• 제목/요약/키워드: Wind resource map of Korea

검색결과 48건 처리시간 0.026초

국토환경성평가에 의한 육상 풍력자원 잠재량 산정 (Evaluation of Onshore Wind Resource Potential According to Environmental Conservation Value Assessment)

  • 김현구;황효정;강용혁
    • 한국환경과학회지
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    • 제22권6호
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    • pp.717-721
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    • 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.

수치바람모의에 의한 저해상도 국가 바람지도의 구축 (Establishment of the Low-Resolution National Wind Map by Numerical Wind Simulation)

  • 김현구;장문석;경남호;이화운;최현정;김동혁
    • 한국태양에너지학회 논문집
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    • 제26권4호
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    • pp.31-38
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    • 2006
  • The national goal of wind energy dissemination has to be determined rationally based on technically available wind resource potential. For an accurate and scientific estimation of wind resource potential, a wind map is requisite. This paper introduces the national wind map of Korea established by numerical wind simulation. Therefore, quantification of national wind resource potential is now possible and is anticipating to be used as a core index for policy and strategy building of wind energy dissemination and technology development.

풍력자원 잠재량 산출을 위한 저해상도 바람지도 구축 (Low-Resolution Wind Mapping For Estimation of Wind Resource Potential)

  • 김현구;장문석;경남호
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2006년도 추계학술대회
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    • pp.307-308
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    • 2006
  • The national goal of wind energy dissemination has to be determined rationally based on technically available wind resource potential. For a reliable and scientific estimation or wind resource potential, a wind map is requisite. This paper presents the national wind map of Korea established by numerical wind simulation. Prediction accuracy of the low-resolution wind map is Improved by nudging QuikSCAT data and is validated by comparing with marine buoy beacon and met-mast measurements. Therefore, quantification of national wind resource potential is now possible and is anticipating to be utilized as a core index for policy and strategy building of wind energy dissemination and technology development.

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Long-Term Wind Resource Mapping of Korean West-South Offshore for the 2.5 GW Offshore Wind Power Project

  • Kim, Hyun-Goo;Jang, Moon-Seok;Ko, Suk-Hwan
    • 한국환경과학회지
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    • 제22권10호
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    • pp.1305-1316
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    • 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.

무빙필터 기법을 적용한 제주 우도지역의 풍력자원지도 작성에 대한 연구 (The Study on the Mapping of Wind Resource using Moving Filter Technique at Udo, Jeju Island)

  • 문서정;고정우;이병걸
    • 대한공간정보학회지
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    • 제20권4호
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    • pp.29-36
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    • 2012
  • 풍력자원지도를 작성하기 위해서는 풍황자료, 지형고도지도, 지면조도지도가 필요하다. 본 연구는 이 중 지면조도지도를 생성하는 작업의 효율성과 정확도를 높이기 위해 환경부의 토지피복지도에 영상필터링 기법 중 무빙필터를 적용하였다. 필터링된 토지피복지도를 이용하여 지면조도지도를 생성하였고 이를 가지고 풍력자원지도를 작성해봄으로써, 필터링을 거쳐 풍력자원지도를 작성하여도 타당한지 여부를 검증하였다. 그 결과, 필터링을 적용한 지면조도지도를 사용하여 작성한 바람지도 모두 과소예측을 보였으나 오차정도가 매우 작았고, RMSE 또한 50m높이에서 0.0237~0.0253m/s 정도로 거의 0에 근접한 결과를 보였다. 즉, 풍력발전기가 설치되는 80m 이상의 높이에서는 오차의 정도가 더욱 줄어들 것이고, 풍력자원예측 시 작업의 효율성을 위해 필터링기법을 적용하여도 신뢰할 만한 풍력자원지도를 얻을 수 있을 것이다.

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
    • 풍력에너지저널
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    • 제14권3호
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    • pp.5-13
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    • 2023
  • Floating LiDAR systems (FLSs) are used in many countries because they are easier to install than stationary weather towers, have low maintenance costs, and can be installed in deep sea areas. However, FLSs are rarely used in Korea due to a lack of clear evaluation criteria to verify the reliability and uncertainty of their measurements. This study is the first to verify the reliability of FLSs in Korea with one-year simultaneous observation of six lidar systems - two fixed and four floating systems - in sea areas of Gunsan and Yeonggwang. The reliability of FLSs measurement data was verified by comparison between fixed and floating systems. Moreover, differences between existing wind resource maps and the data observed from the six points were analyzed and wind resource maps were calibrated. The results show a return rate of more than 95 % of the observed data and strong correlations between fixed and floating systems (average R2 of 0.977). Additionally, errors in wind speed predictions to produce a wind resource map could be significantly reduced from 5.7 % to 0.6 % after calibrations with the observation data.

다중 배제분석을 이용한 강원도 내 풍력발전단지 유망후보지 선정 (The Selection of Promising Wind Farm Sites in Gangwon Province using Multi Exclusion Analysis)

  • 박웅식;유능수;김진한;김관수;민덕호;이상우;백인수;김현구
    • 한국태양에너지학회 논문집
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    • 제35권2호
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    • pp.1-10
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    • 2015
  • Promising onshore wind farm sites in Gangwon province of Korea were investigated in this study. Gangwon province was divided into twenty five simulation regions and a commercial program based on Reynolds averaged Navier-Stokes equation was used to find out wind resource maps of the regions. The national wind atlas with a period 2007-2009 developed by Korea institute of energy research was used as climatologies. The wind resource maps were combined to construct a wind resource map of Gangwon province with a horizontal spatial resolution of 100m. In addition to the wind resource, national environmental zoning map, distance from substation, residence and automobile road, Beakdudaegan mountain range, terrain slope, airport and military reservation district were considered to find out promising wind farm sites. A commercial wind farm design program was used to find out developable wind farm capacities in promising wind farm site with and without excluding environmental protection regions. The total wind farm capacities with and without excluding the protection regions were estimated to be 46MW and 598MW, respectively, when a 2MW commercial wind turbine was employed.

남한 풍력자원 잠재량의 예비적 산정 (Preliminary Estimation of Wind Resource Potential in South Korea)

  • 김현구
    • 한국태양에너지학회 논문집
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    • 제28권6호
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    • pp.1-7
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    • 2008
  • The wind resource potentials of South Korea are estimated as preliminary stage using the national wind map which has been being established by numerical wind simulation and GIS (Geographical Information System) exclusion analysis. The wind resource potentials are classifying into theoretical, geographical, technical and implementation potentials and the calculation results are verified by comparing to other countries' potentials. In GIS exclusion, urban, road, water body, national parks and steep slope area are excluded from onshore geographical potential while water depth and offshore distance from the shoreline are applied as offshore exclusion conditions. To estimate implementation potential, dissemination records of European countries are adopted which is about 1/8 of geographical potential. The implementation potential of South Korea would correspond 12.5GW which is 1.7 times of the national wind energy dissemination target until 2030.

영상자료의 식생지수를 이용한 제주 북동부 지역의 풍력자원지도 작성에 관한 연구 (A Study on the Mapping of Wind Resource using Vegetation Index Technique at North East Area in Jeju Island)

  • 변지선;이병걸;문서정
    • 대한공간정보학회지
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    • 제23권1호
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    • pp.15-22
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    • 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.

제주 남동부 지역을 대상으로 한 WindPRO의 발전량 예측에 관한 연구 (Study on the Power Performance on WindPRO Prediction in the Southeast Region of Jeju Island)

  • 현승건;김건훈;허종철
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2010년도 춘계학술대회 초록집
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    • pp.184.1-184.1
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    • 2010
  • In order to research the way to evaluate wind resource without actual Met Mast data, this paper has been carried out on the southeastern region of Jeju island, Korea. Although wind turbine has been an economical alternative energy resource, misjudging the prediction of lifetime or payback period occurs because of the inaccurate assessment of wind resource and the location of wind turbine. Using WindPRO(Ver. 2.7), a software for wind farm design developed by EMD from Denmark, wind resources for the southeastern region of Jeju island was analyzed, and the performance of WindPRO prediction was evaluated in detail. Met Mast data in Su-san 5.5Km far from Samdal wind farm, AWS in Sung-san 4.5km far from Samdal wind farm, and Korea Wind Map data had been collected for this work.

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