Publications de Fernando Porté Agel

Publications associées (144)

A modulated gradient model for scalar transport in large-eddy simulation of the atmospheric boundary layer

As a simple alternative to the standard eddy-diffusivity closure, a nonlinear subgrid-scale (SGS) flux model is introduced and implemented in simulations of a neutral atmospheric boundary layer and a stable atmospheric boundary layer. The new model compute ...

American Institute of Physics2013

Mean and turbulent kinetic energy budgets inside and above very large wind farms under conventionally-neutral condition

Fernando Porté Agel, Mahdi Abkar

In this study, large-eddy simulations (LES) is combined with a turbine model to investigate all the terms in the budgets of mean and turbulent kinetic energy (TKE) inside and above very large wind farms. Emphasis is placed on quantifying the relative contr ...

Pergamon-Elsevier Science Ltd2014

Canopy-wake dynamics and wind sheltering effects on Earth surface fluxes

Fernando Porté Agel, Corey Dean Markfort

The atmospheric boundary layer adjustment at the abrupt transition from a canopy (forest) to a flat surface (land or water) is investigated in a wind tunnel experiment. Detailed measurements examining the effect of canopy turbulence on flow separation, red ...

Springer2014

Large-Eddy Simulation of Very-Large-Scale Motions in the Neutrally Stratified Atmospheric Boundary Layer

Fernando Porté Agel, Jiannong Fang

Large-eddy simulation is used to investigate very-large-scale motions (VLSMs) in the neutrally stratified atmospheric boundary layer at a very high friction Reynolds number, . The vertical height of the computational domain is m, which corresponds to the t ...

Springer Verlag2015

TimeGPT in load forecasting: A large time series model perspective

Fernando Porté Agel, Jiannong Fang, Wenlong Liao

Machine learning models have made significant progress in load forecasting, but their forecast accuracy is limited in cases where historical load data is scarce. Inspired by the outstanding performance of large language models (LLMs) in computer vision and ...

2025

Theoretical and experimental study on power performance and wake characteristics of a floating wind turbine under pitch motion

Daniele Gattari, Fernando Porté Agel, Guiyue Duan

Understanding the effects of platform motion on the performance of floating wind turbines is essential to optimize the exploitation of deep-ocean wind resources. In this work, theoretical analyses and wind tunnel experiments are conducted to study the effe ...

2025

Large-Eddy Simulation of Wind Turbine Flows: A New Evaluation of Actuator Disk Models

Fernando Porté Agel, Tristan Revaz

Large-eddy simulation (LES) with actuator models has become the state-of-the-art numerical tool to study the complex interaction between the atmospheric boundary layer (ABL) and wind turbines. In this paper, a new evaluation of actuator disk models (ADMs) ...

2021

Wind Farm Area Shape Optimization Using Newly Developed Multi-Objective Evolutionary Algorithms

Fernando Porté Agel, Nicolas Otto Kirchner Bossi

In recent years, wind farm layout optimization (WFLO) has been extendedly developed to address the minimization of turbine wake effects in a wind farm. Considering that increasing the degrees of freedom in the decision space can lead to more efficient solu ...

MDPI2021

A Gradient Tensor-Based Subgrid-Scale Parameterization for Large-Eddy Simulations of Stratified Shear Layers Using the Weather Research and Forecasting Model

Fernando Porté Agel

The transition process from laminar stratified shear layer to fully developed turbulence is usually captured using direct numerical simulations, in which the computational cost is extremely high and the numerical domain size is limited. In this work, we in ...

AMER METEOROLOGICAL SOC2022

Wind-Turbine and Wind-Farm Flows: A Review

Fernando Porté Agel, Sina Shamsoddin, Majid Bastankhah

Wind energy, together with other renewable energy sources, are expected to grow substantially in the coming decades and play a key role in mitigating climate change and achieving energy sustainability. One of the main challenges in optimizing the design, o ...

2020

Wake flow in a wind farm during a diurnal cycle

Fernando Porté Agel, Mahdi Abkar, Ahmad Sharifi

The atmospheric boundary layer (ABL) undergoes substantial changes in its structure and dynamics in the course of a day due to the transient nature of forcing factors such as the surface fluxes of heat and momentum. The non-stationary nature of the mean wi ...

Taylor & Francis2016

A wind-tunnel investigation of wind-turbine wakes in yawed conditions

Fernando Porté Agel, Majid Bastankhah

Wind-tunnel experiments were performed to study the performance of a model wind turbine and its wake characteristics in a boundary layer under different operating conditions, including different yaw angles and tip speed ratios. High-resolution particle ima ...

Journal of Physics2015

Wind turbine wakes over hills

Fernando Porté Agel, Sina Shamsoddin

Understanding and predicting the behaviour of wind turbine wake flows over hills is important for optimal design of wind-farm configurations on topography. In this study, we present an analytical modelling framework together with large-eddy simulation (LES ...

Cambridge University Press2018

An experimental and analytical study of wind turbine wakes under pressure gradient

Fernando Porté Agel, Arslan Salim Dar

This work is dedicated to the systematic investigation of wind turbine wakes under the effect of pressure gradients. Wind tunnel experiments are carried out with a wind turbine positioned on straight ramps of increasing angle such that it experiences an ap ...

2023

Improving the accuracy and interpretability of neural networks for wind power forecasting

Fernando Porté Agel, Jiannong Fang, Wenlong Liao

Deep neural networks (DNNs) are receiving increasing attention in wind power forecasting due to their ability to effectively capture complex patterns in wind data. However, their forecast errors are severely limited by the local optimal weight issue in opt ...

2025

Estimation of power spectra of acoustic-doppler velocimetry data contaminated with intermittent spikes

Fernando Porté Agel

Spectral analysis of velocity signals recorded by acoustic-Doppler velocimetry (ADV) and contaminated with intermittent spikes remains a challenging task. In this paper, we propose a new method for reconstructing contaminated time series, which integrates ...

2010

Turbulent planar wakes under pressure gradient conditions

Fernando Porté Agel, Sina Shamsoddin

Accurate prediction of the spatial evolution of turbulent wake flows under pressure gradient conditions is required in some engineering applications such as the design of high-lift devices and wind farms over topography. In this paper, we aim to develop an ...

Cambridge University Press2017

Shifts in wind energy potential following land-use driven vegetation dynamics in complex terrain

Alexandre Buttler, Fernando Porté Agel, François Golay, Jiannong Fang, Alexander Ludwig Johannes Peringer

Many mountainous regions with high wind energy potential are characterized by multi-scale variabilities of vegetation in both spatial and time dimensions, which strongly affect the spatial distribution of wind resource and its time evolution. To this end, ...

2018

Large-eddy simulation of a very large wind farm in a stable atmospheric boundary layer

Fernando Porté Agel, Hao Lu

When deployed as large arrays, wind turbines significantly interact among themselves and with the atmospheric boundary layer. In this study, we integrate a three-dimensional large-eddy simulation with an actuator line technique to examine the characteristi ...

American Institute of Physics2011

A Simple Physically-Based Model for Wind-Turbine Wake Growth in a Turbulent Boundary Layer

Fernando Porté Agel, Wai Chi Cheng

The growth rate of wind-turbine wakes in the atmospheric boundary layer is a key parameter in analytical models used to predict wind-turbine wakes and their effects in wind farms. To date, the turbine-wake growth rate is determined empirically, owing to ou ...

2018