Publications related to Wind power forecasting

A model-based data-interpretation framework for improving wind predictions around buildings

Although Computational Fluid Dynamics (CFD) simulations are often used to assess wind conditions around buildings, the accuracy of such simulations is often unknown. This paper proposes a data-interpretation framework that uses multiple simulations in comb ...

Elsevier2015

Data-driven Reduced Order Model for prediction of wind turbine wakes

Fernando Porté Agel, Giacomo Valerio Iungo, Mahdi Abkar

In this paper a new paradigm for prediction of wind turbine wakes is proposed, which is based on a reduced order model (ROM) embedded in a Kalman filter. The ROM is evaluated by means of dynamic mode decomposition performed on high fidelity LES numerical s ...

Iop Publishing Ltd2015

Large-eddy simulation of the diurnal variation of wake flows in a finite-size wind farm

Fernando Porté Agel, Mahdi Abkar, Ahmad Sharifi

In this study, large-eddy simulation (LES) is used to study the evolution of the wind-turbine wakes and their effects on power losses inside an idealized finite-size wind farm in the course of a full diurnal cycle. In the LES, turbulent subgrid-scale stres ...

Iop Publishing Ltd2015

Large-eddy simulation of the diurnal variation of wake flows in a finite-size wind farm

Fernando Porté Agel, Mahdi Abkar, Ahmad Sharifi

In this study, large-eddy simulation (LES) is used to study the evolution of the wind-turbine wakes and their effects on power losses inside an idealized finite-size wind farm in the course of a full diurnal cycle. In the LES, turbulent subgrid-scale stres ...

2015

Deterministic and stochastic MPC algorithms for minimizing mechanical stresses in wind farms

Giancarlo Ferrari Trecate

We consider the problem of dispatching WindFarm (WF) power demand to individual Wind Turbines (WTs) with the goal of minimizing mechanical stresses. We assume wind is strong enough to let each WT produce the required power and propose different closed-loop ...

2015

Modeling turbine wakes and power losses within a wind farm using LES: An application to the Horns Rev offshore wind farm

Fernando Porté Agel, Yu-Ting Wu

A modeling framework is proposed and validated to simulate turbine wakes and associated power losses in wind farms. It combines the large-eddy simulation (LES) technique with blade element theory and a turbine-model-specific relationship between shaft torq ...

Pergamon-Elsevier Science Ltd2015

Effects of incoming wind condition and wind turbine aerodynamics on the hub vortex instability

François Gallaire, Giacomo Valerio Iungo, Francesco Viola

Dynamics and instabilities occurring in the near-wake of wind turbines have a crucial role for the wake downstream evolution, and for the onset of far-wake instabilities. Furthermore, wake dynamics significantly affect the intra-wind farm wake flow, wake i ...

Iop Publishing Ltd2015

Data-driven RANS for simulations of large wind farms

Giacomo Valerio Iungo, Francesco Viola

In the wind energy industry there is a growing need for real-time predictions of wind turbine wake flows in order to optimize power plant control and inhibit detrimental wake interactions. To this aim, a data-driven RANS approach is proposed in order to ac ...

Iop Publishing Ltd2015

Near-inertial waves in Lake Erie

Damien Bouffard

Near-inertial (Poincare) waves with a period T-p similar to 17 h are the dominant wind-induced internal wave motions in central Lake Erie and consequently have a substantial influence on lake circulation, mixing and biogeochemistry. However, due to the com ...

American Society of Limnology and Oceanography2015

Time-adaptive wind turbine model for an LES framework

Varun Sharma, Michael Lehning, Marc Parlange, Marc Calaf Bracons

Most large-eddy simulation studies related to wind energy have been carried out either by using a fixed pressure gradient to ensure that mean wind direction is perpendicular to the wind turbine rotor disk or by forcing the flow with a geostrophic wind and ...

Wiley-Blackwell2015

Wind power forecasting

A model-based data-interpretation framework for improving wind predictions around buildings

Data-driven Reduced Order Model for prediction of wind turbine wakes

Large-eddy simulation of the diurnal variation of wake flows in a finite-size wind farm

Large-eddy simulation of the diurnal variation of wake flows in a finite-size wind farm

Deterministic and stochastic MPC algorithms for minimizing mechanical stresses in wind farms

Modeling turbine wakes and power losses within a wind farm using LES: An application to the Horns Rev offshore wind farm

Effects of incoming wind condition and wind turbine aerodynamics on the hub vortex instability

Data-driven RANS for simulations of large wind farms

Near-inertial waves in Lake Erie

Time-adaptive wind turbine model for an LES framework

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Effects of incoming wind condition and wind turbine aerodynamics on the hub vortex instability

A model-based data-interpretation framework for improving wind predictions around buildings

Large-eddy simulation of the diurnal variation of wake flows in a finite-size wind farm

Large-eddy simulation of the diurnal variation of wake flows in a finite-size wind farm

Data-driven RANS for simulations of large wind farms

Deterministic and stochastic MPC algorithms for minimizing mechanical stresses in wind farms

Data-driven Reduced Order Model for prediction of wind turbine wakes

Modeling turbine wakes and power losses within a wind farm using LES: An application to the Horns Rev offshore wind farm

Near-inertial waves in Lake Erie

Time-adaptive wind turbine model for an LES framework