WRF Model Methodology for Offshore Wind Energy Applications
Among the parameters that must be considered for an offshore wind farm development, the stability conditions of the marine atmospheric boundary layer (MABL) are of significant importance. Atmospheric stability is a vital parameter in wind resource assessment (WRA) due to its direct relation to wind...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2014/319819 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850177345407680512 |
|---|---|
| author | Evangelia-Maria Giannakopoulou Regis Nhili |
| author_facet | Evangelia-Maria Giannakopoulou Regis Nhili |
| author_sort | Evangelia-Maria Giannakopoulou |
| collection | DOAJ |
| description | Among the parameters that must be considered for an offshore wind farm development, the stability conditions of the marine atmospheric boundary layer (MABL) are of significant importance. Atmospheric stability is a vital parameter in wind resource assessment (WRA) due to its direct relation to wind and turbulence profiles. A better understanding of the stability conditions occurring offshore and of the interaction between MABL and wind turbines is needed. Accurate simulations of the offshore wind and stability conditions using mesoscale modelling techniques can lead to a more precise WRA.
However, the use of any mesoscale model for wind energy applications requires a proper validation process to understand the accuracy and limitations of the model. For this validation process, the weather research and forecasting (WRF) model has been applied over the North Sea during March 2005. The sensitivity of the WRF model performance to the use of different horizontal resolutions, input datasets, PBL parameterisations, and nesting options was examined. Comparison of the model results with other modelling studies and with high quality observations recorded at the offshore measurement platform FINO1 showed that the ERA-Interim reanalysis data in combination with the 2.5-level MYNN PBL scheme satisfactorily simulate the MABL over the North Sea. |
| format | Article |
| id | doaj-art-bf0e4b244b71451bae57b52c2a43d124 |
| institution | OA Journals |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-bf0e4b244b71451bae57b52c2a43d1242025-08-20T02:18:59ZengWileyAdvances in Meteorology1687-93091687-93172014-01-01201410.1155/2014/319819319819WRF Model Methodology for Offshore Wind Energy ApplicationsEvangelia-Maria Giannakopoulou0Regis Nhili1EDF Energy R&D UK Centre, 52 Grosvenor Gardens, London SW1W 0AU, UKEDF Energy R&D UK Centre, 52 Grosvenor Gardens, London SW1W 0AU, UKAmong the parameters that must be considered for an offshore wind farm development, the stability conditions of the marine atmospheric boundary layer (MABL) are of significant importance. Atmospheric stability is a vital parameter in wind resource assessment (WRA) due to its direct relation to wind and turbulence profiles. A better understanding of the stability conditions occurring offshore and of the interaction between MABL and wind turbines is needed. Accurate simulations of the offshore wind and stability conditions using mesoscale modelling techniques can lead to a more precise WRA. However, the use of any mesoscale model for wind energy applications requires a proper validation process to understand the accuracy and limitations of the model. For this validation process, the weather research and forecasting (WRF) model has been applied over the North Sea during March 2005. The sensitivity of the WRF model performance to the use of different horizontal resolutions, input datasets, PBL parameterisations, and nesting options was examined. Comparison of the model results with other modelling studies and with high quality observations recorded at the offshore measurement platform FINO1 showed that the ERA-Interim reanalysis data in combination with the 2.5-level MYNN PBL scheme satisfactorily simulate the MABL over the North Sea.http://dx.doi.org/10.1155/2014/319819 |
| spellingShingle | Evangelia-Maria Giannakopoulou Regis Nhili WRF Model Methodology for Offshore Wind Energy Applications Advances in Meteorology |
| title | WRF Model Methodology for Offshore Wind Energy Applications |
| title_full | WRF Model Methodology for Offshore Wind Energy Applications |
| title_fullStr | WRF Model Methodology for Offshore Wind Energy Applications |
| title_full_unstemmed | WRF Model Methodology for Offshore Wind Energy Applications |
| title_short | WRF Model Methodology for Offshore Wind Energy Applications |
| title_sort | wrf model methodology for offshore wind energy applications |
| url | http://dx.doi.org/10.1155/2014/319819 |
| work_keys_str_mv | AT evangeliamariagiannakopoulou wrfmodelmethodologyforoffshorewindenergyapplications AT regisnhili wrfmodelmethodologyforoffshorewindenergyapplications |