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Nicolas Otto Kirchner Bossi

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Publications associées (9)

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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 ...

Oxford2023

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

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

Multi-rotor Wind Farm Optimization

Nicolas Otto Kirchner Bossi

2020

It is well known that turbine wakes are responsible for considerable power losses in a wind farm. In the last two decades Wind Farm Layout Optimization (WFLO) has been extendedly used to model the minimization of such wake effects in the attempt to maximiz ...

2019

In this work we have designed and implemented different Genetic Algorithms especially adapted to the Wind Farm Layout Optimization (WFLO) problem, with the goal to optimize the overall power output and electricity cable length of different Wind Farms curre ...

2018

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

Wind Farm Layout Optimization using Genetic Algorithms with a Gaussian Wake Model

Fernando Porté Agel, Nicolas Otto Kirchner Bossi