@article{(Open Science Index):https://publications.waset.org/pdf/10002346,
	  title     = {A Stochastic Approach to Extreme Wind Speeds Conditions on a Small Axial Wind Turbine},
	  author    = {Nkongho Ayuketang Arreyndip and  Ebobenow Joseph},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, to model a real life wind turbine, a
probabilistic approach is proposed to model the dynamics of the
blade elements of a small axial wind turbine under extreme stochastic
wind speeds conditions. It was found that the power and the torque
probability density functions even-dough decreases at these extreme
wind speeds but are not infinite. Moreover, we also fund that it
is possible to stabilize the power coefficient (stabilizing the output
power)above rated wind speeds by turning some control parameters.
This method helps to explain the effect of turbulence on the quality
and quantity of the harness power and aerodynamic torque.},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {9},
	  number    = {8},
	  year      = {2015},
	  pages     = {1544 - 1548},
	  ee        = {https://publications.waset.org/pdf/10002346},
	  url   	= {https://publications.waset.org/vol/104},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 104, 2015},
	}