Qualitative investigation of wake composition in offshore wind turbines: a combined computational and statistical analysis of inner and outer blade sections

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dc.contributor.authorSiddiqui, M. Salman
dc.contributor.authorBadar, Abdul Waheed
dc.contributor.authorYang, Liang
dc.contributor.authorSaeed, Muhammed
dc.contributor.authorKeprate, Arvind
dc.date.accessioned2024-02-21T16:46:07Z
dc.date.available2024-02-21T16:46:07Z
dc.date.issued2024-02-06
dc.description2023 7th International Conference on Renewable Energy and Environment (ICREE 2023), 22-24 September 2023, Eskişehir, Turkeyen_UK
dc.description.abstractHigh-fidelity numerical simulations are used to thoroughly analyze the evolution of the wake behind a megawatt-scale offshore wind turbine. The wake features are classified in terms of wake dynamics composition and the associated turbulence characteristics originating from the inner and outer sections of the blades. Understanding the wake is essential for developing compact layouts for future wind farms. We employed a transient Sliding Mesh Interface (SMI) technique to analyze the fully dynamic wake evolution of the offshore NREL 5MW full turbine. Our high-fidelity results have been validated against previously published results in the literature. We thoroughly investigated the dominant structures of the wake using Proper Orthogonal Decomposition (POD) techniques, which we applied to transient simulations of fully developed flows after five wind turbine revolutions over the snapshot data. Our findings show that the inner section of the blades, which is composed of airfoils with larger cross-sections, is responsible for the dominant components of the wake, while the contribution of the wake from the outer section of the blade is significantly lower. Therefore, designing more aerodynamic sections for the blade’s inner section can help reduce the dominant wake components and thus decrease the inter-turbine distance in future wind farms.en_UK
dc.identifier.citationSiddiqui MS, Badar AW, Yang L, et al., (2024) Qualitative investigation of wake composition in offshore wind turbines: a combined computational and statistical analysis of inner and outer blade sections. In: E3S Web of Conferences, Volume 487, Article number 01001en_UK
dc.identifier.issn2555-0403
dc.identifier.urihttps://doi.org/10.1051/e3sconf/202448701001
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20865
dc.language.isoenen_UK
dc.publisherEDP Sciencesen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleQualitative investigation of wake composition in offshore wind turbines: a combined computational and statistical analysis of inner and outer blade sectionsen_UK
dc.typeConference paperen_UK

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