• Title/Summary/Keyword: 풍력 자원

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

  • Kim, Hyun-Goo;Jang, Moon-Seok;Kyong, Nam-Ho
    • 한국신재생에너지학회:학술대회논문집
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    • 2006.11a
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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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Estimation Method of Wind Resource Potential in South Korea (남한 풍력자원 잠재량 산정방법)

  • Kim, Hyun-Goo
    • 한국태양에너지학회:학술대회논문집
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    • 2008.11a
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    • pp.310-313
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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 s offshore exclusion conditions. To estimate implementation potential, dissemination records of European countries are adopted which is about 1/8 of geographical potential.

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Wind Resource Assessment of the Antarctic King Sejong Station by Computational Flow Analysis (남극 세종기지의 전산유동해석에 의한 풍력자원평가)

  • Kim, Seok-Woo;Kim, Hyun-Goo
    • 한국신재생에너지학회:학술대회논문집
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    • 2007.11a
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    • pp.376-377
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    • 2007
  • In accordance with Madrid and Kyoto Protocols, a 10kW wind turbine installed about 625m away from the King Sejong Station in the Antarctica has been in operation successfully. The current location of the wind turbine has different geographic surroundings from the previous candidate site considered in 2005 and that makes re-evaluation of wind resource at the current site including geographic effects necessary. Especially, strong wind flow derived by steep and complex terrain is dominant in the Antarctica so that computational flow analysis is required. The wind rose measured at the previous and current installation location are identical with strong meteorological correlation but prevailing directions of wind power density are different because of local wind acceleration due to complex terrain. Numerical analysis explains which effects brings this discordance between the two sites, and a design guideline required for additional wind turbine installation has been secured.

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A Study on Wind Environment Analysis for the Evaluation of Wind Resources (풍력자원 평가를 위한 바람환경 분석 연구)

  • 김현구;최재우;이화운;정우식
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2003.11a
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    • pp.57-58
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    • 2003
  • 산업자원부에서 $\ulcorner$대체에너지 개발 보급 3개년 계획(2002년 4월)$\lrcorner$ $\ulcorner$대체에너지이용 발전전력의 기준 가격 지침(2002년 5월)$\lrcorner$을 시행하여 대체에너지 생산 전력을 보상.지원함에 따라 국내에서도 본격적인 대체에너지 시대가 시작되었다. 특히 최근에는 지방자치단체를 중심으로 풍력발전사업이 활발하게 진행되고 있다. 일반적으로 바람은 지형조건과 기후특성에 영향을 받는데, 특히 우리나라와 같이 국토의 70%가 산지이며 사계절이 분명하고 반도 기상특성으로 인해 계절풍과 해륙풍이 존재하는 조건에서의 국지 바람장은 예측하기 힘든 매우 복잡한 양상을 보인다. (중략)

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Estimation Method of Wind Resource Potential Using a National Wind Map (국가바람지도에 의한 풍력자원 잠재량 산출방법)

  • Kim, Hyun-Goo;Jang, M.S.;Kim, E.I.;Lee, H.W.;Lee, S.H.;Kim, D.H.
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.10a
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    • pp.332-333
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    • 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.

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The Seasonal Characteristics of the Wind Resource Distribution on the Korean Peninsula (한반도 풍력 자원 분포의 계절별 특성)

  • Lee, Hwa-Woon;Kim, Min-Jung;Lee, Soon-Hwan;Kim, Dong-Hyeuk;Kim, Hyun-Goo
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.10a
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    • pp.347-348
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    • 2008
  • Wind energy issued as most spotlight general energy by excellence of actuality as well as economical efficiency, solving environmental problem which caused by creating the energy and possibility of eternal production. Accordingly, government is at the stage of corresponding level by requesting development of new technology to the developed countries as a part of national key industries. The grievous situation from such a rapid movement is meteorological comprehension and assessment as well as the problem of estimation exactness about the wind. In this study, numerical simulation from the MM5 is counducted for 3km resolution and data assimilation using QuikSCAT seawinds data is applied.

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

  • Kim, Hyun-Goo
    • Journal of the Korean Solar Energy Society
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    • v.28 no.6
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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.

An Assessment of Offshore Wind Energy Resources around Korean Peninsula (한반도해역의 해상 풍력 자원 평가)

  • Kyong, N.H.;Yoon, J.E.;Jang, M.S.;Jang, D.S.
    • Journal of the Korean Solar Energy Society
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    • v.23 no.2
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    • pp.35-41
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    • 2003
  • In order to investigate the offshore wind resources around Korean peninsula, the "QuikSCAT Level 3" data by ADEOS II satellite was analyzed from Jan 1 2000 to Jan 18 2003. The "SeaWinds" on the satellite is a specialize4 device for microwave scatterometery that measures near-surface wind speed and direction under all weather and cloud conditions. Wind speed are extrapolated from 10m to 60m with the exponent of 1/10 in the power law model. It has been found that the High wind energy potentials are prevailing in the South sea and Southeastern end of Korean peninsula.

Establishment of The Wind Resource Database of Jejudo by Meteo-Statistical Analysis (기상통계분석에 의한 제주도 풍력자원 데이터베이스 구축)

  • Kim, Hyun-Goo;Jang, Mun-Seok;Kyong, Nam-Ho
    • 한국신재생에너지학회:학술대회논문집
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    • 2006.06a
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    • pp.296-297
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    • 2006
  • In order to support wind power development, the wind resource database of Jejudo has been established by meteo-statistical analysis on meteorological-mast measurements of KIER. Analysis processes contain correlation of monthly wind speed and power-law exponent among neighboring sites, Measure-Correlated-Predict for long-term correlation, classification of exposure category using satellite image and so forth. It is found that the monthly variations of wind speed and power-law exponent depend on seasonal winds and characterize wind system of Jejudo.

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