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Wednesday, 28 September 2016
14:30 - 16:00 Meso-scale modelling and the model chain
Resource assessment  
Onshore      Offshore    

Room: Hall E

Numerical weather prediction models are increasingly being used for the estimation of wind resources over large regions. The large-scale wind resource maps resulting from such models are useful to identify favourable regions for wind energy deployment in the prospection phase. Often reanalysis data is used as the input for these models and one these datasets, MERRA from NASA, has recently been replaced by MERRA2. We will discuss the consequences of this change along with using micro-scale models to downscale. Speakers will also address the important subject of modelling storms using a coupled numerical weather model a spectral wave model.

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Learning objectives

  • An understanding of how to model winds and waves during a major storm;
  • New techniques for using a microscale model to downscale from Weather Research and Forecasting (WRF);
  • Improved guidelines for numerical modelling, turbulence analysis and wind engineering applications;
  • Attendees will be introduced to MERRA2, a new Reanalysis database that will replace MERRA products;
  • A map of changes in MERRA2 accuracy and how it affects representation of long-term wind variability will be provided for all target regions of the wind power industry.
Mike Anderson, Group Technical Director, RES Ltd., United Kingdom


Rolando Soler-Bientz Loughborough University, United Kingdom
Rolando Soler-Bientz (1) F Simon Watson (1)
(1) Loughborough, Loughborough, United Kingdom

Presenter's biography

Biographies are supplied directly by presenters at WindEurope Summit 2016 and are published here unedited

Rolando Soler-Bientz is a Physicist with a PhD in Renewable Energies specialized in Resource Assessment. The focus of his research is on the study of the UK offshore wind resource using data from a number of sources including: data from offshore masts, surface data from onshore/offshore/islands stations, satellite measurements, radiosonde data, wind profilers measurements and reanalysis data. He has been working on the prediction of the wind resource in near offshore regions taking into account land/sea effects and thermal stratification.


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