Pitfalls in the current validation practices Sample Clauses

Pitfalls in the current validation practices. The data from a load measurement campaign can be used for validation of the design (in case of a prototype) as well as for model tuning and verification. In these practices there are issues that can be identified as pitfalls. Uncertainty of the load measurements The majority of load measurements on the wind turbine are performed by measurement of the strain exhibited on the component, which is then transformed to the applied load. In general the uncertainty of the load measurements is of the order of 5%. The uncertainty of the correlation of the load with the local strain (expressed either as cross talk, sensor misalignment, inappropriate sensor location etc) is the main contributor. This uncertainty does not only depend on the equipment but also on the procedure of conversion of the strain to load. Examples of the uncertainties involved in these conversions for the load measurement on the wind turbine components can be found in [D. J. Lekou, X. Xxxxxxxx, WT Load Measurement uncertainty: Load-Based versus Analytical Strain-Gauge Calibration Method, Journal of Solar Energy Engineering, Vol. 131/011005, 2009]. Limited amount of experimental data Several reasons (cost, time shortage, wind regime etc), often keep the amount of experimental data limited to the minimum sets prescribed by the standards. A larger data base, especially towards higher wind speeds and turbulence intensities facilitates the design validation. Limited description of the wind inflow Until recently, the wind inflow description for the load measurements was coming from a few cup anemometers and vanes. The use of 3D sonic anemometers enables the identification of parameters such as wind inclination and turbulence components. The existence of standardized procedures for analyzing data against load driving parameters such as shear, turbulence components or atmospheric condition would enhance the value of the data.
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