Publications de Nicolas Otto Kirchner Bossi

A hybrid physics-based and data-driven model for intra-day and day-ahead wind power forecasting considering a drastically expanded predictor search space

Fernando Porté Agel, Nicolas Otto Kirchner Bossi

This work presents a novel hybrid (physics- and data -driven) model for short-term (intra-day and day-ahead, 3h -24h) wind power forecasting (STWPF). Traditionally, STWPF predictors admitted very few meteorological variables only from the grid points close ...

Elsevier Sci Ltd2024

Wind farm power density optimization according to the area size using a novel self-adaptive genetic algorithm

Fernando Porté Agel, Nicolas Otto Kirchner Bossi

This work studies the power density (PD) optimization in wind farms, and its sensitivity to the available area size. A novel genetic algorithm (PDGA) is introduced, which optimizes PD and the turbine layout, by self-adapting to the PD and to the solutions ...

Pergamon-Elsevier Science Ltd2023

Wind farm layout and unconstrained hub height optimization using genetic algorithms applied to different power densities

Fernando Porté Agel, Nicolas Otto Kirchner Bossi

LES and wind tunnel studies have shown significant benefit when allowing turbines (T) in a wind farm to adopt different heights. This work presents two new genetic algorithms (GA) that perform wind farm layout optimization (WFLO) involving continuous and t ...

2022

Consequence forecasting: A rational framework for predicting the consequences of approaching storms

Nicolas Otto Kirchner Bossi

As our climate continues to respond to anthropogenic forcing, the magnitude and frequency of individual weather events and the intensity of the weather extremes associated with these, re -mains highly uncertain. This is a particular concern for our infrast ...

ELSEVIER2022

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

Multi-rotor Wind Farm Layout Optimization

Fernando Porté Agel, Nicolas Otto Kirchner Bossi

Multi-rotor wind turbines have shown a faster wake recovery than equivalent single-rotor turbines. In this work the potential benefit of a wind farm with multi-rotor turbines is assessed through the optimization of the turbine positions using the CEGA wind ...

IOP Publishing2020

Realistic Wind Farm Layout Optimization through Genetic Algorithms Using a Gaussian Wake Model

Fernando Porté Agel, Nicolas Otto Kirchner Bossi

Wind Farm Layout Optimization (WFLO) can be useful to minimize power losses associated with turbine wakes in wind farms. This work presents a new evolutionary WFLO methodology integrated with a recently developed and successfully validated Gaussian wake mo ...

2018