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Alessandro Croce
Researcher at Polytechnic University of Milan
Publications - 93
Citations - 1758
Alessandro Croce is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Wind power & Turbine. The author has an hindex of 21, co-authored 82 publications receiving 1398 citations. Previous affiliations of Alessandro Croce include Technische Universität München & University of Milan.
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Journal ArticleDOI
Future emerging technologies in the wind power sector: A European perspective
Simon J. Watson,Alberto Moro,Vera Reis,Charalampos Baniotopoulos,Stephan Barth,Gianni Bartoli,Florian Bauer,Elisa Boelman,Denis Bosse,Antonello Cherubini,Alessandro Croce,Lorenzo Fagiano,Marco Fontana,Adrian Gambier,Konstantinos Gkoumas,Christopher Golightly,Mikel Iribas Latour,Peter Jamieson,John K. Kaldellis,Andrew Macdonald,Jimmy Murphy,Michael Muskulus,Francesco Petrini,Luca Pigolotti,Fleming Rasmussen,Philippe Schild,Roland Schmehl,Nafsika Stavridou,John Olav Giæver Tande,Nigel Taylor,Thomas Telsnig,Ryan Wiser +31 more
TL;DR: In this article, an expert view from Europe of future emerging technologies within the wind energy sector considering their potential, challenges, applications and technology readiness and how they might evolve in the coming years is presented.
Proceedings ArticleDOI
Wind tunnel testing of wake control strategies
TL;DR: Results from wind tunnel tests aimed at evaluating the potential of different wake control strategies for wind farm power maximization and load reduction are presented, highlighting the most promising ones.
Journal ArticleDOI
Wind tunnel testing of a closed-loop wake deflection controller for wind farm power maximization
Filippo Campagnolo,Vlaho Petrović,Johannes Schreiber,Emmanouil M. Nanos,Alessandro Croce,Carlo L. Bottasso,Carlo L. Bottasso +6 more
TL;DR: In this article, a closed-loop wind farm controller for wind farm power maximization by wake deflection was evaluated in a large boundary layer wind tunnel, using three servo-actuated and sensorized wind turbine scaled models.
Journal ArticleDOI
Multi-disciplinary constrained optimization of wind turbines
TL;DR: In this article, the authors describe procedures for the multi-disciplinary design optimization of wind turbines, where design parameters are optimized by maximizing a merit function, subjected to constraints that translate all relevant design requirements.