Özet:

Abstract Medan has a tropical climate and has the potential to support additional renewable energy, one of which is wind energy. Analysis of wind speed in Medan in particular has not been conducted to determine the potential for renewable energy. Research on wind speed in Medan, which ranges from 3.5m/s to 7.5m/s, has been carried out, but its potential has not been analyzed and evaluated. This study was conducted to analyze the shape factor and scale for wind speed using the Weibull and Rayleigh distribution, and three evaluation models were proposed, namely the correlation coefficient (R2), Chi-Square (ꭓ2), and Root mean square error (RMSE). Wind speed data that is used to analyze and evaluate obtained from the Meteorology, Climatology, and Geophysics Agency for a period of three years, 2017 to 2019 in Medan. The probability density distribution function (Pdf) is described based on the shape (k) and scale (c) parameters obtained from the above data analysis. These two parameters are very important to be observed related to the potential of electrical energy produced in a place or area. The analysis result shows that Weibull is better than Rayleigh distribution based on Pdf. Meanwhile statistical analysis, Weibull distribution is better than Rayleigh distribution based on R2. But on the other hand, the Rayleigh distribution is better than the Weibull distribution based on Chi-Square and RMSE. In addition to the analysis and evaluation, the potential for wind energy to be obtained is around 79.5 Watt/m2. Downloads Download data is not yet available. Downloads FULL TEXT Published 2023-03-24 How to Cite Zambak, M. F., Cahyadi, C. I., Helmi, J., Sofie, T. M., & Suwarno, S. (2023). Evaluation and Analysis of Wind Speed with the Weibull and Rayleigh Distribution Models for Energy Potential Using Three Models. International Journal of Energy Economics and Policy, 13(2), 427–432. https://doi.org/10.32479/ijeep.12775 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue Vol. 13 No. 2 (2023) Section Articles License Submission of an article implies that the work described has not been published previously , that it is not under consideration for publication elsewhere, that its publication is approved by all authors and tacitly or explicitly by the responsible authorities where the work was carried out, and that, if accepted, will not be published elsewhere in the same form, without the written consent of the Publisher. The Editors reserve the right to edit or otherwise alter all contributions, but authors will receive proofs for approval before publication. Most read articles by the same author(s) Suwarno Suwarno, M. Fitra Zambak, The Probability Density Function for Wind Speed Using Modified Weibull Distribution , International Journal of Energy Economics and Policy: Vol. 11 No. 6 (2021) Faisal Irsan Pasaribu, Catra Indra Cahyadi, Restu Mujiono, Suwarno Suwarno, Analysis of the Effect of Economic, Population, and Energy Growth, as well as the Influence on Sustainable Energy Development in Indonesia , International Journal of Energy Economics and Policy: Vol. 13 No. 1 (2023) Catra Indra Cahyadi, Suwarno Suwarno, Aminah Asmara Dewi, Musri Kona, Muhammad Arif, Muhammad Caesar Akbar, Solar Prediction Strategy for Managing Virtual Power Stations , International Journal of Energy Economics and Policy: Vol. 13 No. 4 (2023) Make a Submission Make a Submission Dergi Kapağı

Anahtar Kelimeler: