• 제목/요약/키워드: Wind Resource Assessment

검색결과 85건 처리시간 0.027초

육·해상 풍력자원평가를 위한 ERA-Interim 재해석 데이터의 적용 (Application of ERA-Interim Reanalysis Data for Onshore and Offshore Wind Resource Assessment)

  • 변종기;고경남
    • 한국태양에너지학회 논문집
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    • 제37권2호
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    • pp.1-11
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    • 2017
  • The investigation on reliability of ERA-Interim reanalysis wind data was conducted using wind data from the five met masts measured at inland and coastal areas, Jeju island. Shinchang, Handong, Udo, Susan and Cheongsoo sites were chosen for the met mast location. ERA-Interim reanalysis data at onshore and offshore twenty points over Jeju Island were analyzed for creating Wind Statistics using WindPRO software. Reliability of ERA-Interim reanalysis wind data was assessed by comparing the statistics from the met mast wind data with those predicted at the interest point using the Wind Statistics. The relative errors were calculated for annual average wind speed and annual energy production. In addition, the trend of the error was analyzed with distance from met mast. As a result, ERA-Interim reanalysis wind data was more suitable for offshore wind resource assessment than onshore.

MERRA 재해석자료를 이용한 서해상 풍력자원평가 (Wind Resource Assessment on the Western Offshore of Korea Using MERRA Reanalysis Data)

  • 김현구;장문석;유기완
    • 풍력에너지저널
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    • 제4권1호
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    • pp.39-45
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    • 2013
  • Massive offshore wind projects of have recently been driven in full gear on the Western Offshore of Korea including the 2.5 GW West-Southern Offshore Wind Project of the Ministry of Trade, Industry and Energy, and the 5 GW Offshore Wind Project of the Jeollanamdo Provincial Government. On this timely occasion, this study performed a general wind resource assessment on the Western Offshore by using the MERRA reanalysis data of temporal-spatial resolution and accuracy greatly improved comparing to conventional reanalysis data. It is hard to consider that wind resources on the Western Sea are excellent, since analysis results indicated the average wind speed of 6.29 ± 0.39 m/s at 50 m above sea level, and average wind power density of 307 ± 53 W/m2. Therefore, it is considered that activities shall be performed for guarantee economic profits from factor other than wind resources when developing an offshore wind project on the Western Offshore.

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

  • 김석우;김현구
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2007년도 추계학술대회 논문집
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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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풍력자원평가용 윈드큐브 라이다와 씬텍 소다의 비교.검증 - 잠실 원격탐사 캠페인 (Comparative Validation of WindCube LIDAR and Scintec SODAR for Wind Resource Assessment - Remote Sensing Campaign at Jamsil)

  • 김현구;김동혁;전완호;최현정
    • 신재생에너지
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    • 제7권2호
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    • pp.43-50
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    • 2011
  • The only practical way to measure wind resource at high-altitude over 100 m above ground for a feasibility study on a high-rise building integrated wind turbine might be ground-based remote sensing. The remote-sensing campaign was performed at a 145 m-building roof in Jamsil where is a center of metropolitan city Seoul. The campaign aimed uncertainty assessment of Leosphere WindCube LIDAR and Scintec MPAS SODAR through a mutual comparison. Compared with LIDAR, the data availability of SODAR was about 2/3 at 550 m altitude while both showed over 90% under 400 m, and it is shown that the data availability decrease may bring a distortion of statistical analysis. The wind speed measurement of SODAR was fitted to a slope of 0.92 and $R^2$ of 0.90 to the LIDAR measurement. The relative standard deviation of wind speed difference and standard deviation of wind direction difference were evaluated to be 30% and 20 degrees, respectively over the whole measurement heights.

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

  • 김현구;장문석
    • 신재생에너지
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    • 제3권1호
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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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풍력자원평가를 위한 단순지형에서의 육상 기상탑 바람 데이터의 상호 적용 (Mutual Application of Met-Masts Wind Data on Simple Terrain for Wind Resource Assessment)

  • 손진혁;고경남;허종철;김인행
    • 동력기계공학회지
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    • 제21권6호
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    • pp.31-39
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    • 2017
  • In order to examine if met-masts wind data can exchange each other for wind resource assessment, an investigation was carried out in Kimnyeong and Haengwon regions of Jeju Island. The two regions are both simple terrain and 4.31 km away from each other. The one-year wind speed data measured by 70 m-high anemometers of each met-mast of the two regions were analysed in detail. Measure-Correlate-Predict (MCP) method was applied to the two regions using the 10-year Automatic Weather System (AWS) wind data of Gujwa region for creating 10-year Wind Statistics by running WindPRO software. The two 10-year Wind Statistics were applied to the self-met mast point for self prediction of Annual Energy Production (AEP) and Capacity Factor (CF) and the each other's met mast point for mutual prediction of them. As a result, when self-prediction values were reference, relative errors of mutual prediction values were less than 1% for AEP and CF so that met masts wind data under the same condition of this study could exchange each other for estimating accurate wind resource.

풍력에너지 개발을 위한 자원평가 및 엔지니어링 설계 (Resource Assessment and Engineering Design for Wind Energy Development)

  • 김성국
    • 기술사
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    • 제42권1호
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    • pp.49-53
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    • 2009
  • Wind energy development and wind farm construction request multi-disciplinary study and coordination to pursuit economically and technically feasible project that may deliver a viable business model. This paper is to provide the study and coordination procedure with key management factors about the wind energy resource assessment and engineering design for EPC(Engineering, Procurement and Construction) contract for the successful business development.

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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.

해상풍력단지 입지전략 GIS 분석 (GIS Analysis on Siting Strategy of Offshore Wind Farm)

  • 송규봉;김현구
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2009년도 춘계학술대회 논문집
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    • pp.460-462
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    • 2009
  • This study has analyzed the scale, location, resource potential and feasibility of offshore wind farm scientifically and systematically based on the national wind map and GIS (Geographic Information System). For long-term wind power development, this study pursues siting strategy building, selection of target area and deciding development priority as well as the presenting a basis for assessment that are necessary for policy decision making by making theme layers under GIS environment. According to the analysis after organizing technological development by stages, even if only the most suitable sites are developed among the area of offshore wind farm candidates that can be developed under the current technological standard, it has been evaluated as being able to develop about 3 times of the wind power dissemination target until 2012. It is expected that about 5% of territorial water area can be developed in a short-term future while the southern offshore area possessing relatively favorable wind resource than the western offshore has been identified as the most feasible site. While about 23% of territorial water area has been classified as potential area for offshore wind farm development in a long-term future, even Jeju Island and offshore of Ulsan possessing excellent wind resource have been analyzed as feasible sites. The feasibility assessment of offshore wind farm development established by this study is expected to assist national strategy building for accomplishing the wind power dissemination target.

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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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