| Issue |
MATEC Web Conf.
Volume 164, 2018
The 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017)
|
|
|---|---|---|
| Article Number | 01016 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/matecconf/201816401016 | |
| Published online | 23 April 2018 | |
Optimization Twist Angle of Darrius Wind Turbine with Computational Fluid Dynamics (CFD) Simulation for Highway Area Application
Department of Mechanical Engineering, Universitas Pancasila, Jl. Raya Lenteng Agung Timur No. 56-80, Jakarta, 12640, Indonesia
* Corresponding author: ismail2k7@gmail.com
The research conducted to analyze and optimization of Darrius wind turbine based on air velocity and twist angle blade which can influence of turbine torque, turbine rotation speed and turbine power capacity. The method of research uses three steps that is the air velocity observation, wind turbine design, and simulation of wind turbine design. The twist angle as a variable parameter has degree angle of 0° and 30°. The result showed that the Darrius wind turbine with the twist angle of 30° which has chosen has the torque value is 0.285 N m that capable to increase the rotation speed is 6.42 rpm, and generate the turbine power capacity is 0.221 W. The research will be continuing to data validation with the result of pilot scale experiment.
Key words: Darrius wind turbine / Power capacity / Rotation speed / Torque / Twist angle
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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.