Dara Vahidi

ORCID: 0000-0003-1302-9366
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About
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Research Areas
  • Wind Energy Research and Development
  • Aerodynamics and Fluid Dynamics Research
  • Wind and Air Flow Studies
  • Energy Load and Power Forecasting
  • Global Energy and Sustainability Research

École Polytechnique Fédérale de Lausanne
2016-2024

Analytical wind turbine wake models are widely used to predict the velocity deficit. In these models, growth rate is a key parameter specified mainly with empirical formulations. this study, new physics-based model proposed and validated expansion downstream of based on incoming ambient turbulence operating conditions. The utilises Taylor diffusion theory, Gaussian model, turbulent mixing layer theory analogy between scalar diffusion. These components ensure that conserves mass momentum in...

10.1017/jfm.2022.443 article EN cc-by Journal of Fluid Mechanics 2022-06-20

In this study, we aim to investigate the influence of inflow turbulent length scales on wind turbine wakes. For purpose, large-eddy simulations wake a are performed under neutral atmospheric conditions with different boundary layer heights. Different generated by varying height, while systematic approach is proposed ensure that all have same total turbulence intensity at hub level. First, study without analyze scale variations and fairly constant rotor-averaged among cases. Next, turbine. We...

10.1063/5.0222372 article EN cc-by Physics of Fluids 2024-09-01

In this study, we aim to investigate if there is a scaling of the streamwise distance from wind turbine that leads collapse mean wake velocity deficit under different ambient turbulence levels. For purpose, perform large-eddy simulations neutral atmospheric conditions with various Based on observation higher level faster recovery and shorter near-wake length, propose use length as an appropriate normalization scale. By normalizing by obtain normalized profiles for We then explore possibility...

10.3390/en15249477 article EN cc-by Energies 2022-12-14

In this paper, the 10-minutes period measured wind speed data at different heights (10 m, 30 and 40 m) are presented for Khvaf, which is one of major counties with high potential in Khorasan provinces Iran. To author’s knowledge, there hasn’t been any assessment works mentioned site. From primary evaluation by determining mean also Weibull function, results show that measurement site falls under class 7 International System Wind Classification, means station has very suitable conditions...

10.22059/jcamech.2016.59255 article EN Applied and Computational Mechanics 2016-06-01

Analytical wake models are widely used to predict wind turbine wakes. While these well-established for horizontal-axis turbines (HAWTs), the analytical vertical-axis (VAWTs) remain under-explored in energy community. In this study, accuracy of two scaling techniques is evaluated change normalized maximum velocity deficit behind VAWTs by re-scaling an actuator disk with same thrust coefficient. The defined terms equivalent diameter, considering geometrical properties wake-generating object....

10.3390/en17174527 article EN cc-by Energies 2024-09-09
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