Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Unveiling Inertia Constants by Exploring Mass Distribution in Wind Turbine Blades and Review of the Drive Train Parameters

Version 1 : Received: 7 August 2023 / Approved: 8 August 2023 / Online: 9 August 2023 (08:45:31 CEST)

A peer-reviewed article of this Preprint also exists.

Gonzalez-Rodriguez, A.G.; Roldan-Fernandez, J.M.; Nieto-Nieto, L.M. Unveiling Inertia Constants by Exploring Mass Distribution in Wind Turbine Blades and Review of the Drive Train Parameters. Machines 2023, 11, 908. Gonzalez-Rodriguez, A.G.; Roldan-Fernandez, J.M.; Nieto-Nieto, L.M. Unveiling Inertia Constants by Exploring Mass Distribution in Wind Turbine Blades and Review of the Drive Train Parameters. Machines 2023, 11, 908.

Abstract

In studies of dynamic stability and power quality, it is necessary to know the mechanical parameters that determine the transient response of a wind turbine. The exact value of these parameters is not as decisive as the power curve can be, but an estimate that is far from reality can distort or even invalidate the simulation results. Despite its importance, this information, especially the inertia, but also the stiffness and damping constant of the drive-train, is hardly available for the turbine model under investigation. In this work, the different bibliographical sources that provide values of blade inertia in kg·m2 will be reviewed, and above all, those that provide a distribution of masses along the span of the blade. With this, different reliable relations will be obtained that allow calculating the inertia of the turbine rotor, based on the mass and length of the blade. When the center of gravity is also available, a very correlated expression is provided to obtain the inertia. The even rarer references to the stiffness and damping constant of the drive-train will also be reviewed.

Keywords

wind turbine; inertia; mass distribution; density distribution; stiffness constant; values in p.u.

Subject

Environmental and Earth Sciences, Sustainable Science and Technology

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