• Title/Summary/Keyword: wind resource

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

  • Kim, Hyun-Goo;Hwang, Hyo-Jung;Kang, Young-Heaok
    • Journal of Environmental Science International
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    • v.22 no.6
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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.

Wind Resource Assessment of Antarctic King Sejong Station (남극 세종기지의 풍력자원 분석)

  • Bae, Jae-Sung;Jang, Moon-Seok;Ju, Young-Chul;Yoon, Jeong-Eun;Kyong, Nam-Ho
    • Journal of the Korean Solar Energy Society
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    • v.25 no.3
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    • pp.53-60
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    • 2005
  • Energy resource is very important to the survival in the polar region. Wind energy, which is one of renewable energy, can guarantee the clean, inexhaustible, natural resource in the polar region. It is essential to assess the wind energy resource of the site where wind turbines will be installed. In the present study, the wind characteristics of the antarctic King Sejong station are analysed from its meteorological observation data. The wind resource of the Sejong station is also simulated and predicted using WAsP program. From the results, the Sejong station has very excellent wind resource and the site where small wind turbines will be installed is determined.

Study on Establishment of Wind Map of the Korean Peninsula(II. Low-Resolution Wind Mapping and Wind Resource Information System) (한반도 바람지도 구축에 관한 연구(II. 저해상도 바람지도화 및 풍력자원 정보체계))

  • Kim, Hyun-Goo;Jang, Moon-Seok
    • New & Renewable Energy
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    • v.3 no.1 s.9
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    • pp.20-26
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    • 2007
  • A low-resolution national wind map, which is a prerequisite for setting up the national dissemination target and strategy of wind energy development, has been established by numerical wind simulation using the synoptic wind map, developed at the first stage, as an upper boundary condition. Based on the wind map, Wind Resource Information System has been composed in order to support scientific and systematic wind resource assessment and analysis.

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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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Evaluation of Onshore Wind Resource Potential According to the Road Proximity (도로인접성에 따른 육상 풍력자원 잠재량 평가)

  • Kim, Hyun-Goo;Hwang, Hyo-Jung;Kang, Yong-Heack;Yun, Chang-Yeol
    • New & Renewable Energy
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    • v.9 no.4
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    • pp.13-18
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    • 2013
  • Wind turbines should generally be installed at a certain distance from a road to ensure passengers' safety. In Korea, there is no clear guidance as the Ministry of Environment first proposed a road setback distance of 400 m in the Onshore Wind Farm Siting Guidelines draft proposed in July 2012, and then modified it to 1.5 times the height of the wind turbine in October of the same year. This study analyzed the dynamic range of onshore wind resource potential according to how the road setback distance is set using the Korea Wind Atlas with 100m spatial resolution made by the Korea Institute of Energy Research, the transportation network of the Ministry of Construction and Transportation, and the forest road network of the Korea Forestry Service. Owing to the geographical characteristics of Korea, where mountainous terrain accounts for 70% of the total territory, the wind resource potential within 1 km from forest roads are estimated to be 14.3 GW, 14% of Korea's total wind resource potential. In addition, the construction distance of new road for transporting wind turbines from the existing road to a wind farm site is estimated as less than 2 km. Given the limited wind resource potential and geographical constraints, an assessment system that can maximize wind resource utilization and ensure road safety at the same time, and which takes into account the regional characteristics instead of applying the fixed road setback distance across-the-road, is required.

Calculation of Vertical Wind Profile Exponents and Its Uncertainty Evaluation - Jeju Island Cases (풍속고도분포지수 산정 및 불확도 평가 - 제주도 사례)

  • Kim, You-Mi;Kim, Hyun-Goo;Kang, Yong-Heack;Yun, Chang-yeol;Kim, Jin-Young;Kim, Chang Ki;Kim, Shin-Young
    • Journal of the Korean Solar Energy Society
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    • v.36 no.4
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    • pp.11-20
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    • 2016
  • For accurate wind resource assessment and wind turbine performance test, it is essential to secure wind data covering a rotor plane of wind turbine including a hub height. In general, we can depict wind speed profile by extrapolating or interpolating the wind speed data measured from a meteorological tower where multiple anemometers are mounted at different heights using a power-law of wind speed profile. The most important parameter of a power-law equation is a vertical wind profile exponent which represents local characteristics of terrain and land cover. In this study, we calculated diurnal vertical wind profile exponents of 8 locations in Jeju Island who possesses excellent wind resource according to the GUM (Guide to the Expression of Uncertainty in Measurement) to evaluate its uncertainty. Expanded uncertainty is calculated by combined standard uncertainty, which is the result of composing type A standard uncertainty with type B standard uncertainty. Although pooled standard deviation should be considered to derive type A uncertainty, we used the standard deviation of vertical wind profile exponent of each day avoiding the difficult of uncertainty evaluation of diurnal wind profile variation. It is anticipated that the evaluated uncertainties of diurnal vertical wind profile exponents at 8 locations in Jeju Island are to be registered as a national standard reference data and widely used in the relevant areas.

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
    • Journal of Environmental Science International
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    • v.22 no.10
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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.

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

  • Kang, Sangkyun;You, Sungho;Lee, Jang-ho;Pak, Sungsine;Kim, Hyeong-Joo
    • Journal of Wind Energy
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    • v.9 no.4
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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.

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

  • Kim, Hyun-Goo;Jang, Moon-Seok;Kyong, Nam-Ho;Lee, Hwa-Woon;Choi, Hyun-Jeong;Kim, Dong-Hyuk
    • Journal of the Korean Solar Energy Society
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    • v.26 no.4
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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.

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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    • v.10 no.2
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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.