P
P. Chaviaropoulos
Researcher at National Technical University of Athens
Publications - 38
Citations - 1719
P. Chaviaropoulos is an academic researcher from National Technical University of Athens. The author has contributed to research in topics: Turbine blade & Turbine. The author has an hindex of 16, co-authored 33 publications receiving 1502 citations. Previous affiliations of P. Chaviaropoulos include National Technical University & United States Department of Energy.
Papers
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Modelling and measuring flow and wind turbine wakes in large wind farms offshore
Rebecca Jane Barthelmie,Kurt Schaldemose Hansen,Sten Tronæs Frandsen,Ole Rathmann,J.G. Schepers,W. Schlez,John D. Phillips,K. Rados,Arthouros Zervos,E.S. Politis,P. Chaviaropoulos +10 more
TL;DR: In this article, the authors compare different types of models from computational fluid dynamics (CFD) to wind farm models in terms of how accurately they represent wake losses when compared with measurements from offshore wind farms.
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Investigating Three-Dimensional and Rotational Effects on Wind Turbine Blades by Means of a Quasi-3D Navier-Stokes Solver
TL;DR: In this paper, a quasi-3D Navier-Stokes model is proposed for wind turbine blades, which is derived from the 3D primitive variable Navier Stokes equations written in cylindrical coordinates in the rotating frame of reference.
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Modeling wake effects in large wind farms in complex terrain: the problem, the methods and the issues
E.S. Politis,John Prospathopoulos,D. Cabezon,Kurt Schaldemose Hansen,P. Chaviaropoulos,Rebecca Jane Barthelmie +5 more
TL;DR: In this article, compositional fluid dynamic (CFD) methods are used to predict the power production from entire wind farms in complex terrain and to shed some light into the wake flow patterns.
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Upscaling Wind Turbines: theoretical and practical aspects and their impact on the cost of energy
TL;DR: In this article, a theoretical framework for optimal design of large wind turbines is developed, with the introduction of generic models for the costs, as functions of the design parameters and using basic upscaling laws adjusted for technology improvement effects.