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 2020-2022 Pawe%c5%82 Kuna Permission is hereby granted%2c free of charge%2c to any person obtaining a copy of this software and associated documentation files (the 'Software')%2c to deal in the Software without restriction%2c including without limitation the rights to use%2c copy%2c modify%2c merge%2c publish%2c distribute%2c sublicense%2c and/or sell copies of the Software%2c and to permit persons to whom the Software is furnished to do so%2c subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED 'AS IS'%2c WITHOUT WARRANTY OF ANY KIND%2c EXPRESS OR IMPLIED%2c INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY%2c FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM%2c DAMAGES OR OTHER LIABILITY%2c WHETHER IN AN ACTION OF CONTRACT%2c TORT OR OTHERWISE%2c ARISING FROM%2c OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. %3c/schema:copyrightNotice%3e%3c/rdf:Description%3e%3c/rdf:RDF%3e%3c/metadata%3e%3cpath stroke='none' d='M0 0h24v24H0z' fill='none'/%3e%3cpath d='M19 9l-2 9a2 2.5 0 0 1 -2 2h-6a2 2.5 0 0 1 -2 -2l-2 -9z'/%3e%3cpath d='M7 9a5 5 0 0 1 10 0'/%3e%3c/svg%3e)
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BeFORECAST is funded by the Energy Transition Funds of the Federal Public Service Economy of the Belgian Federal Government
The project is coordinated by the von Karman Institute for Fluid Dynamics and will benefit from a strong collaboration between the consortium members consisting of VKI, Vrije Universiteit Brussel, KU Leuven, 3E, SABCA, and the Royal Meteorological Institute of Belgium (KMI-IRM-RMI).
The BeFORECAST project investigates the forecasting of offshore wind power in the Belgian North Sea including the effect of wind turbine and wind farm wakes on power extraction. A specific focus is placed on advanced data handling and the assimilation of modern lidar sensors mounted on wind turbines and drones.
The ambition of BeFORECAST is to improve weather models for offshore wind power forecasting, allowing better management of the Belgian electricity grid and wind farms. This is achieved by including wind-farm wake effects, not yet available in current models, and assimilating measurements in now-and forecasting tools using machine learning on data from offshore SCADA, RADARS, SATELLITES, LIDARS, and innovative “fly-for-weather” drones.
Weather alerts are made available in real-time to wind farm and grid operators, as a tangible outcome of the project benefiting multiple stakeholders.
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