2016
DOI: 10.1002/we.1992
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Application of simulated lidar scanning patterns to constrained Gaussian turbulence fields for load validation

Abstract: We demonstrate a method for incorporating wind velocity measurements from multiple-point scanning lidars into threedimensional wind turbulence time series serving as input to wind turbine load simulations. Simulated lidar scanning patterns are implemented by imposing constraints on randomly generated Gaussian turbulence fields in compliance with the Mann model for neutral stability. The expected efficiency of various scanning patterns is estimated by means of the explained variance associated with the constrai… Show more

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Cited by 29 publications
(38 citation statements)
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“…Any serious gaps in the data will raise the uncertainty and therefore the risk associated with an oncoming gust, which can be included in the control strategy. In addition, since the method can handle any set of scattered velocity measurements, it should be compatible with any scanning pattern the lidar might have (e.g., see [26]). …”
Section: Discussionmentioning
confidence: 99%
“…Any serious gaps in the data will raise the uncertainty and therefore the risk associated with an oncoming gust, which can be included in the control strategy. In addition, since the method can handle any set of scattered velocity measurements, it should be compatible with any scanning pattern the lidar might have (e.g., see [26]). …”
Section: Discussionmentioning
confidence: 99%
“…Thus, if we plan to use lidar measurements as inputs for load simulations, we need to preprocess the lidar wind speed observations. This process is associated with some uncertainties and difficulties as discussed in Dimitrov and Natarajan . For the case of a nacelle‐mounted, forward‐looking lidar, the main aspects to be considered are as follows: Effect of volume averaging: Due to the significant measurement volume, the velocity estimate represents the weighted sum of a distribution of velocity measurements along the line‐of‐sight (LOS) instead of a single measurement.…”
Section: Problem Formulationmentioning
confidence: 99%
“…One of such is power-performance measurements; FL nacelle lidars decrease the statistical uncertainty of the measured power curve when compared to that based on mast measurements . The statistical uncertainty associated with load validation can potentially also be reduced (Dimitrov and Natarajan, 2016). Another important use of FL nacelle lidars is turbine control; they have the potential to reduce loads and increase energy capture Schlipf et al, 2015).…”
Section: Introductionmentioning
confidence: 99%