Assessment of Wind Energy Potential in Kolaka Using Era5-land Reanalysis Data

Authors

  • Danu Triatmoko Program Studi Fisika, Program Pascasarjana, Universitas Negeri Makassar
  • Muhammad Arsyad hysics Study Program, Postgraduate Program, Universitas Negeri Makassar
  • Pariabti Palloan Physics Study Program, Postgraduate Program, Universitas Negeri Makassar

DOI:

https://doi.org/10.46799/adv.v2i9.284

Keywords:

Reanalysis data, ERA5-Land, wind power density, wind energy potential

Abstract

This research aims to evaluate the potential for wind energy in Kolaka Regency using ERA5-Land reanalysis data from the output of the European Center for Medium-Range Weather Forecasts (ECMWF) model, which has a spatial resolution of 9 km with hourly temporal resolution for the period of 2001 to 2020. This research also compared the quality of ERA5-Land reanalysis wind speed data on data from nearby meteorological stations using statistical assessment methods. The analysis results reveal that the highest average wind speed is discovered at a height of 80 to 150 meters with a range of 4.99 to 5.93 m/s. The spatial distribution map of wind power density indicates that the energy potential at a height of 80 to 150 meters can reach 60 to 170 W/m2. The largest wind energy potential in Kolaka Regency can be generated in the DJF period (December-January-February) with the highest average monthly wind power density in January and the JJA period (June-July-August) with the highest average in July. In general, Kolaka Regency can be classified as an area with first-class wind energy potential, so it tends to be more suitable for the development of small-scale power plants. The suitable locations for developing small-scale wind power plants in Kolaka Regency are the southern Pomalaa coast and the Tanggetada coast because both locations have better wind energy sources than other areas. 

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Published

2024-09-25

How to Cite

Triatmoko, D., Arsyad, M. ., & Palloan, P. . (2024). Assessment of Wind Energy Potential in Kolaka Using Era5-land Reanalysis Data . Advances In Social Humanities Research, 2(9), 1071–1088. https://doi.org/10.46799/adv.v2i9.284