Error Estimation and Adaptive Model Reduction Applied to Offshore Wind Turbine Modeling

Recently developed error estimation methods provide a powerful tool for the efficient creation of componentwise reduced models. Error estimation methods consist in estimating the contribution of each component to the reduction error of the assembled system, without evaluation of the full solution. This allows applying component model reduction in an adaptive manner, meaning that component models are refined based on their error contribution. By doing so, one can obtain optimal reduced models of the assembled structure in terms of accuracy with respect to model size. In this paper these methods are applied to the modeling of an offshore wind turbine.