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제주 대정 해상풍력 자원평가 및 풍력터빈 Class 선정

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Abstract
Offshore wind farms have been constructed mainly around European countries since they are eco-friendly and have less complaints from neighbors. Although there are some offshore met masts and offshore wind turbines around Jeju Island, South Korea, there have not been research results on offshore wind resources around Jeju Island on the basis of the wind data from an offshore met mast. In this thesis, offshore wind resource assessment off the coast of Daejeong region, Jeju Island, was performed using the wind data measured by anemometers on a 111.5 m tall offshore met mast, which is 1.5 km away from the coast of Daejeong region. The appropriate wind turbine design class was estimated in accordance with the regulations of International Electrotechnical Commission (IEC) 61400-1 ed. 3. One-year wind data was analyzed to clarify offshore wind characteristics at the position of the offshore met mast, and then the Measure-Correlate-Predict(MCP) method was applied to estimate long-term wind conditions, for which 30-year Modern-Era Retrospective analysis for Research and Applications, Version 2(MERRA-2) reanalysis data was used. In addition, wind turbine classes suitable for the site were determined by considering onsite extreme wind speed and effective turbulence intensity derived from ambient turbulence and the wake behind wind turbines. The AEP and the CF were also estimated using power curves from Hyosung 5 MW wind turbines and Siemens 4 MW wind turbines. As a result, it is estimated that the average wind speed and the wind power density at 100.5m height were 7.96 m/s and 581W/m2, respectively. In other words, Daejeong offshore site is the wind class of four meaning abundant offshore wind resource based on National Renewable Energy Laboratory (NREL) wind classification. The extreme wind speed with a return period of 50 years was 40.6m/s at 100.5m,
which means wind turbine design class II for the Daejeong offshore site. The turbulence intensities of A, B and C were estimated for 3 rotor diameter (3D), 4D and 5D of Hyosung 5 MW wind turbines, while those
of B and Cs were predicted for 3D and the others of Siemens 4 MW wind turbines. For the Hyosung 5MW wind turbine, net AEP and net CF were 17,023 MWh and 38.45%, respectively, while for the 4MW
Siemens wind turbine, those were 14,143 MWh and 40.54%, respectively. These CF values are met the requirements for offshore wind farms designated by the regulations of Jeju local government.
Author(s)
김병택
Issued Date
2018
Awarded Date
2018. 8
Type
Dissertation
URI
http://dcoll.jejunu.ac.kr/common/orgView/000000008596
Alternative Author(s)
Kim, Byeong Taek
Affiliation
제주대학교 일반대학원
Department
대학원 풍력공학부 풍력기계시스템전공
Table Of Contents
List of figures ⅲ
List of Tables ⅴ
Abstract ⅵ
Ⅰ. 서 론 1
1. 연구배경 1
2. 연구동향 5
3. 연구목적 7
Ⅱ. 분석조건 9
1. 테스트 사이트 9
2. 대정 해상 기상탑 10
Ⅲ. 풍력자원 평가 14
1. 풍속 14
1) 평균풍속 및 와이블 분포 14
2) 일별 및 월별 풍속 16
2. 풍향 및 에너지밀도 18
3. 난류강도 19
4. 윈드쉬어 21
5. 공기밀도 24
Ⅳ. 장기간 풍력자원 예측 25
1. 자동기상관측장비 및 재해석 데이터 25
2. MCP 방법을 이용한 장기간 풍력자원 평가 28
V. 풍력터빈 클래스 선정 및 연간에너지생산량 추정 31
1. 풍력터빈 클래스 선정 31
1) 극한풍속에 따른 클래스 선정 31
2) 난류강도에 따른 클래스 선정 34
2. 연간에너지생산량 및 설비이용률 추정 37
3. 지형평가 41
VI. 결 론 46
참고문헌 48
Degree
Master
Publisher
제주대학교 일반대학원
Citation
김병택. (2018). 제주 대정 해상풍력 자원평가 및 풍력터빈 Class 선정
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Faculty of Wind Energy Engineering > Wind Power Mechanical System Engineering
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