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• W2781416570 abstract "An accurate analysis of wind characteristics is a critical factor for wind farm energy output estimation. Therefore, it is necessary to develop an effective and efficient method to asses wind energy resource. The main objective of the present paper is to introduce a novel method to estimate Weibull distribution parameters. This method is called Alternative Moment Method (AMM). AMM method is expressed in an analytical form and doesn’t need iterative procedure. The efficiency and accuracy of the introduced method is compared with commonly used parameter estimation methods. Result of the graphical comparison showed that AMM method is better than Justus Moment Method (JMM) and Novel Energy Pattern Factor Method (NEPFM). While mean error of AMM was 3.53 × 10−7%, JMM and NEPFM was 0.63% and 0.0031% respectively. AMM method is validated by comparing wind turbine energy output estimation accuracy for 144 cases. AMM mean energy output estimation error for 750 kW and 1600 kW wind turbine was 0.039% and 0.043%, respectively. Moreover, data from 16 weather station distributed around Spain is used to evaluate the power density estimation capability of developed method. Result showed that mean absolute error of AMM and MLH was 3.47% and 10.59%, respectively." @default.
• W2781416570 created "2018-01-05" @default.
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• W2781416570 date "2018-05-01" @default.
• W2781416570 modified "2023-10-18" @default.
• W2781416570 title "Alternative Moment Method for wind energy potential and turbine energy output estimation" @default.
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• W2781416570 doi "https://doi.org/10.1016/j.renene.2017.12.072" @default.
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