Wind turbine wake tracking and its correlations with wind turbine monitoring sensors. Preliminary results
| Autor: | E. Torres Garcia, Sandrine Aubrun, M. Boquet, N. Girard, O. Coupiac |
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| Přispěvatelé: | Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique (PRISME), Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
History
Engineering Wind power 010504 meteorology & atmospheric sciences Meteorology Nacelle business.industry Turbulence Ranging Wake 7. Clean energy 01 natural sciences Turbine 010305 fluids & plasmas Computer Science Applications Education Lidar 0103 physical sciences Inclinometer [PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph] business ComputingMilieux_MISCELLANEOUS 0105 earth and related environmental sciences |
| Zdroj: | Torque Torque, Jun 2018, Milano, Italy. pp.032003, ⟨10.1088/1742-6596/753/3/032003⟩ |
| DOI: | 10.1088/1742-6596/753/3/032003⟩ |
| Popis: | Within the frame of the French project ANR SMARTEOLE, a 6-month measurement campaign has been set-up in the north of France to study the wake behaviour of two wind turbines, with an original set-up using: one ground based scanning LIght Detection And Ranging system (LIDAR), 2 nacelle-mounted LIDARs and a nacelle-embedded 2-axis inclinometer. The present paper will give first insight into the results and describe the different post-processing strategies used to prepare the data to be cross-correlated; within the project the final objective is to characterise the influence of the large-scale atmospheric turbulent eddies on the overall wind turbine nacelle displacement and wind turbine wake behaviour. |
| Databáze: | OpenAIRE |
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