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Alfredo Pena Diaz

Technical University of Denmark

Denmark

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Research Interests

Energy Engineering

50%

Meteorology

40%

Atmospheric Dynamics

70%

Wind Engineering

60%

Lidar Technology

40%

Energy Economics

30%

Energy Forecasting

20%

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Articles19

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

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Year:

2026

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

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Year:

2025

On the lidar-turbulence paradox and possible countermeasures

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Year:

2025

Understanding the Impact of Turbulence on Floating Lidar Measurements

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Year:

2025

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

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Year:

2024

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

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Year:

2024

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

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Year:

2024

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

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Year:

2023

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

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Year:

2023

Dependence of turbulence estimations on nacelle lidar scanning strategies

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Year:

2023

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

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Year:

2023

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

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Year:

2023

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

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Year:

2023

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

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Year:

2023

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

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Year:

2023

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

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Year:

2023

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

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Year:

2022

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

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Year:

2022

A Motion-Correction Method for Turbulence Estimates from Floating Lidars

Article Link

Year:

2022

Collaborators8

Alexander Raul Meyer Forsting

Technical University of Denmark

DENMARK

Jakob Mann

Technical University of Denmark

DENMARK

Rogier Ralph Floors

Technical University of Denmark

DENMARK

Mark Kelly

Technical University of Denmark

DENMARK

Jake Badger

Technical University of Denmark

DENMARK

Nikolas Angelou

Technical University of Denmark

DENMARK

Pierre-Elouan Réthoré

Technical University of Denmark

DENMARK

Niels N. Sørensen

Technical University of Denmark

DENMARK

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