Kajian Potensi Turbin Angin Sumbu Horizontal Menggunakan Metode Simpangan Baku Distribusi Weibull

Dimas Muhammad Fauzan

Authors

Dimas Muhammad Fauzan Universitas Tanjungpura Author

Keywords:

wind energy, weibull distribution, standard deviation method, renewable energy

Abstract

This study evaluates the wind energy potential in West Kalimantan by utilizing annual wind speed data from the Meteorology, Climatology, and Geophysics Agency (BMKG) Supadio Pontianak, recorded from January 1 to December 31, 2024. The analysis applies the standard deviation method within the Weibull distribution to determine the shape k and scale c parameters, which are subsequently used for estimating the annual energy output of a wind turbine. Research procedures include secondary data collection, wind speed data processing, statistical analysis, Weibull parameter estimation, model validation using Mean Absolute Error (MAE), and energy potential calculation based on the turbine power curve. Results show that the average wind speed is 5.11 knots (2.63 m/s) with a standard deviation of 2.96 knots, resulting in k=1.8182 and c=5.7726 knots. The Weibull model fits the observed data well, with an MAE of 0.06666. The Aeolos-H 3 kW turbine was chosen as a case study, showing an estimated annual energy production of 261.890 kWh. These findings demonstrate that even under low to moderate wind conditions, properly selected turbines can generate meaningful electricity output. This study provides insights for small-scale renewable energy development and supports technology selection for wind power generation in low-wind-speed regions of Indonesia.

References

[1] Z. Afidah, Y. Yushardi, and S. Sudarti, “Analisis Potensi Pembangkit Listrik Tenaga Bayu dengan Turbin Angin Sumbu Vertikal di Kecamatan Sangkapura Kabupaten Gresik,” J. Engine Energi, Manufaktur, dan Mater., vol. 7, no. 1, p. 08, 2023, doi: 10.30588/jeemm.v7i1.1325.

[2] A. A. Solikah and B. Bramastia, “Systematic Literature Review : Kajian Potensi dan Pemanfaatan Sumber Daya Energi Baru dan Terbarukan Di Indonesia,” J. Energi Baru dan Terbarukan, vol. 5, no. 1, pp. 27–43, 2024, doi: 10.14710/jebt.2024.21742.

[3] Republik Indonesia, “Presidential Regulation Number 112 of 2022 (The Acceleration of Renewable Energy Development for Electricity),” Gov. Indones., no. 135413, pp. 1–37, 2022, [Online]. Available: https://peraturan.bpk.go.id/Details/225308/perpres-no-112-tahun-2022

[4] A Mulkan, “Analisis Pemanfaatan Energi Angin Sebagai Sumber Pembangkit Energi Listrik,” J. Ilm. Tek. Unida, vol. 3, no. 1, pp. 74–83, 2022, doi: 10.55616/jitu.v3i1.308.

[5] Zafira, “Cara Kerja Pembangkit Listrik Tenaga Hybrid,” Smart City Indo, vol. 8, no. 5, p. 1, 2021.

[6] Atika Ratna Dewi and Sri Handini, “Analisis Data Kecepatan Angin di Pulau Jawa Menggunakan Distribusi Weibull,” J. Stat. dan Apl., vol. 6, no. 1, pp. 130–136, 2022, doi: 10.21009/jsa.06112.

[7] Y. Yandri, K. H. Khwee, and R. Kurnianto, “Studi Komparatif Turbin Angin Berdaya Sama dengan Kurva Daya yang Berbeda Berbasis Distribusi Weibull,” J. Teknol. Elektro, vol. 15, no. 1, p. 36, 2024, doi: 10.22441/jte.2024.v15i1.007.

[8] D. P Prasetya, I. Sunaryantiningsih, and R. D. Laksono, “Analisis Potensi Pembangkit Listrik Tenaga Bayu (PLTB) Di Wisata Sumber Klampok Kabupaten Nganjuk Potential Analysis of Wind Power Plant (PLTB) in Sumber Klampok Tourism, Nganjuk Regency,” J. Keilmuan Tek., vol. 01, no. 02, pp. 151–159, 2023, [Online]. Available: http://e-journal.unipma.ac.id/index.php/SET-UP

[9] Aufar and Dani, “Perencanaan Pembangkit Listrik Tenaga Angin Sumbu Horizontal Sebagai Energi Listrik Alternatif Di Area Tambak Desa Jambo Timu,” J. Tektro, vol. 7, no. 2, pp. 216–224, 2023.

[10] M. Ali, M. K. Mridul, and A. Al Mahbub, “Comparative wind power assessment by weibull distribution function in Faridpur,” Proc. 2020 11th Int. Conf. Electr. Comput. Eng. ICECE 2020, pp. 13–16, 2020, doi: 10.1109/ICECE51571.2020.9393088.

[11] Suwarno, I. Yusuf, M. Irwanto, and A. Hiendro, “Analysis of wind speed characteristics using different distribution models in Medan City, Indonesia,” Int. J. Power Electron. Drive Syst., vol. 12, no. 2, pp. 1102–1113, 2021, doi: 10.11591/ijpeds.v12.i2.pp1102-1113.

[12] A. Indriani, G. Manurung, N. Daratha, and H. Hendra, “Perancangan Turbin Sumbu Horizontal dan Sumbu Vertikal untuk Pembangkit Listrik Tenaga Angin (Studi Kasus di Kota Bengkulu),” J. Amplif. J. Ilm. Bid. Tek. Elektro Dan Komput., vol. 9, no. 2, pp. 1–6, 2019, doi: 10.33369/jamplifier.v9i2.15376.

[13] J. F. W. Eds et al., Advances in Industrial Control, WT Modeling. 2011.

[14] S. Mathew, Windy Energy Fundamentals. 2006.

[15] M. Gilbert M, Renewable And Eficient Electric Power Sytem, vol. 11, no. 1. 2019.

[16] M. A. Alanazi, M. Aloraini, M. Islam, S. Alyahya, and S. Khan, “Wind Energy Assessment Using Weibull Distribution with Different Numerical Estimation Methods: A Case Study,” Emerg. Sci. J., vol. 7, no. 6, pp. 2260–2278, 2023, doi: 10.28991/ESJ-2023-07-06-024.

[17] H. Saputra, “Analisa Potensi Energi Angin Di Pantai Lhong Kabupaten Aceh Besar Menggunakan Distribusi Weibull,” VOCATECH Vocat. Educ. Technol. J., vol. 4, no. 1, pp. 56–64, 2022, doi: 10.38038/vocatech.v4i1.93.

[18] G. Abbas, A. Ali, M. T. Ben Othman, M. W. Nawaz, A. U. Rehman, and H. Hamam, “A novel energy pattern factor-based optimized approach for assessing Weibull parameters for wind power applications,” Sci. Rep., vol. 15, no. 1, pp. 1–14, 2025, doi: 10.1038/s41598-024-80929-7.

[19] Z. R. Shu, Q. S. Li, and P. W. Chan, “Investigation of offshore wind energy Spotential in Hong Kong based on Weibull distribution function,” Appl. Energy, vol. 156, pp. 362–373, 2015, doi: 10.1016/j.apenergy.2015.07.027.