Projektbeschreibung
Anordnung von Windkraftanlagen zur verbesserten Energieerzeugung
Um die wachsende Nachfrage nach umweltfreundlichen Energiequellen decken zu können, suchen Nationen und Einrichtungen auf der ganzen Welt nach Möglichkeiten, so viel günstige Energie wie möglich zu erzeugen. Dieses Anliegen macht Windenergie besonders beliebt, allerdings beruht deren Leistung auf ihrem Standort und ihrer Anordnung. Das EU-finanzierte Projekt zEPHYR zielt darauf ab, eine Plattform zu erschaffen, die zu besseren Entscheidungen darüber führt, wo Windkraftanlagen eingesetzt werden sollten, um die Energieerzeugung zu maximieren. Dafür sollen fortgeschrittene atmosphärische Modelle und Daten im Meso- und Mikrobereich über die Auswirkungen auf tatsächliches Gelände sowie lokale atmosphärische Modelle zur Ermittlung idealer Standorte für Windkraftanlagen implementiert werden.
Ziel
The rise of a low-carbon society, compatible with economic growth and environmental sustainability, is pending on a number of technological evolutions and breakthroughs. In that line, the role played by wind energy is deemed to increase further in the next decades. The development of performant wind farms is pending upon the performance of each turbine composing the wind farm, and on the optimal harvesting of the local wind resources. A wind park performance is nowadays predicted assuming standard profiles of mean incoming velocity, turbulence intensities and scales, etc. corresponding to standard terrain topographies and atmospheric conditions.
One main limitation of such standards is that the assumed flow and turbulence properties were established to fit databases gathered on a limited number of locations, which are by definition not representative of the quite various terrain configurations nor local micro-meteorological situations that can be met in practice. This is a concern for complex terrains and is furthermore hampering the implementation of wind turbines in urban environments, which constitutes nevertheless an important component of future environmentally-friendly Smart Cities thanks to the favorable local flow accelerations, pressure build-up, canyon effects, etc. offered by an urban canopy.
The ambition of this multi-disciplinary training platform is the development and application of advanced meso/microscale atmospheric models and the assessment of the impact of real terrain and local atmospheric effects on the predicted aerodynamic performance, structural dynamics and noise emissions. Obviously, human factors become a critical issue when considering implementing wind turbines in densely populated urban environments. The inter-dependencies between those factors (visual vs. acoustic effects, age or occupation, etc.), which complicate further the analysis of the motivations for a community to endorse or reject a new project, will be addressed as well.
Wissenschaftliches Gebiet
- engineering and technologycivil engineeringurban engineeringsmart cities
- natural sciencescomputer and information sciencesdatabases
- natural sciencesphysical sciencesastronomyplanetary sciencesplanetary geology
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energywind power
- social sciencespsychologyergonomics
Schlüsselbegriffe
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenFinanzierungsplan
MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)Koordinator
1640 Sint-Genesius-Rode
Belgien