dc.contributor.author | Ziegler, Lisa | |
dc.contributor.author | Voormeeren, Sven | |
dc.contributor.author | Schafhirt, Sebastian | |
dc.contributor.author | Muskulus, Michael | |
dc.date.accessioned | 2016-09-22T10:45:54Z | |
dc.date.accessioned | 2016-09-29T07:14:10Z | |
dc.date.available | 2016-09-22T10:45:54Z | |
dc.date.available | 2016-09-29T07:14:10Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Energy Procedia 2015, 80:193-200 | nb_NO |
dc.identifier.issn | 1876-6102 | |
dc.identifier.uri | http://hdl.handle.net/11250/2411610 | |
dc.description.abstract | Considerable variations in environmental site conditions can exist within large offshore wind farms leading to divergent fatigue loads on support structures. An efficient frequency-domain method to calculate wave-induced fatigue loads on offshore wind turbine monopile foundations was developed. A verification study with time-domain simulations for a 4MW offshore wind turbine showed result accuracies of more than 90% for equivalent bending moments at mudline and interface level. This accuracy and computation times in the order of seconds make the frequency-domain method ideal for preliminary design and support structure optimization. The model is applied in sensitivity analysis of fatigue loads using Monte-Carlo simulations. Local and global sensitivity studies and a probabilistic assessment give insight into the importance of site parameters like water depth, soil stiffness, wave height, and wave period on fatigue loads. Results show a significant influence of water depth and wave period. This provides a basis for design optimization, load interpolation and uncertainty analysis in large wind farms. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Elsevier | nb_NO |
dc.rights | Navngivelse-Ikkekommersiell-IngenBearbeidelse 3.0 Norge | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/no/ | * |
dc.title | Sensitivity of wave fatigue loads on offshore wind turbines under varying site conditions | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.date.updated | 2016-09-22T10:45:54Z | |
dc.source.volume | 80 | nb_NO |
dc.source.journal | Energy Procedia | nb_NO |
dc.identifier.doi | 10.1016/j.egypro.2015.11.422 | |
dc.identifier.cristin | 1297440 | |
dc.description.localcode | © 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license. | nb_NO |