• 제목/요약/키워드: Wind Energy Resource

검색결과 245건 처리시간 0.028초

지형형태 분류에 의한 산악지형 내 풍력단지 입지평가 (Wind Farm Siting in Mountainous Terrain By Geomorphometric Characterization)

  • 김현구;황효정;강용혁;윤창열;정보린;송규봉
    • 대한공간정보학회지
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    • 제22권4호
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    • pp.13-19
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    • 2014
  • 한반도와 같은 산악지형에서 풍력단지를 조성할 경우, 인근 지형에 의한 차폐영향이 없기 때문에 상대적으로 풍력자원이 우수한 능선을 따라서 풍력터빈을 설치하는 것이 유리하다. 본 연구에서는 산악지형에서의 풍력단지 입지평가를 위하여 SRTM v4.1 3 arc-second 해상도의 수치고도 데이터베이스와 지형형태 분류 프로그램인 LandSerf v2.3을 이용하여 풍력터빈 설치 가능한 능선을 추출하였으며, 강원도에 건설된 강원풍력단지, 태기산풍력단지 및 매봉산풍력단지의 사례분석을 통하여 대부분의 풍력터빈이 상대적으로 풍력자원이 우수한 능선을 따라 배치되었음을 확인함으로써 이 방법의 유효성을 검증하였다.

시계열 풍속벡터의 유사성을 이용한 포항지역 바람권역 분류 (Classification of Wind Sector in Pohang Region Using Similarity of Time-Series Wind Vectors)

  • 김현구;김진솔;강용혁;박형동
    • 한국태양에너지학회 논문집
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    • 제36권1호
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    • pp.11-18
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    • 2016
  • The local wind systems in the Pohang region were categorized into wind sectors. Still, thorough knowledge of wind resource assessment, wind environment analysis, and atmospheric environmental impact assessment was required since the region has outstanding wind resources, it is located on the path of typhoon, and it has large-scale atmospheric pollution sources. To overcome the resolution limitation of meteorological dataset and problems of categorization criteria of the preceding studies, the high-resolution wind resource map of the Korea Institute of Energy Research was used as time-series meteorological data; the 2-step method of determining the clustering coefficient through hierarchical clustering analysis and subsequently categorizing the wind sectors through non-hierarchical K-means clustering analysis was adopted. The similarity of normalized time-series wind vector was proposed as the Euclidean distance. The meteor-statistical characteristics of the mean vector wind distribution and meteorological variables of each wind sector were compared. The comparison confirmed significant differences among wind sectors according to the terrain elevation, mean wind speed, Weibull shape parameter, etc.

녹색섬 풍력자원평가 - 독도 (Wind Resource Assessment for Green Island - Dokdo)

  • 김현구;김건훈;강용혁
    • 한국태양에너지학회 논문집
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    • 제32권5호
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    • pp.94-101
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    • 2012
  • A Dokdo wind resource map has been drawn up for the Green Island Energy Master Plan according to Korea's national vision for 'Low Carbon Green Growth'. The micro-siting software WindSim v5.1,which is based on Computational Flow Analysis, is used with MERRA reanalysis data as synoptic climatology input data, and sensitivity analysis on turbulence model is accompanied. A wind resource assessment has been conducted for the Dokdo wind power dissemination plan, which consists of two 10kW wind turbines to be installed at the Dongdo dock and Dokdo guard building. It is evaluated that the capacity factors at Dongdo dock and Dokdo guard building are about 20% and 30% respectively, and annual and hourly variations of wind power generation have been analyzed, but summertime energy production is predicted to be only 40% of wintertime energy production.

Surface Wind Regionalization Based on Similarity of Time-series Wind Vectors

  • Kim, Jinsol;Kim, Hyun-Goo;Park, Hyeong-Dong
    • Asian Journal of Atmospheric Environment
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    • 제10권2호
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    • pp.80-89
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    • 2016
  • In the complex terrain where local wind systems are formed, accurate understanding of regional wind variability is required for wind resource assessment. In this paper, cluster analysis based on the similarity of time-series wind vector was applied to classify wind regions with similar wind characteristics and the meteorological validity of regionalization method was evaluated. Wind regions in Jeju Island and Busan were classified using the wind resource map of Korea created by a mesoscale numerical weather prediction modeling. The evaluation was performed by comparing wind speed, wind direction, and wind variability of each wind region. Wind characteristics, such as mean wind speed and prevailing wind direction, in the same wind region were similar and wind characteristics in different wind regions were meteor-statistically distinct. It was able to identify a singular wind region at the top area of Mt. Halla using the inconsistency of wind direction variability. Furthermore, it was found that the regionalization results correspond with the topographic features of Jeju Island and Busan, showing the validity.

SAR 위성영상 해상풍 추출 소프트웨어 비교 (Comparison of Offshore Wind Retrieval Software from SAR Satellite Imagery)

  • 김현구;황효정;강용혁;윤창열
    • 신재생에너지
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    • 제9권3호
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    • pp.14-19
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    • 2013
  • Comparative evaluation of offshore wind retreival software, which use the satellite images taken by Synthetic Aperture Radar sensor; SARTools of CLS-SOPRONO, France and SpaceEye of London Research and Development Corporation, Canada is carried out. For a reference satellite image, ENVISAT ASAR imagery of Jeollanam-do Wan-do area when the winter-time northwestern wind prevails is processed by CMOD_IFR2, CMOD4, CMOD5 algorithms. Wind speed difference and its relative ratio are calculated to evaluate uncertainty of software selection.

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.

새만금 고군산군도 말도 유역에 대한 바람에너지 분석 (Analysis of Wind Resource on Maldo Island of Kokunsangun-do, Saemangeum)

  • 강상균;유성호;이장호;박성신;김형주
    • 풍력에너지저널
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    • 제9권4호
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    • pp.65-71
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    • 2018
  • To establish an offshore wind turbine test site, a wind resource assessment of the candidate site is required as a preliminary procedure. The wind resource assessment must be performed with at least one year of wind data. If the assessment is performed with short-term wind data, the results cannot validate the wind conditions of the candidate site. This study performs wind resource assessment of Kokunsangun-do to investigate the wind conditions of the candidate site. The wind data is measured by the Automatic Weather System (AWS) of the Korea Meteorological Administration, located at Maldo. The data is for five years, measured from 2013 to 2017. Measured wind data is statistically processed with a 10-minute average scheme to find out the dominant wind direction and wind power density, with yearly wind speed distribution (Weibull-based). This study contributes to build a database of wind energy resources around Maldo. Also, the results of this study could be used for the establishment of an offshore wind turbine test site.

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.

해상기상관측 시스템 및 실시간 원격 모니터링시스템 개발 (The Development of Offshore Wind Resource Measurement System and Remote Monitoring System)

  • 고석환;장문석;이윤섭
    • 한국태양에너지학회 논문집
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    • 제31권6호
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    • pp.72-77
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    • 2011
  • The purpose for installation of offshore weather station is a measurement of wind resources and so on. If weather station is operated, it will be possible to analysis for wind resource and arrangement of wind farm by using measured data. In this paper, we carried out the development of offshore wind resource measurement system for measuring offshore wind resource. Also, In order to monitor for real-time wind data with 1 Hz, we installed the wireless transmission system. All wind characteristic data are sent to the server PC through the this system is connected outport of DataLogger. Transmitted wind data were used in order to look at in the Web-page and tablet PC on a real time basis in a graph. In this paper, we will introduce about the wind resource measurement and remote monitoring system that is the result of study.

태양에너지학회 논문집의 풍력에너지 연구동향 분석 (Review of Trends in Wind Energy Research Publications in Journal of the Korean Solar Energy Society)

  • 김현구
    • 한국태양에너지학회 논문집
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    • 제40권4호
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    • pp.1-11
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    • 2020
  • The Journal of the Korean Solar Energy Society is the first journal in South Korea that adopts wind energy as one of its subjects. Since 2000, more than 140 papers on wind energy have been published in the journal, which accounts for 8.5% of the total publication. However, in recent years, the number of published papers on wind energy has been decreasing steadily, and a reason for this decline is the significant dependence on a few specific institutions and authors. In this study, wind energy subjects were classified using the frequency analysis of the subject words extracted from the title, keywords, and abstract of wind energy papers using the text mining technique. In addition, the Korea Citation Index was used to perform quantitative level evaluation by subject and institution and to analyze the trends and characteristics of the wind energy field. Therefore, it was identified that in terms of the number of publications and citations, the main subject areas were resource/micrositing and policy/potential.