• Title/Summary/Keyword: wind resource

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The Study of the Wind Resource and Energy Yield Assessment for the Wind Park Development (풍력자원해석 및 에너지예측을 통한 풍력발전단지 설계 연구)

  • Byun, Hyo-In;Ryu, Ji-Yune;Kim, Doo-Hoon
    • New & Renewable Energy
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    • v.1 no.2 s.2
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    • pp.19-25
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    • 2005
  • This study explains ther procedure that should be taken to develp a successful wind park project. It provides a guideline for the activities and studies to be done as a step by step solution. This study follows a chronological flow throughout the whole development Process. This Paper covers technical consideration, assessment of wind energy resource, wind Park siting and energy yield calculation This presented knowledge h3s been mostly gained by the experience from Youngduk wind park project. The further comparison study will be performed between the theoretical prediction and the actual yield of the Youngduk wind park.

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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
    • Journal of the Korean Solar Energy Society
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    • v.27 no.3
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    • pp.29-35
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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.

Analysis of Wind Energy Resource & Case study for Wind Park Siting (풍력발전단지 개발을 위한 풍자원 해석 및 단지 설계)

  • Byun, Hyo-In;Ryu, Ji-Yune;Kim, Doo-Hoon
    • 한국신재생에너지학회:학술대회논문집
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    • 2005.06a
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    • pp.21-24
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    • 2005
  • This study explains the procedure that should be taken to develop a successful wind park project. It Provide guideline for activities and studies to be done step by step solution. This study follow a chronological flow through the development process. They cover Technical consideration, Assessment of Wind Energy Resource, Wind park siting and Energy yield calculation. It's build on the experience gained by the Youngduk Wind Park project and give the playa role in the development of wind energy projects. It is important to understand all theses issues if a new project is to be successfully completed.

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

  • Park, Ung-Sik;Yoo, Neung-Soo;Kim, Jin-Han;Kim, Kwan-Soo;Min, Deok-Ho;Lee, Sang-Woo;Paek, In-Su;Kim, Hyun-Goo
    • Journal of the Korean Solar Energy Society
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    • v.35 no.2
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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.

Practical Application of Remote-Sensing Data for Offshore Wind Resource Assessment (해상 풍력자원평가를 위한 원격탐사자료의 활용)

  • Kim, Hyun-Goo;Hwang, Hyo-Jeong;Kyong, Nam-Ho
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.05a
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    • pp.319-320
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    • 2008
  • This paper introduces remote-sensing data which can be practically applied for offshore wind resource assessment. Development of offshore wind energy is inevitable for Korea to achieve the national dissemination target of renewable energy, i.e., 5% uptil 2010. However, the only available offshore in-situ measurement, marine buoy data would not represent areal wind characteristics. Consequently, remote-sensing technology has been started to apply to offshore wind resource assessment and is actively developing. Among them, NCAR/NCEP reanalysis dataset, QuikSCAT blended dataset, and offshore wind retrieval from SAR imagery are briefly summarized in this paper.

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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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Meteor-Statistical Analysis for Establishment of Jejudo Wind Resource Database (제주도 풍력자원 데이터베이스 구축을 위한 기상통계분석)

  • Kim, Hyun-Goo;Jang, Moon-Seok;Lee, Eon-Jeong
    • Journal of Environmental Science International
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    • v.17 no.6
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    • pp.591-599
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    • 2008
  • In order to support the development of wind farms in Jejudo, a wind resource database for Jejudo has been established using a meteor-statistical analysis of KIER(Korea Institute of Energy Research) met-mast measurements and KMA(Korea Meteorological Administration) weather data. The analysis included wind statistics, tower shading, an exposure category classification using satellite images, the effect of atmospheric stability on the wind profile exponent, and a correlation matrix of wind speed to gain an understanding of the meteorological correlation between long-term weather observation stations and short-term met-mast measurements. The wind resource database for Jejudo, is to be provided as an add-on to Google $Earth^{TM}$, which is expected to be utilized as a guideline for the selection of an appropriate reference site for long-term correction in the next wind farm development project.

Analysis of Wind Environments for Siting a Wind Farm (풍력발전 단지조성을 위한 바람환경 분석)

  • 김현구;최재우;손정봉;정우식;이화운
    • Journal of Korean Society for Atmospheric Environment
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    • v.19 no.6
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    • pp.745-756
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    • 2003
  • An analysis of wind environments using computational fluid dynamics and an evaluation of wind resources using measurement data obtained from meteorological observation sites at Homi-Cape, Pohang have been carrid out for siting a wind farm. It was shown that a numerical simulation using computational fluid dynamics would provide reliable wind resource map in complex terrain with land-sea breeze condition. As a result of this investigation, Homi-Cape wind farm with 11.25 ㎿ capacity has been designed for maximum power generation and 25.7 GWh electricity production is predicted.

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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Comparative Validation of WindCube LIDAR and Remtech SODAR for Wind Resource Assessment - Remote Sensing Campaign at Pohang Accelerator Laboratory (풍력자원평가용 윈드큐브 라이다와 렘텍 소다의 비교.검증 - 포항가속기 원격탐사 캠페인)

  • Kim, Hyun-Goo;Chyng, Chin-Wha;An, Hae-Joon;Ji, Yeong-Mi
    • Journal of the Korean Solar Energy Society
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    • v.31 no.2
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    • pp.63-71
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    • 2011
  • The remote-sensng campaign was performed at the Pohang Accelerator Laboratory where is located in a basin 6km inland from Yeongil Bay. The campaign aimed uncertainty assessment of Remtech PA0 SODAR through a mutual comparison with WindCube LIDAR, the remote-sensing equipment for wind resource assessment. The joint observation was carried out by changing the setup for measurement heights three times over two months. The LIDAR measurement was assumed as the reference and the uncertainty of SODAR measurement was quantitatively assessed. Compared with LIDAR, the data availability of SODAR was about half. The wind speed measurement was fitted to a slope of 0.94 and $R^2$ of 0.79 to the LIDAR measurement. However, the relative standard deviation was about 17% under 150m above ground level. Therefore, the Remtech PA0 SODAR is judged to be unsuitable for the evaluation of wind resource assessment and wind turbine performance test, which require accuracy of measurement.