DOI : https://doi.org/10.18517/ijaseit.10.6.11340

Influences of the Temperature Variations in the Gondola of the Goldwing S50/750 Wind

Yorley Arbella Feliciano (1), Carlos A. Trinchet (2), Javier A. Vargas (3), Leandro L. Lorente-Leyva (4)
(1) Universidad de Holguín, Holguín, Cuba
(2) Universidad de Holguín, Holguín, Cuba
(3) Universidad de los Llanos, Villavicencio, Colombia
(4) SDAS Research Group, Urcuquí, Ecuador
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How to cite (IJASEIT) :
Arbella Feliciano, Yorley, et al. “Influences of the Temperature Variations in the Gondola of the Goldwing S50 750 Wind”. International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 6, Dec. 2020, pp. 2634-9, doi:10.18517/ijaseit.10.6.11340.
Citation Format :
The use of wind energy is a decisive factor for human development, associated with the environment and capacity of people exploiting this vital resource. The investigation is part of predicting the behavior of the temperatures inside the nacelle of the Goldwind wind turbines S50 / 750 models installed in the Gibara Wind Farm. It supports its theories and analysis of computer-aided design (CAD), by monitoring the working temperatures, which interact with the forced ventilation system in the studied devices. The values analyzed result from continuous measurements carried out by the SCADA systems (Supervisory Control and Data Acquisition) of the studied machines. Which allows the diagnosis and early visualization of unforeseen incipient failures that currently occur under operating conditions standardized by the manufacturer. When the wind reaches speeds that exceed 11.5 m/s, major aggregates such as the gearbox and the generator fail. The results obtained in the investigation will allow to correct the program in the PLC (Logical Control Program) for the start-up and stop of the cooling system of the wind turbines in order to generate an ideal thermal balance for the working condition activities in Cuba, inside the nacelle, reducing the frequent occurrence of critical temperature values in the maximum limit that put the wind turbines out of service and therefore providing the wind farm with a higher coefficient of technical availability. 

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