Publications on loads modelling
Mittelmeier et al. Wind farm performance monitoring with advanced wake models. EWEA Offshore 2013
Summary Wind farm underperformance can lead to significant losses in revenues. Based on knowledge of the environmental conditions the aim of the presented method is to predict the power output of a wind farm in real time. Deviations between the calculated and the measured power output are an indication for underperformance. To calculate the expected wind farm power output, different wake models were tested and benchmarked against measurements at the offshore wind farm Alpha Ventus. Look-up tables are used to speed up computational expensive models. A sensitivity analysis for different model settings at certain environmental conditions has been worked out. To estimate the confidence of detected underperformance a detailed discussion of uncertainties is given. Finally a demonstration of the method’s ability to detect degradation is given.
Download Mittelmeier et al. (2013).
Steudel. Load calculation in wind farm clusters. First Joint EERA-DTOC/ClusterDesign Workshop, 2013
Summary In order to improve the wake modeling, computational fluid dynamics is combined with turbine models. Apart from the wind speed, the horizontal and vertical wind shear, as well as turbulence are taken into account. The actual combination of models is found to have a large impact on the blade loads, but nearly none on other loads and the power. A fast estimation method for a whole wind farm is under development, and will be validated through measurements in a full-scale offshore wind farm.
Download Steudel (2013).