کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6478566 1428100 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Oscillation characteristic study of wind speed, global solar radiation and air temperature using wavelet analysis
ترجمه فارسی عنوان
مطالعه ویژگی های نوسان سرعت باد، تابش خورشیدی و دمای هوا با استفاده از تحلیل موجک
کلمات کلیدی
تبدیل موجک، تبدیل موجک صلیب، انسجام، زاویه فاز طیف قدرت،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
چکیده انگلیسی


- Wind speed, solar radiation and temperature are investigated using wavelet analysis.
- All the three time series used show significant correlation with annual period.
- Wind energy and solar energy can play complementary role in power generation.
- The research idea can be extended when designing energy project across regions.

In this paper, 10-year meteorological data observed at Taipei, Taiwan, from 2006 to 2015, are studied to investigate the inherent correlation between renewable resources. The data are investigated in the time-frequency space using wavelet analysis including wind speed, global solar radiation and air temperature. Through the wavelet transform of the time series, the related cross wavelet transform, wavelet coherence and phase angle are obtained. The results show that the wavelet power spectra exhibit prominent oscillations at annual and half-year periods for the three kinds of meteorological data, while some oscillations for other periods do not show a regular pattern. Wind speed spectrum is more irregular than the other two types of data due to climatic and geographic factors, whereas temperature has the most regular form. From the cross wavelet transform of data pairs, it is seen wind speed and solar radiation have an anti-phase correlation, implying that wind and solar energy can be used in complementary roles in electricity generation in this region. The results of wavelet analysis coincide with the variation trend of the monthly mean of the meteorological data over the 10-year period. Wavelet analysis is a robust tool for the oscillation characteristic study on time series data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 190, 15 March 2017, Pages 650-657
نویسندگان
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