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Appl. Sci. 2018, 8(6), 858; https://doi.org/10.3390/app8060858

Wind Turbine Generator Efficiency Based on Powertrain Combination and Annual Power Generation Prediction

1
Department of Mechanical Engineering, Graduate School of Gachon University, Seongnam 13120, Korea
2
Korea Electric Power Research Institute, Daejeon 34056, Korea
3
Department of Mechanical Engineering, Gachon University, Seongnam 13120, Korea
*
Author to whom correspondence should be addressed.
Received: 28 April 2018 / Revised: 18 May 2018 / Accepted: 21 May 2018 / Published: 24 May 2018
(This article belongs to the Section Mechanical Engineering)
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Abstract

Wind turbine generators are eco-friendly generators that produce electric energy using wind energy. In this study, wind turbine generator efficiency is examined using a powertrain combination and annual power generation prediction, by employing an analysis model. Performance testing was conducted in order to analyze the efficiency of a hydraulic pump and a motor, which are key components, and so as to verify the analysis model. The annual wind speed occurrence frequency for the expected installation areas was used to predict the annual power generation of the wind turbine generators. It was found that the parallel combination of the induction motors exhibited a higher efficiency when the wind speed was low and the serial combination showed higher efficiency when wind speed was high. The results of predicting the annual power generation considering the regional characteristics showed that the power generation was the highest when the hydraulic motors were designed in parallel and the induction motors were designed in series. View Full-Text
Keywords: wind turbine; hydraulic transmission; generation efficiency; powertrain combination; simulation wind turbine; hydraulic transmission; generation efficiency; powertrain combination; simulation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Kim, D.; Park, B.; Jang, J. Wind Turbine Generator Efficiency Based on Powertrain Combination and Annual Power Generation Prediction. Appl. Sci. 2018, 8, 858.

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