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The siting of a wind turbine using the WASP numerical model and its validation by comparison with field data
Bibliography: leaves 49-51.
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| Format: | Thesis |
| Language: | English |
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Energy Research Centre
2014
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| _version_ | 1867613266745753600 |
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| access_status_str | Open Access |
| author | Denison, Jonathan |
| author2 | Dutkiewicz, Ryszard Karol |
| author_browse | Denison, Jonathan Dutkiewicz, Ryszard Karol |
| author_facet | Dutkiewicz, Ryszard Karol Denison, Jonathan |
| author_sort | Denison, Jonathan |
| collection | Thesis |
| description | Bibliography: leaves 49-51. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/8284 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:25.185Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Energy Research Centre |
| publisherStr | Energy Research Centre |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/8284 The siting of a wind turbine using the WASP numerical model and its validation by comparison with field data Denison, Jonathan Dutkiewicz, Ryszard Karol Energy and Development Studies Bibliography: leaves 49-51. The objectives of this study were twofold The first was to locate sites where the wind is enhanced due to orographic forcing, thus having high annual average windspeeds. The WASP numerical model was used to simulate wind speeds over the Soetanysberg, a coastal hill approximately 20 km west of Cape Agulhas. The average annual wind speed was predicted to be 11.4 m/s at 50m a.g.l at this site. This is a 24% increase over the wind measured at the Cape Agulhas lighthouse for the same height. The predicted theoretical power of 2019 W/m2, was more than twice the average power that occurs at the lighthouse. The second aim was to validate the numerical model. This was achieved by measuring wind speeds, using a TALA Kite, at a number of prospective sites on the Soetanysberg and at Cape Agulhas. The wind speed values from Cape Agulhas were then used by the numerical model to make velocity predictions at the sites and these results were compared with the measured values. It was found that the numerical model performed well. Two indicators were used to compare the results; the error of predictions (m) and the correlation coefficient (r). The average error of the predictions was 7%, with a maximum error of 15.4℅, and it was found that the model tended to underestimate the wind speed when it erred. The measured velocity profile, was correlated with the predicted velocity profile and 'r' was found to range between 0.68 and 0.87 for eight of the mine sites. 2014-10-11T11:53:49Z 2014-10-11T11:53:49Z 1990 Master Thesis Masters MSc http://hdl.handle.net/11427/8284 eng application/pdf Energy Research Centre Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Energy and Development Studies Denison, Jonathan The siting of a wind turbine using the WASP numerical model and its validation by comparison with field data |
| thesis_degree_str | Master's |
| title | The siting of a wind turbine using the WASP numerical model and its validation by comparison with field data |
| title_full | The siting of a wind turbine using the WASP numerical model and its validation by comparison with field data |
| title_fullStr | The siting of a wind turbine using the WASP numerical model and its validation by comparison with field data |
| title_full_unstemmed | The siting of a wind turbine using the WASP numerical model and its validation by comparison with field data |
| title_short | The siting of a wind turbine using the WASP numerical model and its validation by comparison with field data |
| title_sort | siting of a wind turbine using the wasp numerical model and its validation by comparison with field data |
| topic | Energy and Development Studies |
| url | http://hdl.handle.net/11427/8284 |
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