Alfredo Pena Diaz

Technical University of Denmark

Denmark

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Articles (19)

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2026

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2022

Collaborators (8)

Alexander Raul Meyer Forsting

Technical University of Denmark

DENMARK

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Jakob Mann

Technical University of Denmark

DENMARK

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Rogier Ralph Floors

Technical University of Denmark

DENMARK

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Mark Kelly

Technical University of Denmark

DENMARK

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Jake Badger

Technical University of Denmark

DENMARK

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Nikolas Angelou

Technical University of Denmark

DENMARK

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Pierre-Elouan Réthoré

Technical University of Denmark

DENMARK

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Niels N. Sørensen

Technical University of Denmark

DENMARK

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Alfredo Pena Diaz

Research Interests

Contact this professor

Articles (19)

Effects of turbulence inhomogeneity and atmosphere stability on the aeroelastic response of the IEA 22 MW wind turbine

Tall wind profile validation of ERA5, NORA3, and NEWA datasets using lidar observations

On the lidar-turbulence paradox and possible countermeasures

Understanding the Impact of Turbulence on Floating Lidar Measurements

Evaluation of wind farm parameterizations in the WRF model under different atmospheric stability conditions with high-resolution wake simulations

One-year-long turbulence measurements and modeling using large-eddy simulation domains in the Weather Research and Forecasting model

Wind turbine power curve modelling under wake conditions using measurements from a spinner-mounted lidar

A new RANS-based wind farm parameterization and inflow model for wind farm cluster modeling

On the Retrieval of Surface-Layer Parameters from Lidar Wind-Profile Measurements

Dependence of turbulence estimations on nacelle lidar scanning strategies

Wind Energy and the Energy Transition: Challenges and Opportunities for Mexico

Numerical evaluation of multivariate power curves for wind turbines in wakes using nacelle lidars

Offshore wind resource assessment based on scarce spatio-temporal measurements using matrix factorization

Using Observed and Modelled Heat Fluxes for Improved Extrapolation of Wind Distributions

Feedforward pitch control for a 15 MW wind turbine using a spinner-mounted single-beam lidar

A method to correct for the effect of blockage and wakes on power performance measurements

Current and future wind energy resources in the North Sea according to CMIP6

Evaluation of orography and roughness model inputs and deep neural network regression for wind speed predictions

A Motion-Correction Method for Turbulence Estimates from Floating Lidars

Collaborators (8)

Alexander Raul Meyer Forsting

Jakob Mann

Rogier Ralph Floors

Mark Kelly

Jake Badger

Nikolas Angelou

Pierre-Elouan Réthoré

Niels N. Sørensen

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