Abstract
The adaptive dynamic mesh, user-defined functions, and six degrees of freedom (6DOF) solver provided in ANSYS FLUENT 14 are engaged to simulate the activating processes of the rotor of the Grumman WS33 wind system. The rotor is activated from stationary to steady operation driven by a steady or periodic wind flow and its kinematic properties and power generation during the activating processes. The angular velocity and angular acceleration are calculated directly by the post-processed real-time 6DOF solver without presuming a known rotating speed to the computational grid frame. The maximum angular velocity of the rotor is approximately proportional to the driving wind speed, and its maximal angular acceleration is also closely proportional to the square of the driving wind speed. The evolution curves of the normalized rotor angular velocities and accelerations are almost identical due to the self-similarity properties of the rotor angular velocities and accelerations. The angular velocity of the rotor will reach its steady value. One can use these steady angular velocities to predict the mechanical power generations of the rotor. The momentum analysis theory and the blade element momentum method are applied to predicted power generations and reveal good agreements with experimental data in the low wind speed range.
Highlights
Power generation by oil and coal is currently the primary energy/electricity source globally, and a tremendous amount of carbon dioxide is produced during power generating processes, which increases global warming and extreme weather due to the greenhouse effect
The adaptive dynamic mesh, user-defined functions, and six degrees of freedom solver provided in ANSYS FLUENT 14 were engaged in the present study to simulate the passive rotating process of a rotor transiently without using the combination of conventional moving reference frame (MRF) and experimentally obtained rotational speed of the rotor to proceed with the CFD simulation as in previous research
The dynamic behaviors and power generation of the rotor attached to the Grumman WS33 wind system during the activating process from a stationary state are shown as a sample task
Summary
Power generation by oil and coal is currently the primary energy/electricity source globally, and a tremendous amount of carbon dioxide is produced during power generating processes, which increases global warming and extreme weather due to the greenhouse effect. These figures indicate that self-similarity properties exist in the rotor angular velocity and angular acceleration processes when the driving wind speed is not the same.
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