POSTER

In coastal areas, where wind conditions are strongly influenced by local topography and thermal stability, accurate modelling is crucial for the efficiency of wind farms. This study applies the Meso-Micro Coupling (MMC) method to a coastal wind farm and compares it with a conventional CFD model. The results demonstrate that the MMC method has significant advantages in modelling wind distribution and thermal stability. For a full understanding of the methodology and detailed results, please complete the form below to download the poster.

Summary

The consistent and strong sea breezes that benefit coastal wind farms ensure high energy yields. Their strategic location—close to populated areas and situated in large open spaces—makes them an ideal choice for wind energy projects.

By combining regional climate conditions from mesoscale models with terrain topography through meso-micro coupling (MMC) simulations, wind resource estimations in coastal areas can be significantly improved, especially in the absence of meteorological mast data. This approach also reduces the uncertainties associated with relying on a single reference point.

More about the authors

Ru LI
PhD, Senior Research Engineer
Meteodyn

Dr LI is a Senior Research Engineer and CFD Expert at Meteodyn since 2014. She works in the research area of thermal stability layer simulation, advanced wind modeling and uncertainty of remote sensing devices.

Minh-Thang DO
Technical Manager of Renewable Energy
Meteodyn North America

Dr. DO, is Technical Manager and Business Engineer at Meteodyn North America. He has been with the company since 2016 and moved to the US in 2024 to expand the company's presence. He specialises in wind farm performance analysis and power forcasting.