Come meet the poster presenters to ask them questions and discuss their work
Check the programme for our poster viewing moments. For more details on each poster, click on the poster titles to read the abstract. On Wednesday, 6 April at 15:30-16:15, join us on Level 3 of the Conference area for the Poster Awards!
PO129: Turbulence Intensity: Floating LiDAR measurements assimilation to traditional offshore met mast’s anemometry through an adjustment algorithm
Adrià Miquel, Lead Data Scientist, Eolos Floating Lidar Solutions S.L.
In this study a correction of the measured TI from floating lidars is applied for wind resource characterization. Two EOLOS FLS200, mounting a ZX300M continuous wave lidar, are currently measuring wind conditions in the New York bight as part of a wind resource assessment campaign by the New York State Energy Research and Development Authority (NYSERDA). Many argue that LiDAR-measured TI and cup-measured TI are not the same physical phenomenon since different spatial and temporal approaches between the two type of sensors lead to a disparity in the measurement itself. EOLOS seeks to tackle this issue with an adjustment algorithm whose aim is to bring the LiDAR-measured TI to the value given by traditional anemometry. The LiDAR-measured and cup-measured TI behaviors diverge in a fashion one could argue comparable to a stochastic process. Hence, any type of correction should be tackled in a statistical fashion relying on different techniques, such as the bin-wise aggregation analysis with respect to several environmental parameters, rather than on the specific measurement correction. As such, this is the approach adopted by the algorithm presented hereinafter.