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해상풍력발전단지 연간발전량 예측을 위한 MERRA 재해석 데이터 적용 타당성 연구
송원(Song Yuan),김현규(Kim Hyungyu),변준호(Byeon Junho),백인수(Paek Insu),유능수(Yoo Neungsoo) 한국태양에너지학회 2015 한국태양에너지학회 논문집 Vol.35 No.2
A feasibility study to estimate annual energy production of an offshore wind farm was performed using MERRA reanalysis data. Two well known commercial codes commonly used to wind farm design and power prediction were used. Three years of MERRA data were used to predict annual energy predictions of the offshore wind farm close to Copenhagen from 2011 to 2013. The availability of the wind farm was calculated from the power output data available online. It was found from the study that the MERRA reanalysis data with commercial codes could be used to fairly accurately predict the annual energy production from offshore wind farms when a meteorological mast is not available.
국가바람지도와 상용 단지설계 프로그램을 활용한 국내 해상풍력단지 공급가능 잠재량 산정
송원(Song Yuan),김찬종(Kim Chanjong),백인수(Paek Insu),김현구(Kim Hyungoo) 한국태양에너지학회 2016 한국태양에너지학회 논문집 Vol.36 No.4
Commercial wind farm design tools and the national wind map are used to determine the implementation potential of offshore wind power in Korea in this study. For this, the territorial waters of Korea were divided into nine analysis regions and a commercial CFD code was used to obtain wind resource maps at 100m A.S.L. which is the hub height of a 5MW wind turbine used in this study. With the wind resource obtained, factors including water depth, distance from substations, minimum and maximum capacity of a wind farm, distance between turbines and wind farms were considered to determine wind power potential. Also, the conservation areas, military zones, ports, fishing grounds, etc. were considered and excluded. As the result, a total capacity of 6,720 MW was found to be the implementation potential and this corresponds to 3.38 MW/km² in API. Also if the distance from the substation is not considered, the potential increased to be 10,040 MW. This offshore wind farm potential is considered enough to satisfy the target of wind farm capacities in the 7th national plan for electricity demand and supply.