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dc.contributor.authorVerma, Amrit Shankar
dc.contributor.authorJiang, Zhiyu
dc.contributor.authorCaboni, Marco
dc.contributor.authorVerhoef, Hans
dc.contributor.authorMeijer, Harald van der Mijle
dc.contributor.authorCastro, Saullo G.P.
dc.contributor.authorTeuwen, Julie J.E.
dc.identifier.citationRenewable Energy. 2021, 178 1435-1455.en_US
dc.description.abstractRain-induced leading-edge erosion of wind turbine blades is associated with high repair and maintenance costs. For efficient operation and maintenance, erosion models are required that provide estimates of blade coating lifetime at a real scale. In this study, a statistical rainfall model is established that describes probabilistic distributions of rain parameters that are critical for site-specific leading-edge erosion assessment. A new droplet size distribution (DSD) is determined based on two years’ onshore rainfall data of an inland site in the Netherlands and the obtained DSD is compared with those from the literature. Joint probability distribution functions of rain intensities and droplet sizes are also established for this site as well as for a coastal site in the Netherlands. Then, the application of the proposed model is presented for a 5 MW wind turbine, where the model is combined with wind statistics along with an analytical surface fatigue model that describes lab-scale coating degradation. The expected lifetime of the blade coating is found three to four times less for the wind turbine operating at the coastal site than for the inland site - primarily due to rainfall at higher wind speeds. Further, the robustness of the proposed model is found consistent with varying data periods used for the analyses.en_US
dc.publisherElsevier Ltden_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.subjectWind turbine bladeen_US
dc.subjectLeading-edge erosionen_US
dc.subjectProbabilistic analysisen_US
dc.subjectAnalytical methoden_US
dc.subjectLong term analysisen_US
dc.titleA probabilistic rainfall model to estimate the leading-edge lifetime of wind turbine blade coating systemen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.rights.holder© 2021 The Authors. Published by Elsevier Ltd.en_US
dc.source.journalRenewable Energyen_US

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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal