Investigation and statistical analysis of electrical energy production from the wind farm

Author:

Alghamdi Mohammed I.1ORCID,Candra Oriza2ORCID,Sari Arif3,Muda Iskandar45,Ali Mujtaba Zuhair6ORCID,Mohsen Karrar Shareef7,Morovati Reza8ORCID,Bagheri Behnam9ORCID

Affiliation:

1. Department of Computer Science, Al-Baha University 1 , Al-Baha City, Kingdom of Saudi Arabia

2. Department Teknik Elektro, Universitas Negeri Padang 2 , Padang, Indonesia

3. Department of Management Information Systems, Girne American University 3 , Kyrenia, North Cyprus Via Mersin 10, Türkiye

4. Department of Doctoral Program, Faculty Economic and Business Universitas Sumatera Utara 4 , Medan 20222, Indonesia

5. Jl. Prof TM Hanafiah 12, USU Campus 5 , Padang Bulan, Medan, Indonesia

6. College of Technical Engineering, Computer Technical Engineering, The Islamic University 6 , Najaf, Iraq

7. Information and Communication Technology Research Group, Scientific Research Center, Al-Ayen University 7 , Thi-Qar, Iraq

8. Department of Mechanics, Kabul University 8 , Kabul City, Afghanistan

9. Department of Geography, Payame Noor University 9 , Tehran, Iran

Abstract

Today, the use of wind energy by wind turbines has grown significantly, and this development is due to the production of required energy and tourism attraction of wind turbines. But according to the standard technologies used in this industry, the operating costs are very high. For this reason, before the construction of wind farms, potential measurements should be done along with economic analysis. Therefore, in this research, a statistical analysis of wind farms has been done. In the statistical analysis, Weibull and Rayleigh distribution functions were used to predict the wind speed of the studied area. MATLAB software is used to model prediction functions. Among the important results of wind speed prediction by the Weibull distribution function, it can be mentioned that the wind speed is variable between 0.6 and 7 m/s in the studied area. The total power density and wind energy in the 10 years are equivalent to 28 W/m2 and 810/0534 kWh/m2 at the height of 10 m calculated.

Publisher

AIP Publishing

Subject

General Physics and Astronomy

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