Evaluation and Analysis of Wind Speed with the Weibull and Rayleigh Distribution Models for Energy Potential Using Three Models

Muhammad Fitra Zambak, Catra Indra Cahyadi, Jufri Helmi, Tengku Machdhalie Sofie and Suwarno Suwarno
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Muhammad Fitra Zambak: Department of Electrical Engineering, Universitas Muhammadiyah Sumatera Utara, Indonesia
Catra Indra Cahyadi: Department of Electrical Engineering, Universitas Muhammadiyah Sumatera Utara, Indonesia; Politeknik Penerbangan Medan, Indonesia
Jufri Helmi: Department of Electrical Engineering, Universitas Muhammadiyah Sumatera Utara, Indonesia
Tengku Machdhalie Sofie: Department of Electrical Engineering, Universitas Muhammadiyah Sumatera Utara, Indonesia
Suwarno Suwarno: Department of Electrical Engineering, Universitas Muhammadiyah Sumatera Utara, Indonesia

International Journal of Energy Economics and Policy, 2023, vol. 13, issue 2, 427-432

Abstract: Medan has a tropical climate and has the potential to support additional renewable energy, one of which is wind energy. Analysis of wind speed in Medan in particular has not been conducted to determine the potential for renewable energy. Research on wind speed in Medan, which ranges from 3.5m/s to 7.5m/s, has been carried out, but its potential has not been analyzed and evaluated. This study was conducted to analyze the shape factor and scale for wind speed using the Weibull and Rayleigh distribution, and three evaluation models were proposed, namely the correlation coefficient (R2), Chi-Square (?2), and Root mean square error (RMSE). Wind speed data that is used to analyze and evaluate obtained from the Meteorology, Climatology, and Geophysics Agency for a period of three years, 2017 to 2019 in Medan. The probability density distribution function (Pdf) is described based on the shape (k) and scale (c) parameters obtained from the above data analysis. These two parameters are very important to be observed related to the potential of electrical energy produced in a place or area. The analysis result shows that Weibull is better than Rayleigh distribution based on Pdf. Meanwhile statistical analysis, Weibull distribution is better than Rayleigh distribution based on R2. But on the other hand, the Rayleigh distribution is better than the Weibull distribution based on Chi-Square and RMSE. In addition to the analysis and evaluation, the potential for wind energy to be obtained is around 79.5 Watt/m2.

Keywords: Wind speed; Pdf; Weibull and Rayleigh distribution; wind energy potential; R2; ?2; and RMSE (search for similar items in EconPapers)
JEL-codes: C25 C36 C44 C93 L94 Q42 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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