기상데이터와 웨이블 파라메타를 이용한 풍력에너지밀도분포 비교 = Comparison of Wind Energy Density Distribution Using Meteorological Data and the Weibull Parameters

다국어 초록 (Multilingual Abstract)

Interest in new and renewable energies like solar energy and wind energy is increasing throughout the world due to the rapidly expanding energy consumption and environmental reasons. An essential requirement for wind force power generation is estimating the size of wind energy accurately. Wind energy is estimated usually using meteorological data or field measurement. This study attempted to estimate wind energy density using meteorological data on daily mean wind speed and the Wei bull parameters in Seoul, a representative inland city where over 60% of 15 story or higher apartments in Korea are situated, and Busan, Incheon, Ulsan and Jeju that are major coastal cities in Korea. According to the results of analysis, the monthly mean probability density distribution based on the daily mean wind speed agreed well with the monthly mean probability density distribution based on the Weibull parameters. This finding suggests that the Weibull parameters, which is highly applicable and convenient, can be utilized to estimate the wind energy density distribution of each area. Another finding was that wind energy density was higher in coastal cities Busan and Incheon than in inland city Seoul.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 데이터와 해석
• 3. 풍력밀도분포
• 4. 결론
• 후기
• 참고문헌

참고문헌 (Reference)

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5 Stankovic, S, "Urban Wind Energy" BDSP 2009

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