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09.04.2013 14:38

Vortrag von Prof. Dr. Carlo L. Bottasso am 17. April 2013

Modeling, Design and Testing of Wind Energy Systems

Prof. Dr. Carlo L. Bottasso

Im Rahmen der Veranstaltung "Simulationsmethoden für Windkraftanlagen" findet

Vortrag „Modeling, Design and Testing of Wind Energy System

von Prof. Dr. Carlo L. Bottasso, Politecnico di Milano,

am 17. April 2013 von 16:00 bis 17:30 Uhr

an der Universität Kassel, Mönchebergstraße 7, Hörsaal 400

statt.

 

Abstract:

The design of the next generation wind turbines poses signi cant modeling and simulation challenges. For example, it is expected that the exploitation of o -shore resources will be achieved by very large wind turbines in the 10-20 MW class, featuring rotors well in excess of 150 meters of diameter mounted on oating support structures. This requires the ability to model non-linear aero-hydro-servoelastic systems over a wide range of frequencies, to assess their stability, to compute their transient response in many di erent turbulent wind and sea conditions, including emergencies and extreme events. This is spurring a new wave of development of models and methods that improve on the capabilities that have supported so far the design of wind turbines. One crucial aspect of these developments is the need to validate and calibrate the simulation tools, so as to understand their accuracy and their limits. This in turn will allow designers to explore with con dence the design space in the search of better solutions that lower the cost of energy. In this talk we will introduce the wind power simulation needs, and then review the state-of-the-art in modeling and simulation. Next, we will discuss the problem of validation and calibration. The talk will speci cally highlight the role that can be played in this process by the wind tunnel testing of advanced aeroelastically scaled and actively controlled wind turbine models. Such models expand the scope of wind tunnel testing, typically limited to the sole study of aerodynamic phenomena, and yield valuable data to be used for the validation/calibration of advanced multi-physics simulation tools.