Issue |
MATEC Web Conf.
Volume 184, 2018
Annual Session of Scientific Papers IMT ORADEA 2018
|
|
---|---|---|
Article Number | 02005 | |
Number of page(s) | 4 | |
Section | Mechatronics and Robotics | |
DOI | https://doi.org/10.1051/matecconf/201818402005 | |
Published online | 31 July 2018 |
Determining the optimal operating parameters of a wind system
1
Transilvania University of Brasov, Romania
2
Transilvania University of Brasov, Romania
* Corresponding author: rsaulescu@unitbv.ro
The paper main objective is to determine the representative parameters for the geometrical modeling of the speed amplifiers used in the high-capacity wind systems, taking into account the assembling and also the neighboring conditions of the satellite wheels in the planetary units. The analysis is based on a case study taken from a representative producer in this field - a speed amplifier for which is known: wind rotor diameter, type of speed amplifier and electric generator. Starting from these data and from the power curve offered by each wind device producer, the paper presents the synthesis of the number of teeth and the efficiency of such an amplifier taking into account the electrical and wind parameters (wind velocity, density air, wind rotor diameter). Based on the electrical and wind parameters, the system's power factor is determined to determine the efficiency of the speed amplifier and the wind speed at which the system can work best.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.