• 한국지구과학회지
• /
• 제34권7호
• /
• pp.633-644
• /
• 2013

풍력 발전단지의 효율성 평가를 위하여 풍력-기상자원지도로부터 이론적 잠재량을 계산하고 행원 발전단지 발전량과 비교하였다. 풍력-기상자원지도는 기상청 국립기상연구소에서 개발된 1 km 해상도 자료를 이용하였다. 풍력-기상자원지도와 AWS(구좌) 풍속의 비교 검증 결과는 풍속이 과대 모의되었으며, 행원 발전단지 풍속의 일 변동성은 해륙풍의 영향으로 오후에 최대가 되는 일 변동 특성을 보였다. 풍력-기상자원지도로부터 산출된 발전량과 행원 발전단지 발전량의 비율은 24.8%이나, 발전량 빈도수 분포 형태는 유사하였다. 발전량 차이의 원인은 터빈의 기계적 오류, 풍력-기상자원지도 풍속의 과대 모의에 기인한 것으로 생각된다. 본 연구는 향후의 발전단지 효율성 증가를 위한 터빈의 재배치에 기여 할 것이다.

• 신재생에너지
• /
• 제1권1호
• /
• pp.44-53
• /
• 2005

To understand general status of the national wind environment and to distinguish potential areas to be developed as a largescale wind farm, a synoptic wind map of the Korean Peninsula is established by processing remote sensing data of the satellite, NASA QuikSCAT which Is deployed for the SeaWinds Project since 1999. According to the validation results obtained by comparing with the measurement data of marine buoys of KMA(Korea Meteorological Administration), the cross-correlation factor Is greatly Improved up to 0.87 by blending the sea-surface dat3 of QuikSCAT with NCEP/NCAR CDAS data. It is found from the established synoptic wind map that the wind speed in winter is prominent temporally and the South Sea shows high energy density up to the wind class 6 spatially. The reason is deduced that the northwest winds through the yellow Sea and the northeast winds through the East Sea derived by the low-pressure developed in Japan are accelerated passing through the Korea Channel and formed high wind energy region in the South Sea; the same trends are confirmed by the statistical analysis of meteorological observation data of KMA.

• 한국환경과학회지
• /
• 제22권6호
• /
• pp.717-721
• /
• 2013

In order to analyze the effect of environmental protection on wind energy dissemination quantitatively, the onshore wind resource potential is estimated using Environmental Conservation Value Assessment Map and Korea Wind Resource Map. The onshore wind resource potential of 11 GW is calculated if wind farm development is prohibited within Class 1 area of Environmental Conservation Value Assessment plus 500 m buffer area. Therefore it is worried that environmental protection would be a practical barrier of accomplishing 4,155 thousand TOE target of wind energy dissemination until 2030.

• 한국환경과학회지
• /
• 제22권10호
• /
• pp.1305-1316
• /
• 2013

A long-term wind resource map was made to provide the key design data for the 2.5 GW Korean West-South Offshore Wind Project, and its reliability was validated. A one-way dynamic downscaling of the MERRA reanalysis meteorological data of the Yeongwang-Gochang offshore was carried out using WindSim, a Computational Fluid Dynamics based wind resource mapping software, to establish a 33-year time series wind resource map of 100 m x 100 m spatial resolution and 1-hour interval temporal resolution from 1979 to 2012. The simulated wind resource map was validated by comparison with wind measurement data from the HeMOSU offshore meteorological tower, the Wangdeungdo Island meteorological tower, and the Gochang transmission tower on the nearby coastline, and the uncertainty due to long-term variability was analyzed. The long-term variability of the wind power was investigated in inter-annual, monthly, and daily units while the short-term variability was examined as the pattern of the coefficient of variation in hourly units. The results showed that the inter-annual variability had a maximum wind index variance of 22.3% while the short-term variability, i.e., the annual standard deviation of the hourly average wind power, was $0.041{\pm}0.001$, indicating steady variability.

• 한국신재생에너지학회:학술대회논문집
• /
• 한국신재생에너지학회 2009년도 춘계학술대회 논문집
• /
• pp.529-531
• /
• 2009

To construct the wind map for mainland Korea, the well designed atmospheric numerical modeling system was used. Three nest domains were construced with spatial resolutions between $10{\times}10km$ up to the hightest resolution of $1{\times}1km$. Parameterization schemes like MRF(PBL), RRTM(radiation), Grell(cumulus) were chosen since wind data simulated is in better agreement with the observed wind data. High-resolution atmospheric numerical model was applied to simulate the motion of the atmosphere and to produce the wind map around the South Korea. The results of several simulations were improved compare to the past system, because of using the fine geographical data, such as terrain height and land-use data, and the meteorological data assimilation.

• 한국신재생에너지학회:학술대회논문집
• /
• 한국신재생에너지학회 2008년도 추계학술대회 논문집
• /
• pp.332-333
• /
• 2008

This paper presents an estimation method of national wind resource potential using a national and GIS(Geographical Information System). The wind resource potential is classified into theoretical, geographical and technical potentials and each category narrows down the previous definition by excluding impossible area to be developed as a wind farm using GIS datasets for onshore and offshore. As a basic unit of wind energy potential at a certain area, API(Average Power Intercepted) is calculated from WPD(Wind Power Density) given by a national wind map which is established by numerical wind simulation, so that a logical and relatively accurate potential estimation is possible comparing with other methods based on a field measurement interpolation which is inevitable to avoid critical assumptions.

• 대한공간정보학회지
• /
• 제23권1호
• /
• pp.15-22
• /
• 2015

풍력자원지도의 작성을 위해 기본적으로 지형고도자료, 지면조도자료, 풍황자료가 필요하다. 그 중 지면조도자료의 경우 토지피복분류 기법을 통한 토지피복지도를 이용하여 구할 수 있다. 지면조도지도의 경우 토지피복의 성질에 따라 풍속의 조도계수가 다르게 되며, 이러한 조도계수에 근거하여 정확한 지면조도지도를 만들 수 있다. 본 연구에서는 Landsat위성자료를 이용하여 무감독 분류 방법과 식생지수법을 사용하여 지면조도자료를 생성한 후 풍력자원지도를 작성하였다. 이렇게 만들어진 풍력자원지도를 근거로 식생지수법의 사용이 무감독 분류 기법에 비하여 타당한지를 검증하였다. 그 결과, 식생지수를 사용한 풍력자원지도는 관측 자료와 비교한 경과 60% 이상의 등급 일치율을 보였고 불일치하는 픽셀에 대해서는 최대 등급의 차이를 넘지 않았다. 따라서 풍력자원지도 생성 시 필요한 지면조도지도를 계산할 경우 식생지수를 이용한 분류방법이 효과적인 것으로 판단된다.

• 한국신재생에너지학회:학술대회논문집
• /
• 한국신재생에너지학회 2008년도 춘계학술대회 논문집
• /
• pp.300-302
• /
• 2008

For the evaluation of wind resources, numerical simulation was carried out as a tool for establishing wind map around the korean peninsula. Initial and boundary condition are given by 3 hourly RDAPS(Regional Data Assimilation and Prediction System) data of KMA(Korea Meteorology Administration) and high resolution terrain elevation land cover(30 seconds) data from USGS(United States Geological Survey). Furthermore, Data assimilation was adopted to improve initial meteorological data with buoy and QuikSCAT seawinds data. The simulation was performed from 2003 to 2006 year. To understand wind data correctly in complex terrain as the korean peninsula, at this research, Wind map was classified 4 categories by distance from coastline and elevation.

• 응용통계연구
• /
• 제23권6호
• /
• pp.1157-1167
• /
• 2010

본 논문은 남한지역 풍력자원의 계량화 및 바람환경분석 등에 필요한 풍력에너지지도를 고해상도로 작성하는 방법을 제안하였다. 이를 위해 $1Km{\times}1Km$ 격자로 나누어진 남한전역(345,682 지점)의 월별풍속에 적합한 통계적 바람장모형을 설정하여 각종 풍력에너지통계를 $1Km{\times}1Km$ 격자지점 별로 계산하고, 통계값들를 지도로 구현하는 절차를 연구하였다. 바람장모형의 적합성검정에는 국내 76개 기상관측소에서 관측된 TMY (typical meteorological year) 바람자료가 사용되었으며, Kolmogrov-Smirnov 검정결과 로그정규모형이 남한지역의 월별 바람장모형에 적합하였다. 또한 로그정규모형 하에서 얻어지는 다양한 형태의 풍력에너지통계들을 소개하였으며, 국립기상연구소가 제공하는 $1Km{\times}1Km$ 격자지점(345,682 지점)의 풍속자료를 사용하여 남한(지상 80m)의 풍력에너지밀도(W/$m^2$)지도를 공간분포도 형태로 작성해 보였다.

• 한국태양에너지학회 논문집
• /
• 제36권4호
• /
• pp.21-29
• /
• 2016

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 $3.38MW/km^2$ 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.