Wind profile prediction in an urban canyon: a machine learning approach
Publications associées (40)
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Dataset abstract The horizontal wind velocity data from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4 has been corrected for air-flow distortion. The measurements from both the port and starboad side anemometer were ...
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Wind turbine wakes are an important source of power losses and mechanical wear within wind farms. Wake meandering is a low-frequency oscillation of the entire wind turbine wake with respect to the time-averaged centerline. It affects power losses by contri ...
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In the first part of this thesis, the comparison of two families of CORDEX suggests the improved performance of the latest version in reproducing the local climate.The results indicate increasing future trends for annual wind speeds in the north-west (+0.0 ...
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Predicting wind flow in highly complex terrain like the Alps is a challenge for all models. When physical processes need to be resolved in a spatially explicit manner, grids with high horizontal resolution of a few hundred meters are often required and dra ...
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Unmanned Aerial Vehicles (UAVs) have benefited from a tremendous increase in popularity over the past decade, which has inspired their application toward many novel and unique use cases. One of them is the use of UAVs in meteorological research, in particu ...
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At sea, wind forcing is responsible for the formation and development of surface waves and represents an important source of near-surface turbulence. Therefore, processes related to near-surface turbulence and wave breaking, such as sea spray emission and ...
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Wind energy potential in complex terrain is still poorly understood and difficult to quantify. With Switzerland’s current efforts to shift to renewable energy resources, it is now becoming even more crucial to investigate the hidden potential of wind energ ...