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AWS와 MERRA 데이터의 장기간 풍속보정을 통한 풍력터빈 최적배치 및 연간에너지생산량 예측
박미호(Mi Ho Park),김범석(Bum Suk Kim) 대한기계학회 2016 大韓機械學會論文集B Vol.40 No.4
부산지역 가덕도 일대에 30MW 규모의 육상 풍력발전단지개발을 위한 풍황자원분석과 풍력터빈 최적배치를 수행하였다. 후보지역에 설치되어 운용중인 AWS(KMA)에서 측정된 바람 데이터를 이용하였으며, 데이터 품질분석을 통한 신뢰성 검토를 수행하였다. 1년간 측정된 AWS 데이터는 MERRA 재해석 데이터와 선형희귀(Linear regression method) MCP 기법의 적용을 통해 30년으로 장기 보정되었고, 이를 이용한 풍력터빈 최적배치를 수행하였다. 3㎿ 풍력터빈을 적용하여 총 25 조건의 풍력터빈 배치에 대한 최적배치를 수행하였으며, 다양한 후류모델을 적용하여 발전량해석을 수행하였다. 단지효율은 97.6%~98.7%, 연간이용률은 37.9%~38.3%로 예측되었고, 후류영향이 고려된 연간발전량이 99,598.4 ㎿h~100,732.9 ㎿h로 예측됨에 따라, 우수한 경제성을 갖는 풍력발전단지개발이 가능한 지역임을 확인하였다. A Wind resource assessment and optimal micrositing of wind turbines were implemented for the development of an onshore wind farm of 30 ㎿ capacity on Gadeok Island in Busan, Republic of Korea. The wind data measured by the automatic weather system (AWS) that was installed and operated in the candidate area were used, and a reliability investigation was conducted through a data quality check. The AWS data were measured for one year, and were corrected for the long term of 30 years by using the modern era retrospective analysis for research and application (MERRA) reanalysis data and a measure- correlate-predict (MCP) technique; the corrected data were used for the optimal micrositing of the wind turbines. The micrositing of the 3 MW wind turbines was conducted under 25 conditions, then the best-optimized layout was analyzed with a various wake model. When the optimization was complete, the estimated park efficiency and capacity factor were from 97.6 to 98.7 and from 37.9 to 38.3, respectively. Furthermore, the annual energy production (AEP), including wake losses, was estimated to be from 99,598.4 ㎿h to 100,732.9 ㎿h, and the area was confirmed as a highly economical location for development of a wind farm.
박미호(Park Mi-ho),고경남(Ko Kyung-Nam),허종철(Huh Jong-chul) 한국태양에너지학회 2013 한국태양에너지학회 논문집 Vol.33 No.6
The investigation on wind farm design using CFD technique was carried out to reduce turbulence intensity in a wind farm. A potential wind farm in Gasiri of Jeju Island was selected for the design and the commercial S/W of Meteodyn WT was used for applying CFD technique. The initial layout of wind turbines was derived using WindPRO which is mainly used for wind farm design in Korea. Then, the distribution of turbulence intensity on complex terrain was calculated and visible by Meteodyn WT. Based on the distribution, wind turbines were positioned properly. As a result, wind turbines could be deployed at positions with minimum turbulence intensity as well as maximum Annual Energy Production, AEP, using Meteodyn WT. It is necessary to take into account turbulence intensity in wind farm design to avoid wind turbine failure.
녹색농업관광 활성화를 위한 경관농업 육성방안에 관한 연구 -일본의 사례를 중심으로-
정철모 ( Cheol Mo Chung ),박미호 ( Mi Ho Park ) 한국농촌계획학회 2004 농촌계획 Vol.10 No.1
This study focus on the revitalization of green tourism by the agricultulral landscape conservation policy. Today, agricultulral landuse for food production is restricted by agricultulral products import. In this context, agricultulral land use policy should be paradigm shift to the consumer`s needs which accelerates the green tourism in the rural areas. This research screen the agricultulral landscape conservation policy of Japan` system and construct the new policy implimentation for agricultulral landscape conservation in Korea. For this purpose, agricultulral landscape guideline and support system should be established in line with the revitalization of green tourism and agricultulral income diversification in the rural areas.