TY - JOUR

T1 - Development of a comprehensive database of scattering environmental conditions and simulation constraints for offshore wind turbines

AU - Hübler, Clemens

AU - Guillermo Gebhardt, Cristian

AU - Rolfes, Raimund

N1 - Funding information: The publication of this article was funded by the open-access fund of Leibniz Universität Hannover. Acknowledgements. We gratefully acknowledge the financial support of the Lower Saxony Ministry of Science and Culture (research project VENTUS EFFICIENS, FKZ ZN3024) and the European Commission (research project IRPWIND, funded from the European Union’s Seventh Framework Programme for research, technological development, and demonstration under grant agreement number 609795) that enabled this work. This work was supported by the compute cluster which is funded by Leibniz Universität Hannover, the Lower Saxony Ministry of Science and Culture (MWK), and the German Research Foundation (DFG).

PY - 2017/10/26

Y1 - 2017/10/26

N2 - For the design and optimisation of offshore wind turbines, the knowledge of realistic environmental conditions and utilisation of well-founded simulation constraints is very important, as both influence the structural behaviour and power output in numerical simulations. However, real high-quality data, especially for research purposes, are scarcely available. This is why, in this work, a comprehensive database of 13 environmental conditions at wind turbine locations in the North and Baltic Sea is derived using data of the FINO research platforms. For simulation constraints, like the simulation length and the time of initial simulation transients, well-founded recommendations in the literature are also rare. Nevertheless, it is known that the choice of simulation lengths and times of initial transients fundamentally affects the quality and computing time of simulations. For this reason, studies of convergence for both parameters are conducted to determine adequate values depending on the type of substructure, the wind speed, and the considered loading (fatigue or ultimate). As the main purpose of both the database and the simulation constraints is to compromise realistic data for probabilistic design approaches and to serve as a guidance for further studies in order to enable more realistic and accurate simulations, all results are freely available and easy to apply.

AB - For the design and optimisation of offshore wind turbines, the knowledge of realistic environmental conditions and utilisation of well-founded simulation constraints is very important, as both influence the structural behaviour and power output in numerical simulations. However, real high-quality data, especially for research purposes, are scarcely available. This is why, in this work, a comprehensive database of 13 environmental conditions at wind turbine locations in the North and Baltic Sea is derived using data of the FINO research platforms. For simulation constraints, like the simulation length and the time of initial simulation transients, well-founded recommendations in the literature are also rare. Nevertheless, it is known that the choice of simulation lengths and times of initial transients fundamentally affects the quality and computing time of simulations. For this reason, studies of convergence for both parameters are conducted to determine adequate values depending on the type of substructure, the wind speed, and the considered loading (fatigue or ultimate). As the main purpose of both the database and the simulation constraints is to compromise realistic data for probabilistic design approaches and to serve as a guidance for further studies in order to enable more realistic and accurate simulations, all results are freely available and easy to apply.

UR - http://www.scopus.com/inward/record.url?scp=85054642812&partnerID=8YFLogxK

U2 - 10.5194/wes-2-491-2017

DO - 10.5194/wes-2-491-2017

M3 - Article

AN - SCOPUS:85054642812

VL - 2

SP - 491

EP - 505

JO - Wind Energy Science

JF - Wind Energy Science

SN - 2366-7443

IS - 2

ER -