Wind Energy Prospect Assessment by Weibull Distribution on Tasikmalaya as Prospective Area

The installed capacity of wind power plants at Indonesia can only generate up to 1.96 MW from 970 MW potential wind energy. The wind energy prospect in Tasikmalaya, which is part of southern java’s beach is assessed using Weibull distribution for a year. The data is compiled from monthly measurement and take frequency of maximum wind speed to define the potential of Tasikmalaya’s wind energy. The data consist of wind speed and wind direction at a 15m hub height for 12 months. Methods Of Moments (MOM) is used since it is the better parameter estimation compare to Graphical Method (GM) and Empirical Method (EM) and produce the smallest relative error. The Weibull parameter (k and c) from each month varies from 1.17 to 2.61, the scale factor ranges between 2.01 m/s to 4.27 m/s. The result of this research is represented on Weibull Probability Density Function (PDF) graph and real frequency of wind speed from observation. we can conclude that the most frequent wind speed that occur in Tasikmalaya’s area is 2 m/s, even though there are some months that has more frequent wind speed of 3 m/s like May and June. And judging from the Weibull distribution graph, February, March, May, August dan September were the most prospective windy months for this area.

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Publication Details

Journal
Engineering headway
Published
2025-10-13
DOI
https://doi.org/10.4028/p-rwkg26
Primary Topic
Wind Energy Research and Development
Type
article
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article

Wind Energy Prospect Assessment by Weibull Distribution on Tasikmalaya as Prospective Area

Britantyo Wicaksono, Zulkifilie Ibrahim, Didik Sugiyanto, Reza Istoni et al.
Engineering headway
Wind Energy Research and Development
article

Wind Energy Prospect Assessment by Weibull Distribution on Tasikmalaya as Prospective Area

Britantyo Wicaksono, Zulkifilie Ibrahim, Didik Sugiyanto, Reza Istoni, Ikhwannul Kholis, Marizan Sulaiman, Wibby A. A. Praditasari
article en

Abstract

The installed capacity of wind power plants at Indonesia can only generate up to 1.96 MW from 970 MW potential wind energy. The wind energy prospect in Tasikmalaya, which is part of southern java’s beach is assessed using Weibull distribution for a year. The data is compiled from monthly measurement and take frequency of maximum wind speed to define the potential of Tasikmalaya’s wind energy. The data consist of wind speed and wind direction at a 15m hub height for 12 months. Methods Of Moments (MOM) is used since it is the better parameter estimation compare to Graphical Method (GM) and Empirical Method (EM) and produce the smallest relative error. The Weibull parameter (k and c) from each month varies from 1.17 to 2.61, the scale factor ranges between 2.01 m/s to 4.27 m/s. The result of this research is represented on Weibull Probability Density Function (PDF) graph and real frequency of wind speed from observation. we can conclude that the most frequent wind speed that occur in Tasikmalaya’s area is 2 m/s, even though there are some months that has more frequent wind speed of 3 m/s like May and June. And judging from the Weibull distribution graph, February, March, May, August dan September were the most prospective windy months for this area.

Engineering headwayVol. 27
Jakarta State Polytechnic (ID), University of Indonesia (ID), Technical University of Malaysia Malacca (MY), Indonesia Defense University (ID), Universitas Darma Persada (ID)
Openalex Percentile: Top 61%
Wind Energy Research and Development
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Wind Energy Prospect Assessment by Weibull Distribution on Tasikmalaya as Prospective Area — Britantyo Wicaksono, Zulkifilie Ibrahim, et al. · Engineering headway (2025) | TGRS Research Map | TGRS