Projet zEPHYR (Horizon 2020, appel à projets 2019)
Action : Doctoral Networks
Panel : Information Science and Engineering
Statut du projet : SIGNED

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.

Mots clés : horizontal axis wind turbine, vertical axis wind turbine, diffuser augmented wind turbine, building integrated wind turbine, aeroacoustics, aeroelasticity, human factors, optimization, flow control

Participants :
- Siemens (Belgium) (Belgique) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 468552.96 €
- National Technical University of Athens (Grèce) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 243017.64 €
- Polish Academy of Sciences (Pologne) — Partner, beneficiary, Recherche, subvention : 454957.2 €
- Universidad Politécnica de Madrid (Espagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 501809.76 €
- Delft University of Technology (Pays-Bas) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 442699.8 €
- National University of the Littoral (Argentine) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Centre scientifique et technique du bâtiment (France) — Partner, beneficiary, Recherche, subvention : 137401.02 €
- Wageningen University & Research (Pays-Bas) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 265619.88 €
- University of Twente (Pays-Bas) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 265619.88 €
- Siemens (Denmark) (Danemark) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 99174.0 €
- Von Karman Institute for Fluid Dynamics (Belgique) — Coordinator, beneficiary, Recherche, subvention : 596712.96 €
- Nottingham Trent University (Royaume-Uni) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 303172.56 €