碩士 / 國立成功大學 / 機械工程學系 / 107 / In this research, the wind data for 2017 and 2018 was measured by the Taipower meteorological mast. Wind speed and wind direction at heights of 10, 30, 50 and 95 meters were available. The resolution of the wind data is one second and that of the wave data is one hour. The wind and wave data for 2017 and 2018 were visualized and presented. The turbulent intensity for these years was plotted with the IEC61400-3 standard and the Weibull distribution was calculated and also presented in terms of seasons. The Fast Fourier Transform was applied to the wind and wave data to investigate if there were similar periodic variations.
The power production was estimated based on the ten-minutes resolution wind speed data and the power curve of the Vestas V-164 9.5MW turbine. The AEP (Annual Energy Production) was presented and the working status of the turbine was discussed in terms of the northeast monsoon (NE monsoon) season and the non-northeast monsoon (non-NE monsoon) season separately. The sudden power rise or drop will cause problems to the power management. If the power rise suddenly, there must have arrangements to smooth down the surges. On the contrary, if the power goes through a sudden drop, there must have some traditional generator sets which can launch as soon as possible to compensate for the power gap. This research is aimed to analyze the power fluctuation induced by the changeable wind in the NE monsoon season in Taiwan Strait and compare the phenomenon with that in the North Sea. To investigate severe variations in the NE monsoon wind, the power fluctuation during each one-
doi:10.6844/NCKU201900784
hour period were estimated and plotted together with the power output in the form of a time series.
Typhoons are another feature of Taiwan's weather system. The wind data of Typhoon Megi (RSMC No. 1617) which was measured with Taipower mast and the WindCube LiDAR were visualized. Another three periods in the NE monsoon season with relatively high wind speed were selected to compare with this typhoon.
The wind characteristic in Europe extremely applicable in terms of wind energy. The KNW data (a modified wind dataset provided by the Royal Netherlands Meteorological Institute) at FINO1 and the MERRA-2 data (a reanalysis wind dataset provided by NASA,) at the Horns Rev wind farm were chosen to investigate the similarities and differences between the wind characteristics of Taiwan and those of the North Sea area.
| Identifer | oai:union.ndltd.org:TW/107NCKU5489045 |
| Date | January 2019 |
| Creators | Shao-ChienChang, 張劭謙 |
| Contributors | Ta-Hui Lin, 林大惠 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | en_US |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 107 |
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