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...

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Main Authors: Evangelia-Maria Giannakopoulou, Regis Nhili
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2014/319819
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spelling doaj-bf0e4b244b71451bae57b52c2a43d1242020-11-25T00:46:10ZengHindawi LimitedAdvances 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
collection DOAJ
language English
format Article
sources DOAJ
author Evangelia-Maria Giannakopoulou
Regis Nhili
spellingShingle Evangelia-Maria Giannakopoulou
Regis Nhili
WRF Model Methodology for Offshore Wind Energy Applications
Advances in Meteorology
author_facet Evangelia-Maria Giannakopoulou
Regis Nhili
author_sort Evangelia-Maria Giannakopoulou
title WRF Model Methodology for Offshore Wind Energy Applications
title_short 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_sort wrf model methodology for offshore wind energy applications
publisher Hindawi Limited
series Advances in Meteorology
issn 1687-9309
1687-9317
publishDate 2014-01-01
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.
url http://dx.doi.org/10.1155/2014/319819
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AT regisnhili wrfmodelmethodologyforoffshorewindenergyapplications
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