Analysis of wind speed characteristics using different distribution models in Medan City, Indonesia
Autor: | Ayong Hiendro, M. Irwanto, Suwarno Suwarno, Ismail Yusuf |
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Rok vydání: | 2021 |
Předmět: |
Gamma distribution
Wind power Exponential distribution Scale (ratio) business.industry Cumulative distribution function Astrophysics::High Energy Astrophysical Phenomena Energy Engineering and Power Technology Cumulative probability Probability density function Wind speed Statistics Physics::Space Physics Weibull Electrical and Electronic Engineering business Wind energy Physics::Atmospheric and Oceanic Physics Mathematics Weibull distribution |
Popis: | Estimating wind speed characteristics plays an essential role in designing a wind power plant at a selected location. In this study, the Weibull, gamma, and exponential distribution models were proposed to estimate and analyze the wind speed parameters and distribution functions. Real measured data were collected from Medan City, Indonesia. The scale and shape factors of wind distribution for three years data were calculated. The observed cumulative probability of the three models was compared to predicted wind characteristics. The probability density function (PDF) and the cumulative density function (CDF) of wind speed were also analyzed. The results showed that the Weibull model was the best model to determine PDF, while the exponential model was the best model to determine CDF for the Medan City wind site. |
Databáze: | OpenAIRE |
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