A level set-based actuator disc model for turbine realignment in wind farm simulation: meshing, convergence and applications

We present a novel meshing and simulation approach for wind farms, featuring realignment and mesh adaptation. The turbines are modeled with actuator discs, which are discretized by means of an adaptation process to represent a level set function. The level-set-based simulation framework is combined...

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Detalhes bibliográficos
Autores: Gargallo Peiró, Abel|||0000-0003-3742-2197, Revilla Mut, Gonzalo, Avila Salinas, Matías Oscar, Houzeaux, Guillaume|||0000-0002-2592-1426
Tipo de documento: artigo
Data de publicação:2022
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositório:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglês
OAI Identifier:oai:upcommons.upc.edu:2117/377533
Acesso em linha:https://hdl.handle.net/2117/377533
https://dx.doi.org/10.3390/en15238877
Access Level:Acceso aberto
Palavra-chave:Wind power plants
Wind turbines
Wind farms
Actuator disc
Level set
Adaptation
Mesh generation
Parcs eòlics
Aerogeneradors
Àrees temàtiques de la UPC::Energies::Energia eòlica
Descrição
Resumo:We present a novel meshing and simulation approach for wind farms, featuring realignment and mesh adaptation. The turbines are modeled with actuator discs, which are discretized by means of an adaptation process to represent a level set function. The level-set-based simulation framework is combined with an adaptation cycle to capture both the solution and the actuator discs. In addition, we devise a turbine realignment process which takes into account the actual flow in the actuator disc configuration. Several results are presented to highlight the features of the approach. First, the adaptive simulation approach is validated, fulfilling the theoretical convergence rates and improving the accuracy of the boundary tight representations. Second, the adaptive simulation process is applied to a full wind farm configuration featuring 219 turbines, illustrating that is it well devised for complex wind farm configurations. Third, the turbine reorientation process is validated in a one turbine scenario. Finally, the realignment simulation framework is applied in a wind farm featuring 115 turbines. The presented results outline the significance of the proposed work, enabling turbine realignment and mesh adaptation to perform accurate simulations of complex wind farm configurations.