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CANONICAL PROBABILITY DENSITY FUNCTION pk* (V∞ ) WHICH CHARACTERIZES THE CHANGE IN WIND SPEED WITH RESPECT TO TIME V∞ (t)
https://doi.org/10.15518/isjaee.2016.05-06.004
Abstract
The annual wind energy potential depends on two factors: the random annual density function of probability and random values of annual maximum wind speed . These random factors are characterized by a large statistical dispersion. Large statistical dispersion may lead to such a fact that the use of deterministic algorithms to optimize the parameters of the planned wind turbines in the presence of this statistical dispersion can have to unpredictable results. For the design process of wind turbines, the universal canonical density function of probability pk (V∞ ) was built. We conducted a comparative analysis of characteristics, which were calculated using the canonical density function of probability, such as potential of wind power, the function of the stored energy and time operation of the wind power plant at different characteristic modes. The study shows that the canonical density function of probability quite represents basic properties of wind energy. It can be used in solving the problems of determining the parameters of wind power plants and rid the process of selecting these options from the influence of the random component of wind energy.
About the Author
S. G. Ignatiev
The Central Aerohydrodynamic Institute Named after N.E. Zhukovsky (TsAGI) 1 Zhukovsky str., Zhukovsky, Moscow reg., 140180, Russia
Russian Federation
Russian Federation
Ph.D. (engineering), a senior researcher of Central Aerohydrodynamic Institute (TsAGI), chief designer of Special design office “Iskra”. tel.: +7(495)556-34-31
Education: the Kharkov Aviation Institute with a degree in mechanical engineering in aircraft.
Research area: aerodynamics of subsonic aircraft, wind energy
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Review
For citations:
Ignatiev S.G. CANONICAL PROBABILITY DENSITY FUNCTION pk* (V∞ ) WHICH CHARACTERIZES THE CHANGE IN WIND SPEED WITH RESPECT TO TIME V∞ (t). Alternative Energy and Ecology (ISJAEE). 2016;(5-6):39-53. (In Russ.) https://doi.org/10.15518/isjaee.2016.05-06.004
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