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Wind Resource Forecasting Error in Flat and Complex Terrains
Published in Jacqueline A. Stagner, David S-K. Ting, Green Energy and Infrastructure, 2020
George Xydis, Evanthia A. Nanaki
The study, in general, includes the following steps: Collection and analysis of wind dataCreate a wind flow model using one of the know wind simulation tools (WAsP, WindFarm, WindSim, WindPRO, Meteodyn WT, ZephyCFD, openWind)Create a wind map of the wider areaPredicting wind speed at each wind turbine location and comparing it to the actual wind speed as recorded by the Supervisory control and data acquisition (SCADA) wind turbine system.
Scaling wind fields to estimate extreme wave heights in mountainous lakes
Published in Journal of Applied Water Engineering and Research, 2019
Most simulations generate a wind field using boundary forcing. Therefore, a wind field matching the expected extreme conditions at the station can be generated using an iterative process. Such wind fields are generated by atmospheric models such as COSMO (Doms et al. 2011, 2015) or HARMONIE (Baas 2014). The numerical model used for this study – WINDSIM (WINDSIM 2016) – is based on a 3D Reynolds Averaged Navier Stokes (RANS) solver. The numerical generation of a wind field for pre-specified conditions is time- and CPU-consuming, which is further amplified by the need for an iterative process to obtain the correct wind intensity at the locations of the weather stations used to extrapolate the wind field. A faster but perhaps less accurate approach is explored in this paper. It is based on generating a reference wind field for an entire lake and then extrapolating it to match the required wind speed at a station.
Numerical investigations of the dynamic response of a floating bridge under environmental loadings
Published in Ships and Offshore Structures, 2018
Yanyan Sha, Jørgen Amdahl, Aleksander Aalberg, Zhaolong Yu
The dynamic wind load is based on a wind field established by means of the program WindSim. The wind field is then converted into three force components for each element: lift, drag and moment where the lift force and the drag force are perpendicular and parallel to the wind direction, respectively. The moment rotates around the axial axis of the elements. The interaction between the wind and the structure is defined by the force coefficients. For example, the drag force component can be calculated bywhere Fd is the drag force and CD is the drag coefficient. is the relative velocity of the structure and wind field and d is the diameter of the component. Both the lift coefficient CL and moment coefficient CM are defined in a similar manner.
A surrogate-assisted evolutionary algorithm with an adaptive sample selection strategy for wind farm layout optimization
Published in International Journal of Green Energy, 2023
Xuemei Li, Mingyang Liu, Shaojun Li
To improve power generation, different wind farm layouts need to be verified and evaluated using CFD models, the real power generation for different wind farm layouts is completed by Windsim software. Windsim applies CFD technology to optimize the placement of wind turbines to make the design of wind farms more profitable. Considering its large calculation costs, the CGE-LE algorithm is used to optimize this wind farm, and the optimization goal is to maximize the annual net power generation.