Abstract
Understanding the details of micro-scale wind fields is important in the development of wind energy. Research has proven that coupling Numerical Weather Prediction (NWP) and Computational Fluid Dynamics (CFD) models is a better approach for micro-scale wind field simulation. The main purpose of this work is to improve the NWP/CFD model performance in two parts: (i) developing a new coupling method that is more suitable for complex terrain between the NWP and CFD models, and (ii) applying a data assimilation system in the CFD model. Regarding part (i), in order to solve the problem of great topographical difference at the domain boundaries between the two models, Cressman interpolation is utilized to impose the NWP model wind on the CFD model boundaries. In part (ii), an assimilation method, nudging, to apply assimilation of observations into the CFD model is explored. Based on the Cressman interpolation coupling method, a preliminary implementation of data assimilation is performed. The results show that the NWP/CFD model with the improved coupling method may capture the details of micro-scale wind fields more accurately. Using data assimilation, the NWP/CFD model performance may be further improved by cooperating observation data.
Highlights
In order to achieve sustainable energy development, there is a consensus that the development and utilization of renewable energy is required
The Numerical Weather Prediction (NWP)/Computational Fluid Dynamics (CFD) model performance may be further improved by cooperating observation data
Understanding the details of micro-scale wind fields within the atmospheric boundary layer is very important for siting wind power plants in wind energy industries
Summary
In order to achieve sustainable energy development, there is a consensus that the development and utilization of renewable energy is required. Wind energy is an important part of the development of renewable energy [1]. Understanding the details of micro-scale wind fields within the atmospheric boundary layer is very important for siting wind power plants in wind energy industries. Numerical Weather Prediction (NWP) or mesoscale models can simulate the wind flow characteristics at horizontal resolutions of several kilometers but are not able to resolve the atmospheric flow caused by topographic features at fine scales (tens to hundreds of meters). Dynamics (CFD) model has proven effective in simulating details of wind fields at smaller scales [2,3,4,5,6], but it needs an accurate specification of the boundary conditions. Coupling NWP and CFD models is a better method for resolving micro-scale wind fields
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