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The significance of renewable energy has been on the rise, as evidenced by the 3020 renewable energy plan and the 2050 carbon neutrality strategy, which seek to advance a low-carbon economy by implementing a power supply strategy centered around renewable energy sources. This study examines the wind resources on the west coast of South Korea and confirms the potential for wind power generation in the area. Wind speed data was collected from 22 automatic weather system stations and four light house automatic weather system stations provided by the Korea Meteorological Administration to evaluate potential sites for wind farms. Weibull distribution was used to analyze the wind data and calculate wind power density. Annual energy production and capacity factors were estimated for 15-20 MW-class large wind turbines through the height correction of observed wind speeds. These findings offer valuable information for selecting wind power generation sites, predicting economic feasibility, and determining optimal equipment capacity for future wind power generation sites in the region.

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기사명 저자명 페이지 원문 목차
군산·영광 해상 6개 지점 동시 관측을 통한 풍력자원 평가 및 바람지도 검증 = Wind resource evaluation and verification of wind map with simultaneous observation at six offshore locations in Gunsan and Yeonggwang 정문선, 전인성, 김지영 p. 5-13

기상청 공공데이터를 활용한 대한민국 서해안 일대의 바람자원 분석 = Analysis of wind energy potential on the west coast of South Korea using public data from the Korea Meteorological Administration 강상균, 유성호, 시나 하다디, 서대원, 오정근, 이장호 p. 14-24

서남권 해상풍력단지 유지보수 활동을 위한 중기 파고 예보 개선 = Improvement of wave height mid-term forecast for maintenance activities in southwest offshore wind farm 김지영, 이호엽, 서인선, 박다정, 강금석 p. 25-33

상태지수의 경향성 분류에 기반한 풍력발전기 베어링 잔여수명 추정 = Estimation of remaining useful life for bearing of wind turbine based on classification of trend 서윤호, 김상렬, 마평식, 우정한, 김동준 p. 34-42

강우에 의한 풍력 발전기 블레이드 전연부 침식 시험에 관한 연구 = A study on the erosion of wind turbine blade leading edge by rain 김태원, 문기웅, 손진혁, 김보중, 유시홍, 윤창번 p. 43-53

국내에서 운영 중인 국산과 외국산 육상풍력발전기의 발전원가 분석 = Analysis of LCOE for Korean and foreign onshore wind turbines in operation in Korea 이건우, 고경남 p. 54-60

해상풍력단지의 효율적인 유지보수를 위한 최적 비용 산출 연구 = Research on optimal cost calculation for efficient maintenance of offshore wind farms 구희석, 김인철, 김만복, 최만수 p. 61-68

한반도 해양성 조류의 생활사적 특성을 고려한 해상풍력발전 환경영향평가에 대한 고찰 = A review on environmental impact assessment of offshore wind farms related to the life-history of marine birds on the Korean Peninsula 이승연, 이후승 p. 69-82

유리섬유 부직포가 삽입된 풍력 블레이드 인발 성형 스파캡 소재의 파괴인성 특성 평가 = Evaluation of fracture toughness characteristics of pultruded CFRP spar-cap materials with non-woven glass fabric for wind blade 김영철, 주근수, 박지상, 이우경, 강민규, 김지훈 p. 83-90

상시계측을 통한 해상기상탑의 동적특성 평가 = Estimation of dynamic characteristics of an offshore meteorological tower using ambient measurements 이계희, 레 꾸억 끄영, 곽대진 p. 91-99

수치해석 활용 대용량 풍력발전시스템 유지보수 시 타워 및 블레이드 후류에 따른 드론 블레이드 간섭 연구 = Numerical investigation of large-capacity wind turbine wake impact on drone system during maintenance 이준영, 정현철, 정재호 p. 100-108

파일의 시공오차를 고려한 스태빙시스템의 구조안전성 평가 = Structural safety evaluation of stabbing system for pre-piling jacket substructure considering pile construction errors 오영철, 류재용, 이대용 p. 109-119

참고문헌 (31건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 Kang, D., Ko, K., and Huh, J., 2018, “Comparative study of different methods for estimating weibull parameters: A case study on Jeju Island, South Korea”, Energies, Vol. 11, No. 2, pp. 1∼19. 미소장
2 Global Wind Energy Council(GWEC), 2022, Global wind report 2022. 미소장
3 Korea wind energy industry association, 2022, Wind power facilities in operation status 2022edition. 미소장
4 Köse, R., 2004, “An evaluation of wind energy potential as a power generation source in Kütahya, Turkey”, Energy Conversion and Management, Vol. 45, No. 11∼12, pp. 1631∼1641. 미소장
5 Kang, S., Khanjari, A., You, S., and Lee, J. H., 2021, “Comparison of different statistical methods used to estimate Weibull parameters for wind speed contribution in nearby an offshore site, Republic of Korea”, Energy Reports, Vol. 7, pp. 7358∼7373. 미소장
6 Mahmoodi, K., Ghassemi, H., and Razminia, A., 2020, “Wind energy potential assessment in the Persian Gulf: A spatial and temporal analysis”, Ocean Engineering, Vol. 216, 107674, pp. 1∼20. 미소장
7 Onea, F., and Rusu, E., 2022, “A spatial analysis of the offshore wind energy potential related to the Mediterranean islands”, Energy Reports, Vol. 8, pp. 99∼105. 미소장
8 Wen, Y., Kamranzad, B., and Lin, P., 2021, “Assessment of long-term offshore wind energy potential in the south and southeast coasts of China based on a 55-year dataset”, Energy, Vol. 224, 120225, pp. 1∼13. 미소장
9 Gualtieri, G., 2022, “Analysing the uncertainties of reanalysis data used for wind resource assessment: A critical review”, Renewable and Sustainable Energy Reviews, Vol. 167, 112741, pp. 1∼20. 미소장
10 Oh, K. Y., Kim, J. Y., Lee, J. S., and Ryu, K. W., 2012, “Wind resource assessment around Korean Peninsula for feasibility study on 100MW class offshore wind farm“ Renewable Energy, Vol. 42, pp. 217∼226. 미소장
11 Kang, K. S., Oh, N. S., Ko, D. H., Jeong, S. T., and Hwang, J. D., 2018, “Assessment of offshore wind power potential for turbine installation in coastal areas of Korea”, Journal of Korean Society of Coastal and Ocean Engineers, Vol. 30, No. 4, pp. 191∼199. 미소장
12 Murthy, K.S.R., and Rahi, O.P., 2017, “A comprehensive review of wind resource assessment”, Renewable and Sustainable Energy Reviews, Vol. 72, pp.1320-1342 미소장
13 Kang, S. K., You, S. H., Lee, J. H., Park, S. S., and Kim, H. J., 2018, “Analysis of wind resource on maldo island of kokunsangun-do, saemangeum”, Journal of Wind Energy, Vol. 9, No. 4, pp. 65∼71. 미소장
14 Korea Meteorological Administration, Open MET data portal, https://data.kma.go.kr/ 미소장
15 Korea Meteorological Administration, 2016, Ground meteorological observation guidelines 미소장
16 Korea Meteorological Administration, 2018, Meteorological climate data catalog, No. 11-136000 0-001224-02 미소장
17 Hwang, Y. S., Lee, W. S., Paek, I. S., Yoo, N. S., 2009, “Effectiveness of wind data from automated weather stations for wind resources prediction”, Journal of Industrial Technology, Kangwon Natl. Univ., No. 29, pp. 181∼186. 미소장
18 Azad, A.K., Rasul, M.G., Yusaf, T., 2014, “Statistical diagnosis of the best Weibull methods for wind power assessment for agricultural applications”, Energies, Vol. 7, No. 5, pp. 3056∼3085. 미소장
19 Ryu, K. W., Park, K. S., Lee, J. H., Oh, S. Y., Kim, J. Y., and Park, M. H., 2013, “Development of web-based wind data analysis system for hemosu-1”, Journal of Wind Energy, Vol. 4, No. 1, pp. 60∼67. 미소장
20 Justus, C.G., Hargraves, W.R., Mikhail, A., Graberm, D., 1978, “Methods for estimating wind speed frequency distribution”. Journal of applied meteorology, Vol. 17, pp. 350∼353. 미소장
21 Hove, T., Madiye, L., and Musademba, D., 2014, “Mapping wind power density for Zimbabwe: A suitable weibull-parameter calculation method”, Journal of Energy in Southern Africa, Vol. 25, No. 4, pp. 37∼47. 미소장
22 Shu, Z. R., and Jesson, M., 2021, “Estimation of Weibull parameters for wind energy analysis across the UK”, Journal of Renewable and Sustainable Energy, Vol. 13, No. 2, pp. 1∼13. 미소장
23 International Electrotechnical Commission, 2017, IEC 61400-12-1, Wind energy generation systems–Part 12-1: Power performance measurements of electricity producing wind turbines 미소장
24 Rabbani, R., and Zeeshan, M., 2020, “Exploring the suitability of MERRA-2 reanalysis data for wind energy estimation, analysis of wind characteristics and energy potential assessment for selected sites in Pakistan”, Renewable Energy, Vol. 154, pp. 1240∼1251. 미소장
25 Arenas-López, J. P., and Badaoui, M., 2022, “Analysis of the offshore wind resource and its economic assessment in two zones of Mexico”, Sustainable Energy Technologies and Assessments, Vol. 52, 101997, pp. 1∼14. 미소장
26 Mirsadeghi, M., Cóstola, D., Blocken, B., and Hensen, J. L. M., 2013, “Review of external convective heat transfer coefficient models in building energy simulation programs: Implementation and uncertainty”, Applied Thermal Engineering, Vol. 56, No. 1–2, pp. 134∼151. 미소장
27 Chavan, D. S., Gaikwad, S., Singh, A., Himanshu, Parashar, D., Saahil, V., Sankpal, J., and Karandikar, P. B., 2017, “Impact of vertical wind shear on wind turbine performance”, 2017International Conference on circuits Power and Computing Technologies, pp. 1∼6. 미소장
28 Gaertner, E., Rinker, J., Sethuraman, L., Anderson, B., Zahle, F., and Barter, G., 2020, “IEA Wind TCP Task 37: Definition of the IEA 15 MW offshore reference wind turbine”, Technical report NREL/TP-5000-75698. 미소장
29 Peeringa, J., Borrd, R., Ceyhan, O., Engels, W., and Winkel, G. D., 2011, “Upwind 20MW wind turbine pre-design blade design and control”, ECN-11-017 미소장
30 Oh, K. Y., Kim, J. Y., and Lee, J. S., 2011, “Assessment of Wind Resource Around the Korean Peninsula by Using Marine Buoys Datasets”, Journal of The Korean Society for New and Renewable Energy, Vol. 7, No. 1, pp. 15∼21. 미소장
31 Kim, J. Y., Hwang, S. J., Kim, H. G., Park, C. Y., Jeong, J. Y., 2022, “Site Adaptation of the Reanalysis Data ERA5 on the Power Prediction of Wind Farms”, Journal of the Korean Solar Energy Society, Vol. 42, No. 4, pp. 79∼91. 미소장

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