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Wind Turbine Aerodynamics Simulation Using the Spectral/hp Element Framework Nektar++
RISE Research Institutes of Sweden, Safety and Transport, Electrification and Reliability.ORCID iD: 0000-0002-0096-3144
RISE Research Institutes of Sweden, Safety and Transport, Maritime department.ORCID iD: 0000-0001-6934-634x
2025 (English)In: Wind, E-ISSN 2674-032X, Vol. 5, article id 5010006Article in journal (Refereed) Published
Abstract [en]

Wind power plays an increasingly vital role in sustainable energy development. However, accurately simulating wind turbine aerodynamics, particularly in offshore wind farms, remains challenging due to complex environmental factors such as the marine atmospheric boundary layer. This study investigates the integration and assessment of the Actuator Line Model (ALM) within the high-order spectral/hp element framework, Nektar++, for wind turbine aerodynamic simulations. The primary objective is to evaluate the implementation and effectiveness of the ALM by analyzing aerodynamic loads, wake behavior, and computational demands. A three-bladed NREL-5MW turbine is modeled using the ALM in Nektar++, with results compared against established computational fluid dynamics (CFD) tools, including SOWFA and AMR-Wind. The findings demonstrate that Nektar++ effectively captures velocity and vorticity fields in the turbine wake while providing aerodynamic load predictions that closely align with finite-volume CFD models. Furthermore, the spectral/hp element framework exhibits favorable scalability and computational efficiency, indicating that Nektar++ is a promising tool for high-fidelity wind turbine and wind farm aerodynamic research.

Place, publisher, year, edition, pages
2025. Vol. 5, article id 5010006
Keywords [en]
actuator line model (ALM); Nektar++; spectral/hp element method; high-order simulation; wake characteristics; aerodynamic loads; computational fluid dynamics (CFD)
National Category
Fluid Mechanics
Identifiers
URN: urn:nbn:se:ri:diva-77979DOI: 10.3390/wind5010006OAI: oai:DiVA.org:ri-77979DiVA, id: diva2:1939607
Funder
Swedish Energy Agency, 2021-029520
Note

 This research was conducted within the framework of the VindEl program and received funding from the Swedish Energy Agency (Energimyndigheten) under the grant No. 2021-029520

Available from: 2025-02-24 Created: 2025-02-24 Last updated: 2025-04-01Bibliographically approved

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Abedi, HamidrezaEskilsson, Claes
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Electrification and ReliabilityMaritime department
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
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  • nn-NB
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  • Other locale
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Output format
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