevation maps constructed from SRTM 3 (NASA version 3) data and roughness length maps constructed from ESACCI 2015 (version 2.0.7) land cover data. Summaries are given of the data measured at the 10 masts, for 3- to 9-y full-year periods in the reference period November 2010 to October 2019.
The main result of the microscale modelling is observational wind atlas data sets, which can be used for validation of the mesoscale modelling. In addition, the microscale modelling itself has been validated by comparing observed and modelled vertical wind profiles at the 10 sites. WAsP generally works well, but modelling of the wind profiles can be improved by adjusting the roughness translation, by using project-specific wind atlas heights, and by changing the heat flux parameters of WAsP.
Wind speed and direction data from the ten 60-m masts have been analysed using the Wind Atlas Analysis and Application Program (WAsP 12). The wind-climatological inputs are the observed wind climates derived from the WAsP Climate Analyst. Topographical inputs are elevation maps constructed from SRTM 3 (NASA version 3) data and roughness length maps constructed from ESACCI 2015 (version 2.0.7) land cover data. Summaries are given of the data measured at the 10 masts, for 3- to 9-y full-year periods in the reference period November 2010 to October 2019.
The main result of the microscale modelling is observational wind atlas data sets, which can be used for validation of the mesoscale modelling. In addition, the microscale modelling itself has been validated by comparing observed and modelled vertical wind profiles at the 10 sites. WAsP generally works well, but modelling of the wind profiles can be improved by adjusting the roughness translation, by using project-specific wind atlas heights, and by changing the heat flux parameters of WAsP.
| Original language | English |
|---|
| Place of Publication | Roskilde, Denmark |
|---|---|
| Publisher | DTU Wind Energy |
| Number of pages | 63 |
| ISBN (Electronic) | 978-87-93549-70-8 |
| Publication status | Published - 2019 |
| Series | DTU Wind Energy E |
|---|---|
| Number | 0202 |