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Downscaling wind energy resource from mesoscale to CFD model and data assimilating field measurements into CFD model

  • Venkatesh Duraisamy Jothiprakasam
  • , Eric Dupont
  • , Bertrand Carissimo
  • Université Paris Est, ENPC LIGM, IMAGINE

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The main goal of this research work is to use operational Numerical Weather Prediction (NWP) model data as input to the Computational Fluid Dynamics (CFD) and assimilate the field measurements into the CFD solutions. To address the problem of high spatial variation of the topography on the domain lateral boundaries between NWP and CFD domain boundaries, 3 methods - Translation, extrapolation and Cressman interpolation are tested to impose the NWP model data on the CFD domain lateral boundaries. Newtonian relaxation data assimilation technique is used to incorporate the field measurement data into the CFD simulations. These techniques are studied in a complex site located in southern France. Comparison of wind profiles between the CFD simulation, measurements and CFD simulation with data assimilation are discussed. This combination of state-of-the-art techniques in NWP, CFD, and field data assimilation will provide the basis of a more accurate wind resource assessment method.

Original languageEnglish
Title of host publicationEuropean Wind Energy Conference and Exhibition, EWEC 2013
PublisherEuropean Wind Energy Association
Pages1326-1335
Number of pages10
ISBN (Print)9781632663146
Publication statusPublished - 1 Jan 2013
EventEuropean Wind Energy Conference and Exhibition, EWEC 2013 - Vienna, Austria
Duration: 4 Feb 20137 Feb 2013

Publication series

NameEuropean Wind Energy Conference and Exhibition, EWEC 2013
Volume2

Conference

ConferenceEuropean Wind Energy Conference and Exhibition, EWEC 2013
Country/TerritoryAustria
CityVienna
Period4/02/137/02/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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