Validation of Improved Sampling Concepts for Offshore Wind Turbine Fatigue Design

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dc.identifier.uri http://dx.doi.org/10.15488/4720
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/4762
dc.contributor.author Hübler, Clemens ger
dc.contributor.author Weijtjens, Wout ger
dc.contributor.author Gebhardt, Cristian G. ger
dc.contributor.author Rolfes, Raimund ger
dc.contributor.author Devriendt, Christof ger
dc.date.accessioned 2019-04-18T08:54:57Z
dc.date.available 2019-04-18T08:54:57Z
dc.date.issued 2019
dc.identifier.citation Hübler, C.; Weijtjens, W.; Gebhardt, C. G.; Rolfes, R.; Devriendt, C.: Validation of Improved Sampling Concepts for Offshore Wind Turbine Fatigue Design. In: Energies 12 (2019), Nr. 4, 603. DOI: https://doi.org/10.3390/en12040603 ger
dc.description.abstract Fatigue damage is a design-driving phenomenon for substructures of offshore wind turbines. However, fatigue design based on numerical simulations is quite uncertain. One main reason for this uncertainty is scattering offshore conditions combined with a limited number of simulations (samples). According to current standards, environmental conditions are sampled using a deterministic grid of the most important environmental conditions (e.g., wind speed and direction, significant wave height, and wave period). Recently, there has been some effort to reduce the inherent uncertainty of damage calculations due to limited data by applying other sampling concepts. Still, the investigation of this uncertainty and of methods to reduce it is a subject of ongoing research. In this work, two improved sampling concepts—previously proposed by the authors and reducing the uncertainty due to limited sampling—are validated. The use of strain measurement data enables a realistic estimate of the inherent uncertainty due to limited samples, as numerical effects, etc., are excluded. Furthermore, an extensive data set of three years of data of two turbines of the Belgian wind farm Northwind is available. It is demonstrated that two previously developed sampling methods are generally valid. For a broad range of model types (i.e., input dimensions as well as degrees of non-linearity), they outperform standard sampling concepts such as deterministic grid sampling or Monte Carlo sampling. Hence, they can reduce the uncertainty while keeping the sampling effort constant, or vice versa. ger
dc.language.iso eng ger
dc.publisher Basel : MDPI
dc.relation.ispartofseries Energies 12 (2019), Nr. 4 ger
dc.rights CC BY 4.0 ger
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject offshore wind energy eng
dc.subject fatigue eng
dc.subject uncertainty eng
dc.subject monitoring eng
dc.subject strain measurements eng
dc.subject sampling concepts eng
dc.subject.ddc 620 | Ingenieurwissenschaften und Maschinenbau ger
dc.subject.ddc 670 | Industrielle und handwerkliche Fertigung ger
dc.subject.ddc 600 | Technik ger
dc.title Validation of Improved Sampling Concepts for Offshore Wind Turbine Fatigue Design ger
dc.type article ger
dc.type Text ger
dc.relation.essn 1996-1073
dc.relation.doi 10.3390/en12040603
dc.description.version publishedVersion ger
tib.accessRights frei zug�nglich


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