Abstract
The decrease of fossil energy sources leads to an increased use of renewable energy sources like wind energy. The design of the mechanical components of a wind turbine is considerably governed by their fatigue behaviour over the product life cycle. Therefore, reliable estimations of the interface loads on the components, by means of appropriate multibody models, are necessary. While simplified wind turbine design codes, such as Flex5 or GH Bladed, have been mainly used for previous wind turbine developments, general purpose multibody simulation environments like MSC.Adams, SIMPACK, or alaska/Wind in combination with specific aerodynamic simulation packages are now applied. Here, the components of a wind turbine, such as the drive train with gear pair contacts, a flexible main frame, or a lattice tower, can be modelled in much more detail and specific manner compared to previous simulation models. For example, the geometric nonlinear behaviour of the blades can be taken into account which is essential for the simulation of long slim blade designs. In the present contribution, different multibody packages for wind turbine modelling are compared on the basis of simulation models of an existing wind turbine. Beside of the special wind turbine design code Flex5, developed at the Technical University of Denmark Copenhagen (DTU), the commercial multibody simulation packages MSC.Adams and SIMPACK are used. For the validation of the simulations, extensive measurements on a wind turbine prototype have been evaluated comprising measurement data over a period of more than 1.5 years. To compare measurements and simulations, statistical and dynamical evaluations of the results have been done.
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The authors would like to thank the German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety.
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Zierath, J., Rachholz, R., Woernle, C. (2014). Comparison and Field Test Validation of Various Multibody Codes for Wind Turbine Modelling. In: Terze, Z. (eds) Multibody Dynamics. Computational Methods in Applied Sciences, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-319-07260-9_13
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DOI: https://doi.org/10.1007/978-3-319-07260-9_13
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