Journal Name:
- International Journal of Science and Engineering Investigations
| Author Name | University of Author |
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Abstract (2. Language):
Nowadays, the raised interest for reducing fossil fuel consumption and therefore of pollution led to the development of new technologies for exploiting renewable energy sources. One of the important directions in the use of renewable energy sources is represented by the conversion of wind energy into electricity. Knowledge of wind energy resources of an area is important for the determination of its capitalizing possibilities. In this respect, the paper proposes a case study on the estimating the wind energy potential of the Braşov region, two areas being subjected to analysis. Taking into account the proposed objective, there were necessary: meteorological data processing that represents the average wind speed and frequency for each station; calculation of the average values of wind speed; the estimating of wind speed profiles; the representation of wind roses; the graphical representation of the probability density distribution of wind speed; the calculation of Weibull parameters; the approximating the probability density function using Weibull function. Tacking into consideration the fact that the wind regime is described statistically by Weibull distribution derived from the reference data, this paper also proposes an algorithm for determining the Weibull coefficients. To obtain the most accurate possible prediction of energy, the paper proposes regressions to determine the Gamma function and the shape coefficient for Weibull distribution.
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FULL TEXT (PDF):
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