Due to technological advancements and environmental concerns, wind power generation using wind turbines has increased significantly in recent years. In the current study, meteorological data over five years (2015 – 2019) have been used in order to estimate the Weibull distribution function, wind power, and energy density for ten meteorological stations in three provinces. Monthly and yearly wind speed variations are analyzed. The results demonstrated that the values of the shape and scale parameters are varied over a wide range for each site. Moreover, the results illustrated that the highest wind power potential occurs at Jayawijaya city with a potential of 36.23 w/m2. On the other hand, results showed that the monthly wind speed varies in a large range in each site. In the Jayawijaya city, for example, it ranged between 2.27 and 2.9 m/s, whereas in the Bogor Regency it ranged between 0.58 and 0.25 m/s. According to the predicted yearly power and energy densities, the evaluated sites are appropriate for small-scale power generation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.