Performance of Wind Power Plant in West Kalimantan, Indonesia
DOI:
https://doi.org/10.26418/jp.v6i3.42748Keywords:
Normal meteorological standard, wind speed, reanalysis, wind power potential, HOMER simulationAbstract
The aim of this paper is threefold. First, to calculate the correction factors based on existing meteorological station positions and its extension according to the basic map of West Kalimantan. Second, to reanalysis, the wind speeds from satellite measurements of national oceanic, and atmospheric administration (NOAA) and physical sciences division (PSD) in West Kalimantan by calculating its resultant and applying correction factor to create a map of wind power potential in West Kalimantan. Last, to apply the highest corrected wind speeds using HOMER simulation to know the wind energy potential. Conclusions have extracted the characteristics of wind speed variability over West Kalimantan, and HOMER simulation results of the highest wind speed.References
REFERENCE
Ministry of Energy and Mineral Resources, “Decision of the Minister of Energy and Mineral Resources of the Republic of Indonesiaâ€, No. 5899.K/20/MEM/2016 on Ratification of Electrical Power Provision Effort Plan of PT. PLN (Persero) from 2016 to 2025, 2016.
Presidential Decree of the Republic of Indonesia Number 61, “National Greenhouse Gas Emission Reduction Action Planâ€, 2011.
Directorate General of New Renewable Energy and Energy Conservation of the Ministry of ESDM (Ditjen EBTKE), “New Energy and Renewable Energy Potentials in Indonesia Outlook Energy 2009â€, Jakarta: National Board of Energy, 2018.
U.Z. Adlina, A. Ihwan, and Apriansyah, “Potensi Energi Listrik Tenaga Angin di Kota Pontianakâ€, Vol. VI (01), Prisma Fisika, pp.22-25, 2018.
K. E. Bawan, “Kajian Potensi Energi Angin Kabupaten Kaimana Provinsi Papua Baratâ€, Vol. 6 (2), Natural, 2007, pp. 69-73.
A. Sam and D. Patabang, “Studi Potensi Energi Angin di Kota Palu untuk Membangkitkan Energi Listrikâ€, Vol. 3 (1), Jurnal SMARTek, pp. 21-26, 2005.
GIS (Geographic Information System) Geography 2000, “Inverse Distance Weightingâ€, Available: http://gisgeographyy.com/
World Meteorological Organization, “WMO Guideline on the Calculation of Climate Normalâ€, Geneva: World Meteorological Organization, 2017.
World Meteorological Organization (WMO-TD/No.341), “Calculation of Monthly and Annual 30 –Year Standard Normalâ€, Washington, DC: World Climate Programmed Data, 1989.
Y. F. Kusuma and Sulistya, “Pengukuran Kecepatan Angin di Dalam dan di Sekitar Model Stasiun Menggunakan Constant Temperature Anemometerâ€, Journal of Aero Technology, Vol. 1 (2), pp. 19-27, 2018.
V. P. Chauhan, “Additive versus Multiplicative Precorection of Diary Records for Some Environmental Effect in Site Evaluationâ€, Journal of Dairy Science, Vol. 71, pp. 195-203, 1988.
C. K. Brown and D. F. Warne, “An Analysis Potential for Wind Energy Production in North-Western Ontario in Wind Power Reportâ€, Canada: Ontario Research Foundation, 1981.
F. Z. Setiawati, F. Aditya, and N. Hidayanto, “Pembuatan Faktor Koreksi Data NCEP/NOAA dengan Data Observasi untuk Mengisi Data Kosongâ€, Megasains, Vol. 10 (2), pp. 9-15, 2019.
Air Force Weather Agency Training Division, “Air Force Weather Qualification Training Package: Analysis and Prognosis Trainee Workbookâ€, Nebraska: Air Force Base, 2000.
Ryski, “Kajian Kelayakan Potensi Energi Angin Pada Kawasan Universitas Tanjungpura Pontianak Untuk Dimanfaatkan Menjadi Energi Listrikâ€, Jurnal Teknik Elektro Untan, Vol. 1, No.1, 2013.
R. U. Irene, Muh. Ishak Jumarang, and Apriansyah, “Perhitungan Potensi Energi Angin di Kalimantan Baratâ€, Prisma Fisika, Vol. VI, No. 01, pp. 65-69, 2018.
