In the recent year, the large wind farms on complex terrains are growing fast. The simulation of large wind farms on complex terrains becomes a great challenge. Considering the orography and roughness, the micro-scale wind farm simulation characterizes the local wind, via Reynolds-Averaged-Navier-Stokes equation and the turbulence model. The wind climate condition at the large wind farms, the essential thermal stability effect, was rarely considered but now draws more and more attention.
A meso-micro coupling method with volumetric forcing is developed in Meteodyn WT.
The statistic wind profiles from meso-scale model are used not only as the initial and boundary conditions but also as forces in the computational domain to maintain the statistic meso-scale wind profiles in meso zone. In Meteodyn's mesoscale-microscale coupling method, the Monin-Obukhov length is obtained from the meso-scale data and is used to decide the choice of thermal stability classes in Meteodyn WT. The thermal stability classes range from the unstable to stable conditions. This stability classification is based on Monin-Obukhov Similarity Theory (MOST), in which the turbulent length scale LT, which is used to calculate the turbulence viscosity, depends on the Monin-Obukhov length.
A large coastal area of 120km at Rangewadi in the western part of India is studied. The site displays an altitude of 1034m above mean sea level. The dominant winds are the west wind blowing from the sea towards the land and the east wind blowing from the land towards the sea. The thermal effects of breezes on the coast are frequent. Three meteorological stations and a measurement mast were chosen to analyze wind measurements. The results show that the mesoscale-microscale coupling method improves the wind field. The wind speed ratios between the meteorological station and the mast with the meso-micro coupling method performs better than the microscale or the mesoscale modellings.
Ru received her PhD in Mechanical Engineering of Fluids and Energetics from the University of Marne-la-Vallée, France in 2012, and has been 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.
A Ph.D. in applied mathematics since 2004, Eric has more than 17 years of experience in mesoscale meteorology, weather forecasting, climate change, and wind. He is Meteodyn's Director of Research, Innovation, Service and Expertise and Head of the Wind, Meteorology and Climate Division, as well as the Wind Safety Division.