Detailed Information

Cited 0 time in webofscience Cited 2 time in scopus
Metadata Downloads

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

Authors
Kim, DongmyungPark, ByeongcheolJang, Joosup
Issue Date
Jun-2018
Publisher
MDPI
Keywords
wind turbine; hydraulic transmission; generation efficiency; powertrain combination; simulation
Citation
APPLIED SCIENCES-BASEL, v.8, no.6
Journal Title
APPLIED SCIENCES-BASEL
Volume
8
Number
6
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/3720
DOI
10.3390/app8060858
ISSN
2076-3417
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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
공과대학 > 기계공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jang, Joo Sup photo

Jang, Joo Sup
Engineering (기계·스마트·산업공학부(기계공학전공))
Read more

Altmetrics

Total Views & Downloads

BROWSE