As the ASIRT seed grant draws to a close, we have successfully demonstrated that it is possible to use a single mobile sensor to estimate the airflow within a wind farm. The principle behind the proposed method is to identify the areas of the flow field that contain the highest density of information and compare the measurements in those locations with the current model output. This听comparison is then used to iteratively update the model and drive the error to zero.听
The proposed method relies on a turbine wake model supplied by听, which we used to identify the areas with the highest information density and plan a trajectory for the mobile sensor. The wind filed estimate is then updated in real-time as the mobile sensor collects data and compares the model predictions with the actual data.
This proof of concept is the first step in the development of听Autonomous Mobile Sensors for Wind Field Estimation.
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