Assessment of Potential Offshore Wind Speed in Indonesia Using Weibull, Nakagami, and Rayleigh Distributions
نویسندگان
1 Department of Informatics, Universitas Hasanuddin, Jl. Poros Malino Km.6 Bontomarannu, Gowa, Sulawesi Selatan, Indonesia
2 Department of Electrical Engineering, Universitas Hasanuddin, Jl. Poros Malino Km.6 Bontomarannu, Gowa, Sulawesi Selatan, Indonesia
3 Department of Electrical Engineering, Universitas Hasanuddin, Jl. Poros Malino Km.6 Bontomarannu, Gowa, Sulawesi Selatan, Indonesia
4 Department of Electrical Engineering, Universitas Hasanuddin, Jl. Poros Malino Km.6 Bontomarannu, Gowa, Sulawesi Selatan, Indonesia
5 Department of Electrical Engineering, Universitas Hasanuddin, Jl. Poros Malino Km.6 Bontomarannu, Gowa, Sulawesi Selatan, Indonesia
6 Department of Electrical Engineering, Universitas Hasanuddin, Jl. Poros Malino Km.6 Bontomarannu, Gowa, Sulawesi Selatan, Indonesia
doi
10.5829/ijee.2026.17.03.06چکیده
Indonesia's abundant renewable energy is wind, with a potential of 155 GW, although only 0.15 GW is currently utilized. This study aims to determine the distribution of wind speed data and the cumulative wind energy production at several potential offshore locations in Indonesia, such as Jeneponto, Banda Aceh, and Kaliantan Lombok. The research methodology utilizes the Weibull, Nakagami, and Rayleigh distributions to assess wind potential by estimating the parameters and calculating the R2 and RMSE tests. The Weibull distribution has the calculation results closest to the observation results, with an R2 of 0.997 and an RMSE of 0.0117 at Jeneponto. The Rayleigh distribution in Banda Aceh shows the calculation results closest to the observation results, with an R2 of 0.993 and an RMSE of 0.0338. Meanwhile, in Kaliantan Lombok, the Weibull distribution is superior in calculating the R2 of 0.996, while the Rayleigh distribution is superior in the RMSE of 0.0268. The cumulative wind energy production is calculated to show which distribution methods closest to the observation data. The results of error deviation from the cumulative energy production indicate that the Weibull distribution is the best option to assess the offshore wind project location in Indonesia, with the error between 0.028 and 0.087 compared to Nakagami and Rayleigh distribution methods.
