Wind resource assessment in complex terrain using a one-way coupled meso- and microscale model approach

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Mesoscale models have become invaluable for resource assessment in wind energy applications. They serve as a cheap and efficient supplement meteorological masts for site assessment. However mesoscale models have been developed for atmospheric scales of a few kilometers or more and are unable to resolve local effects of orography and surface roughness. In complex terrain these effects can dominate the local wind climate.
Bridging the gap between the mesoscale and the microscale in atmospheric modeling is an important research topic that can allow for more accurate wind resource assessment in complex terrain. Several attempts of coupling meso- and microscale models have been made so far, e.g. Zajaczkiwski et al., 2011; Castro et al., 2014; Rodrigues et al., 2015.

Microscale models based on the Reynolds-Averaged Navier-Stokes (RANS) equations are attractive for resource assessment in complex terrain because of the reduced computational cost – compared to Large Eddy Simulation (LES).
During the last few decades advances have been made to enable Unsteady-RANS microscale models to simulate atmospheric boundary layer (ABL) flow, including the addition of a Coriolis term in the momentum equations and dry-atmosphere temperature equations to model stability effects (e.g. Castro et al., 2003; Koblitz et al., 2015). These advances combined with the development of high resolution orography and landuse maps helps the progress toward improved
multiscale modeling.

In this study a model-chain methodology consisting of the Weather Research and Forecasting (WRF) model coupled with an usteady-RANS microscale model (Ellipsys3D) is developed. The emphasis of the study is the coupling process, and how to achieve the best possible initial and boundary conditions for the microscale model. The model-chain will be validated using existing and ongoing measurement campaigns from sites relevant to wind energy with wind climates influenced by both strong local effects from orography and landuse, and by mesoscale effects.
Original languageEnglish
Publication date2016
Number of pages1
Publication statusPublished - 2016
Event17th Annual WRF Users' Workshop, 2016 - NCAR's Center Green Campus, Boulder, United States
Duration: 27 Jun 20161 Jul 2016
Conference number: 17


Conference17th Annual WRF Users' Workshop, 2016
LocationNCAR's Center Green Campus
CountryUnited States

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