Giorgio Demurtas
Technical University of Denmark
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Featured researches published by Giorgio Demurtas.
5th International Conference on The Science of Making Torque from Wind 2014 | 2014
Troels Friis Pedersen; Giorgio Demurtas; Anders Sommer; Jørgen Højstrup
The measurement of inflow to a wind turbine rotor was made with a spinner anemometer on a 2 MW wind turbine in a wind farm of eight wind turbines. The wind speed, yaw misalignment and flow inclination angle was measured during a five months measurement campaign. Angular measurements were calibrated by yawing the wind turbine in and out of the wind in stopped conditions. Wind speed was calibrated relative to a met mast in a wake-free wind sector during operation. The calibration measurements were used to determine the basic k1 and k2 constants of the spinner anemometer and a four parameter induction factor function. Yaw measurements and turbulence measurements, where the average wind speed was corrected to the far field with the induction function, showed good correlation with mast measurements. The yaw misalignment measurements showed a significant yaw misalignment for most of the wind speed range, and also a minor symmetric yaw misalignment pattern. The flow inclination angle showed slight variation of inflow angle with wind speed and clear wake swirl patterns in the wakes of the other wind turbines. Turbulence intensity measurements showed clear variations from low turbulence in the wake-free wind sector to high turbulence in the wakes of the other wind turbines.
Wind Energy Science Discussions | 2016
Giorgio Demurtas; Troels Friis Pedersen; Rozenn Wagner
The objective of this investigation was to verify the feasibility of using the spinner anemometer calibration and nacelle transfer function determined on one reference turbine, to assess the power performance of a second identical turbine. An experiment was set up with a met-mast in a position suitable to measure the power curve of the two wind turbines, both equipped with a spinner anemometer. An IEC 61400-12-1 compliant power curve was then measured for both turbines using the met-mast. The NTF (Nacelle Transfer Function) was measured on the reference turbine and then applied to both turbines 5 to calculate the free wind speed. For each of the two wind turbines, the power curve (PC) was measured with the met-mast and the nacelle power curve (NPC) with the spinner anemometer. Four power curves (two PC and two NPC) were compared in terms of AEP (Annual Energy Production) for a Rayleigh wind speed probability distribution. For each turbine, the NPC agreed with the corresponding PC within 0.10% of AEP for the reference turbine and within 0,38% for the second turbine, for a mean wind speed of 8 m/s. 10
Wind Energy | 2016
Giorgio Demurtas; Troels Friis Pedersen; Frederik Zahle
Wind Energy | 2015
Troels Friis Pedersen; Giorgio Demurtas; Frederik Zahle
Wind Energy Science Discussions | 2016
Giorgio Demurtas; Nick Gerardus Cornelis Janssen
Archive | 2016
Giorgio Demurtas; Troels Friis Pedersen; Rozenn Wagner
Archive | 2016
Troels Friis Pedersen; Rozenn Wagner; Giorgio Demurtas
Archive | 2015
Giorgio Demurtas
Archive | 2014
Giorgio Demurtas; Troels Friis Pedersen
European Wind Energy Conference & Exhibition 2014 | 2014
Giorgio Demurtas; Troels Friis Pedersen