Analysis of wind energy potential and Weibull parameter estimation methods: a case study from Turkey
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Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
A detailed investigation of the wind characteristics is an indispensable process for the wind energy potential for installing of wind power plants. Choosing the wind speed distribution that provides the better fit to the data is of great advantages. The present study investigates the appropriateness of four different numerical methods for forecasting the Weibull distribution parameters using wind speed information from Izmir-Turkey. To determine the robustness of the methods, the root-mean-square error, the coefficient of determination, and the Chi-square goodness-of-fit tests have been used. In addition, an economic analysis to represent probability of installing wind turbines ranging between 800 and 4200 kW in site has been also done. The results demonstrate that the standard deviation-mean wind speed method is the most appropriate. Moreover, the estimated cost of electricity from wind was calculated as US$0.0111/kWh.
Description
Keywords
Energy cost, Statistical analysis, Standard deviation-mean speed method, Weibull parameters, Wind energy
Journal or Series
International Journal of Environmental Science and Technology
WoS Q Value
Q2
Scopus Q Value
Q1
Volume
17
Issue
2
