Ciri, U., Petrolo, G., Salvetti, M. V., and Leonardi, S.: Large-eddy simulations of two in-line turbines in a wind tunnel with different inflow conditions, Energies, 10, 821,
https://doi.org/10.3390/en10060821, 2017.
a
Corson, D., Griffith, D. T., Ashwill, T., and Shakib, F.: Investigating aeroelastic performance of multi-mega watt wind turbine rotors using CFD, in: 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA, Honolulu, Hawaii, 23–26 April 2012, 1827,
https://doi.org/10.2514/6.2012-1827, 2012.
a
Dose, B., Rahimi, H., Herráez, I., Stoevesandt, B., and Peinke, J.: Fluid-structure coupled computations of the NREL 5 MW wind turbine by means of CFD, Renew. Energ., 129, 591–605, 2018. a
DTU Wind Energy: Wind conditions for fatigue loads, extreme loads and siting,
https://www.wasp.dk/weng#details__iec-turbulence-simulator (last access: 19 December 2023), 2018. a
Elie, B., Oger, G., Vittoz, L., and Le Touzé, D.: Simulation of two in-line wind turbines using an incompressible Finite Volume solver coupled with a Blade Element Model, Renew. Energ., 187, 81–93, 2022.
a,
b
Farhat, C. and Lesoinne, M.: Two efficient staggered algorithms for the serial and parallel solution of three-dimensional nonlinear transient aeroelastic problems, Comput. Method. Appl. M., 182, 499–515, 2000.
a,
b
Gao, Z., Li, Y., Wang, T., Ke, S., and Li, D.: Recent improvements of actuator line-large-eddy simulation method for wind turbine wakes, Appl. Math. Mech., 42, 511–526, 2021. a
Gremmo, S., Muller, E., Houtin-Mongrolle, F., Duboc, B., and Bénard, P.: Rotor-wake interactions in a wind turbine row: a multi-physics investigation with large eddy simulation, in: TORQUE2022,
https://doi.org/10.1088/1742-6596/2265/2/022020, 2022.
a
Hodgson, E., Andersen, S., Troldborg, N., Forsting, A. M., Mikkelsen, R., and Sørensen, J.: A quantitative comparison of aeroelastic computations using flex5 and actuator methods in les, J. Phys.-Conf. Ser., 1934, 012014,
https://doi.org/10.1088/1742-6596/1934/1/012014, 2021.
a,
b
Houtin-Mongrolle, F.: Investigations of yawed offshore wind turbine interactions through aero-servo-elastic Large Eddy Simulations, PhD thesis, INSA Rouen Normandie,
https://theses.hal.science/tel-03987411 (last access: 19 December 2023), 2022.
a,
b
Jha, P. K., Churchfield, M. J., Moriarty, P. J., and Schmitz, S.: Guidelines for volume force distributions within actuator line modeling of wind turbines on large-eddy simulation-type grids, J. Sol. Energ.-T. ASME, 136, 031003,
https://doi.org/10.1115/1.4026252, 2014.
a,
b
Larsen, G. C., Aagaard Madsen, H., and Bingöl, F.: Dynamic wake meandering modeling, Tech. rep., Technical University of Denmark,
https://orbit.dtu.dk/en/publications/dynamic-wake-meandering-modeling (last access: 19 December 2023), ISBN 978-87-550-3602-4, 2007. a
Larsen, T. J. and Hansen, A. M.: How 2 HAWC2, the user’s manual, Risø National Laboratory, 1597,
https://orbit.dtu.dk/en/publications/how-2-hawc2-the-users-manual (last access: 19 December 2023), ISBN 978-87-550-3583-6, 2007.
a,
b
Lawson, M. J., Melvin, J., Ananthan, S., Gruchalla, K. M., Rood, J. S., and Sprague, M. A.: Blade-Resolved, Single-Turbine Simulations Under Atmospheric Flow, Tech. rep., National Renewable Energy Lab.(NREL), Golden, CO (United States),
https://doi.org/10.2172/1493479, 2019.
a
Lee, S., Churchfield, M., Moriarty, P., Jonkman, J., and Michalakes, J.: Atmospheric and wake turbulence impacts on wind turbine fatigue loadings, in: 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, p. 540,
https://doi.org/10.2514/6.2012-540, 2012.
a,
b,
c
Leishman, J. G. and Beddoes, T.: A Semi-Empirical model for dynamic stall, J. Am. Helicopter Soc., 34, 3–17, 1989.
a,
b
Li, Y., Castro, A., Sinokrot, T., Prescott, W., and Carrica, P.: Coupled multi-body dynamics and CFD for wind turbine simulation including explicit wind turbulence, Renew. Energ., 76, 338–361, 2015.
a,
b,
c
Malandain, M., Maheu, N., and Moureau, V.: Optimization of the deflated conjugate gradient algorithm for the solving of elliptic equations on massively parallel machines, J. Comput. Phys., 238, 32–47, 2013. a
Mann, J.: The spatial structure of neutral atmospheric surface-layer turbulence, J. Fluid Mech., 273, 141–168, 1994. a
Mann, J.: Wind field simulation, Probabilist. Eng. Mech., 13, 269–282, 1998. a
Matsuishi, M. and Endo, T.: Fatigue of metals subjected to varying stress, Japan Society of Mechanical Engineers, Fukuoka, Japan, 68, 37–40, 1968. a
Meng, H., Lien, F.-S., and Li, L.: Elastic actuator line modelling for wake-induced fatigue analysis of horizontal axis wind turbine blade, Renew. Energ., 116, 423–437, 2018.
a,
b
Message Passing Interface Forum: MPI: A Message-Passing Interface Standard Version 4.0,
https://www.mpi-forum.org/docs/mpi-4.0/mpi40-report.pdf (last access: 19 December 2023), 2021. a
Mishnaevsky, L., Branner, K., Petersen, H. N., Beauson, J., McGugan, M., and Sørensen, B. F.: Materials for wind turbine blades: an overview, Materials, 10, 1285,
https://doi.org/10.3390/ma10111285, 2017.
a
Moureau, V. and Lartigue, G.: YALES2 public page, CORIIA – CFD [code],
https://www.coria-cfd.fr/index.php/YALES2 (last access: 3 January 2024), 2023. a
Moureau, V., Domingo, P., and Vervisch, L.: Design of a massively parallel CFD code for complex geometries, C.R. Mécanique, 339, 141–148,
https://doi.org/10.1016/j.crme.2010.12.001, 2011.
a,
b,
c,
d
National Renewable Energy Laboratory: OpenFast, GitHub [code],
https://github.com/OpenFAST (last access: 26 July 2022), 2022.
a,
b
Øye, S.: Dynamic stall simulated as time lag of separation, in: Proceedings of the 4th IEA Symposium on the Aerodynamics of Wind Turbines, vol. 27, p. 28, Rome, Italy, 1991. a
Rubak, R. and Petersen, J. T.: Monopile as part of aeroelastic wind turbine simulation code, Proceedings of Copenhagen Offshore Wind, 20,
https://www.academia.edu/8377332/Siemens_Wind_Power_A_S_Copenhagen_Offshore_Wind_2005_Monopile_as_Part_of_Aeroelastic_Wind_Turbine_Simulation_Code (last access: 19 December 2023), 2005.
a,
b,
c,
d
Santoni, C., Carrasquillo, K., Arenas-Navarro, I., and Leonardi, S.: Effect of tower and nacelle on the flow past a wind turbine, Wind Energy, 20, 1927–1939, 2017. a
Shives, M. and Crawford, C.: Mesh and load distribution requirements for actuator line CFD simulations, Wind Energy, 16, 1183–1196, 2013. a
Siemens Gamesa Renewable Energy: SWT-6.0-154 Offshore wind turbine,
https://www.thewindpower.net/turbine_en_807_siemens_swt-6.0-154.php (last access: 19 December 2023), 2014.
a,
b
Skjoldan, P. F.: Aeroelastic modal dynamics of wind turbines including anisotropic effects, PhD thesis, Danmarks Tekniske Universitet,
https://orbit.dtu.dk/en/publications/aeroelastic-modal-dynamics-of-wind-turbines-including-anisotropic (last access: 19 December 2023), ISBN 978-87-550-3848-6, 2011. a
Sprague, M. A., Ananthan, S., Vijayakumar, G., and Robinson, M.: ExaWind: A multifidelity modeling and simulation environment for wind energy, J. Phys.-Conf. Ser., 1452, 012071,
https://doi.org/10.1088/1742-6596/1452/1/012071, 2020.
a,
b
Stanly, R., Martínez-Tossas, L. A., Frankel, S. H., and Delorme, Y.: Large-Eddy Simulation of a wind turbine using a Filtered Actuator Line Model, J. Wind Eng. Ind. Aerod., 222, 104868,
https://doi.org/10.1016/j.jweia.2021.104868, 2022.
a
Sutherland, H. J.: On the fatigue analysis of wind turbines, Tech. rep., Sandia National Lab.(SNL-NM), Albuquerque, NM (United States),
https://doi.org/10.2172/9460, 1999.
a
Thé, J. and Yu, H.: A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods, Energy, 138, 257–289, 2017. a
Troldborg, N.: Actuator line modeling of wind turbine wakes, PhD thesis, Danmarks Tekniske Universitet,
https://orbit.dtu.dk/en/publications/actuator-line-modeling-of-wind-turbine-wakes (last access: 19 December 2023), 2009. a
