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Thursday, 24 September, 2020, 10:30 a.m. - 12:00 a.m.

Special session on advanced computational methods for designing a new generation of small vertical axis wind turbines

Aims of the special session

Wind energy sector is one of the fastest growing energy sectors in the last two decades. However, the development has been concentrated on large offshore horizontal axis wind turbines with rated power above 1 MW. Relatively small units that can be installed in households are another very interesting and attractive direction of development of wind energy sector. It is highly probable that on contrary to large scale wind turbines, this branch of wind energy development will be dominated by vertical axis wind turbines due to their inherent advantages such as low rotational speed, low noise emissions, simple construction, susceptibility to highly turbulent flows and many others. This special session is devoted to different aspects of computation and designing of small vertical axis wind turbines with the use of computational tools. State of the art of CFD and FSI computation of vertical axis wind turbines will be presented during this session. Moreover, heuristic methods of optimisation, reduced order modelling and surrogate modelling will be discussed.

Scope of the special session
  • Renewable energy sources
  • Small scale wind turbines
  • Vertical axis wind turbines
  • Computational Fluid Dynamics (CFD)
  • Structural and Fluid Structure Interaction analyses
  • Reduced Order Modelling
  • Heuristic Optimisation Methods
  • Parametric computional fluid dynamics analysis of the influence of rotor shape geometry on the performance of a savonius wind turbine
    Tumidajski Jakub, Buliński Zbigniew, Krysiński Tomasz, Marzec Łukasz,
  • Optimisation of the shape of the Savonius wind turbine blades using Evolutionary Algorithm and Bezier functions
    Krysiński Tomasz, Bulinski Zbigniew, Marzec Łukasz, Tumidajski Jakub, Nowak Andrzej,
  • Fluid Structure Interaction analysis of the performance of H-rotor wind turbine at different operating conditions
    Marzec Łukasz, Bulinski Zbigniew, Krysiński Tomasz, Łokieć Adam, Tumidajski Jakub,
  • Optimisation of the lift based vertical axis wind turbine design
    Krysiński Tomasz, Buliński Zbigniew, Marzec Łukasz, Tumidajski Jakub,

More info and the order of the presentations are on the detailed schedule

About the project

Title: Heuristic optimisation algorithm with coupled reduced order model generation for computation of wind turbines

Acronym: OptiROM

The OptiROM project aims at increasing the efficiency of simulating and introducing new innovative ideas into vertical axis wind turbine designs. Airflow around an operating wind turbine is highly turbulent and unstable in its nature. Therefore, the high quality and valid simulation of such flow can become very costly, especially when the simulated wind turbine dimensions goes up. This becomes a significant problem when considering the design optimisation requiring high numbers of repeated simulated performance evaluations. The OptiROM project goal is to reduce the cost of the wind turbine shape optimisation process by combining the Computational Fluid Dynamics modelling approach with the Reduced Order Methods and Heuristic Optimisation Algorithms.

Selected project results

Visualisation of the highly unstable and turbulent nature of the airflow around the operating Savonius wind turbine; isosurfaces with constant turbulence intensity value colorured by the fluid velocity magnitude.

Visualisation of the fluid flow streamlines around the operating H-rotor type wind turbine; coloured by the velocity magnitude.

Deformation of the drag-based Savonius wind turbine rotor due to the induced aerodynamic and centrifugal forces.

Visualisation of the fluid flow streamlines around operating Savonius type wind turbine; coloured by the velocity magnitude.
Project contractor
Silesian University of Technology (SUT), Poland
Department of Thermal Technology
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All papers presented in this session have received financial support from National Science Centre within OPUS scheme under contract UMO-2017/27/B/ST8/02298.