Nicolas Kirchner-Bossi

• Doctor of Philosophy
• Research Associate at Swiss Federal Institute of Technology in Lausanne

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 closest to the turbines. Here, with the aim to further capture the underlying atmospheric processes ru...

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 top-unconstrained Z-coordinate (XYZ-WFLO), applied to different power densities (PD) and using...

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, remains highly uncertain. This is a particular concern for our infrastructure networks, as increasing storm-related damage to these vital lifelines has significant co...

Background: Plasma rich in growth factors (PRGF) is a leukocyte-free platelet-rich plasma (PRP) that is an effective biological approach to tissue repair and has been demonstrated to significantly improve multiple conditions, including low back pain and degenerative disc pathology. Objectives: The objective of this retrospective study was to ana...

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 solutions in an optimization problem, in this work the WFLO problem that grants total freedom to t...

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 farm optimization algorithm, for different power densities. The EPFL analytical wake model is...

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 model (Bastankhah and Porté-Agel model). Two different parametrizations of the evolutionary meth...

Winter windstorms are known to be among the most dangerous and loss intensive natural hazards in Europe. In order to gain a better understanding of their variability and driving mechanisms, this study analyses the temporal variability which is often referred to as serial or seasonal clustering. This is realized by developing a statistical model rel...

Worldwide, the exposure of civil engineering infrastructures to extreme weather results in frequent and catastrophic interruption of vital services. This typically occurs at spatial scales that exceed by far those of isolated faults, with networked infrastructures being affected more by the lack of systemic integrity than by local malfunctions. Sys...

The study of the wind power output variability comprises different time scales. Among these, low-frequency variations can substantially modify the performance of a wind power plant during its lifetime. In recent years, other temporal scales such as the short-term variability or the climatological conditions of wind and the corresponding generated p...

A wind clustering methodology capable of dynamically characterizing and long-term reconstructing daily surface wind series is introduced and tested for six meteorological towers at different wind farms in Spain, for the period 1871–2009. On this basis this paper provides for the first time a centennial surface wind reconstruction with a daily resol...

Two methods for establishing a daily wind-characterizing surface flux classification are introduced and compared in this work. They are based on several geostrophic flow indexes and have been derived from a NCEP/NCAR reanalysis of Mean Sea Level Pressure data (MSLP). In the task of parametrization and design of wind pattern classifiers, several sof...

This paper presents an evolutionary algorithm for wind speed reconstruction from synoptic pressure patterns. The algorithm operates in a search space formed by grids of pressure measures, and must classify the different situations into classes, in such a way that a measure of wind speed in a given point is minimized among patterns assigned to the s...

In this paper we present an evolutionary approach for the problem of discovering pressure patterns under a quality measure related to wind speed and direction. This clustering problem is specially interesting for companies involving in the management of wind farms, since it can be useful for analysis of results of the wind farm in a given period an...

The knowledge of wind behavior can be particularly important when modeling the efficiency and operability of systems for wind energy conversion. In this paper the characteristics of wind in the region of Central Patagonia (Argentina) on both short and long time scales are analyzed. In order to attain this goal, real data sets for a period of 53 yea...