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Modelling Uncertainty in t-RANS Simulations of Thermally Stratified Forest Canopy Flows for Wind Energy Studies

Author

Listed:
  • Cian J. Desmond

    (MaREI, University College Cork, P43 C573 Cork, Ireland)

  • Simon Watson

    (DUWIND, Delft University of Technology, 2629 HS Delft, The Netherlands)

  • Christiane Montavon

    (Energy, DNV-GL, Bristol BS2 0PS, UK)

  • Jimmy Murphy

    (MaREI, University College Cork, P43 C573 Cork, Ireland)

Abstract

The flow over densely forested terrain under neutral and non-neutral conditions is considered using commercially available computational fluid dynamics (CFD) software. Results are validated against data from a site in Northeastern France. It is shown that the effects of both neutral and stable atmospheric stratifications can be modelled numerically using state of the art methodologies whilst unstable stratifications will require further consideration. The sensitivity of the numerical model to parameters such as canopy height and canopy density is assessed and it is shown that atmospheric stability is the prevailing source of modelling uncertainty for the study.

Suggested Citation

  • Cian J. Desmond & Simon Watson & Christiane Montavon & Jimmy Murphy, 2018. "Modelling Uncertainty in t-RANS Simulations of Thermally Stratified Forest Canopy Flows for Wind Energy Studies," Energies, MDPI, vol. 11(7), pages 1-25, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1703-:d:155501
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    Cited by:

    1. Taiwo Adedipe & Ashvinkumar Chaudhari & Antti Hellsten & Tuomo Kauranne & Heikki Haario, 2022. "Numerical Investigation on the Effects of Forest Heterogeneity on Wind-Turbine Wake," Energies, MDPI, vol. 15(5), pages 1-27, March.

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