• 제목/요약/키워드: Wind Power density

검색결과 206건 처리시간 0.029초

3.0MW 풍력발전기 출력 성능 및 불확실성 분석 (ANALYSIS OF POWER PERFORMANCE AND UNCERTAINTY FOR A 3.0MW WIND TURBINE)

  • 허수영;김경보;허종철
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2010년 춘계학술대회논문집
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    • pp.28-31
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    • 2010
  • In order to clarify the characteristics of power performance and uncertainty of a wind turbine, an investigation was performed in Hangyeong wind farm, Jeju island, Korea. Data were collected for 12 months from Feb. 2, 2008 to Jan. 1, 2009. This study was conducted on the base of the International standard, and observed the methods of mesurement and evaluation form IEC 61400-12. As a result, power performance curve was calculated by measured data and compared with the sixth unit of VESTAS V90-3.0MW in Hangyeong wind farms. In consequence of this paper, uncertainty was estimated from 7% to 14% on the range of the average wind speed from 4m/s to 11m/s.

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해상풍력자원 평가를 위한 ERA-Interim/MERRA 재해석 데이터 신뢰성 평가 (Reliability assessment of ERA-Interim/MERRA reanalysis data for the offshore wind resource assessment)

  • 변종기;손진혁;고경남
    • 동력기계공학회지
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    • 제20권4호
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    • pp.44-51
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    • 2016
  • An investigation on reliability of reanalysis wind data was conducted using the met mast wind data at four coastal regions, Jeju Island. Shinchang, Handong, Udo and Gangjeong sites were chosen for the met mast sites, and ERA-Interim and MERRA reanalysis data at two points on the sea around Jeju Island were analyzed for creating Wind Statistics of WindPRO software. Reliability of reanalysis wind data was assessed by comparing the statistics from the met mast wind data with those from Wind Statistics of WindPRO software. The relative error was calculated for annual average wind speed, wind power density and annual energy production. In addition, Weibull wind speed distribution and monthly energy production were analyzed in detail. As a result, ERA-Interim reanalysis data was more suitable for wind resource assessment than MERRA reanalysis data.

Wind tunnel tests on flow fields of full-scale railway wind barriers

  • Su, Yang;Xiang, Huoyue;Fang, Chen;Wang, Lei;Li, Yongle
    • Wind and Structures
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    • 제24권2호
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    • pp.171-184
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    • 2017
  • The present study provides a deeper understanding of the flow fields of a full-scale railway wind barriers by means of a wind tunnel test. First, the drag forces of the three wind barriers were measured using a force sensor, and the drag force coefficients were compared with a similar scale model. On this basis, the mean wind velocity and turbulence upwind and downwind of the wind barriers were measured. The effects of pore size and opening forms of the wind barrier were discussed. The results show that the test of the scaled wind barrier model may be unsafe, and it is suitable to adopt the full-scale wind barrier model. The pore size and the opening forms of wind barriers have a slight influence on the flow fields upwind of the wind barrier but have some influences on the flow fields and power spectra downwind of the wind barrier. The smaller pore size generates a lower turbulence density and value of the power spectrum near the wind barrier, and the porous wind barriers clearly provide better shelter than the bar-type wind barriers.

행원 풍력발전단지의 WAsP 적용 및 평가 (Application and Assessment of WAsP for Haengwon Wind Farm)

  • 변수환;고경남;허종철
    • 한국태양에너지학회 논문집
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    • 제24권3호
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    • pp.1-7
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    • 2004
  • Using WAsP, which is PC-program for the vertical and horizontal extrapolation of wind data, annual energy production as well as wind energy density has been predicted for Haengwon wind farm in Jeju island. The predicted results were compared with real data derived from wind turbines in Haengwon wind farm. As the results, in order to produce more electric power, new wind turbines should be located along coastal line, which has comparatively high wind energy density. Also, the roughness length should be inputted to the Map Editor program for better agreement with real annual energy production.

풍력발전시스템용 증속기의 최적화 설계요소에 관한 연구 (Study of Optimal Design Parameter for Gearbox on Wind Power System)

  • 이근호;성백주;최용혁
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2003년도 춘계학술대회 논문집
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    • pp.737-741
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    • 2003
  • The wind power system is spotlighted as one of the no-pollution power generation systems. The system uses winds as power source that are rotated the blade and the rotating power from blade generate the electricity power. Gearbox needs to transfer the wind powers that have the high-torque-low-speed characteristics to generator that have the low-torque-high-speed characteristics. Because the wind power system generally locates the remote place like seaside or mountainside and the gearbox installs on the limited and high placed space, the gearbox of the wind power system is required the optimal space design and high reliability. In this paper, the structure of the gearbox is proposed to achieve the optimal space and efficiency by compounding the planetary gear train that has the high power density and parallel type gear train that has the long service life. The design parameters that are affected the service life are studied. The gear ratio and face width are investigated as an affected parameter for design sensitivity of service life.

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제주 연안지역 주변의 잠재 풍력에너지 평가 (Assessment of Wind Energy Potential around Jeju Coastal Area)

  • 김남형;진정운
    • 대한토목학회논문집
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    • 제30권6B호
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    • pp.617-625
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    • 2010
  • 풍속의 세제곱에 비례하는 풍력발전기의 전기발전량을 효과적으로 증대시키기 위해서는, 풍속이 강한 부지 선정이 중요하다. 일반적으로 내륙지역보다 풍속이 강한 연안지역에 풍력발전기를 설치하는 것이 바람직하다. 또, 해상풍력개발은 풍력발전기의 중요한 단점 중 하나인 소음 문제를 해결할 수 있는 방법으로 기대된다. 풍력개발 사업을 실행하는 과정에서, 어떤 지역의 풍력발전 가능성을 미리 파악하는 것은 풍력발전의 최적지를 선정하는데 있어서 중요한 요소들 중 하나이다. 본 연구는 기상청이 10년간 관측한 제주도 14개 지역의 풍향 및 풍속데이터를 가지고 제주 연안지역의 풍력발전 가능성에 대해 검토하였다. 풍력발전기의 설치높이를 80 m로 가정하고 풍속데이터를 보정하였으며, 이 값을 가지고 풍력에너지 밀도와 연간 풍력에너지량을 산출하였다. 그리고 모든 관측지점의 연간 전기발전량과 에너지취득률은 3,000 KW 풍력발전기에 관한 정보를 이용하여 산출되었다.

Across-wind dynamic loads on L-shaped tall buildings

  • Li, Yi;Li, Qiu-Sheng
    • Wind and Structures
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    • 제23권5호
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    • pp.385-403
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    • 2016
  • The across-wind dynamic loads on L-shaped tall buildings with various geometric dimensions were investigated through a series of wind tunnel testing. The lift coefficients, power spectral densities and vertical correlation coefficients of the across-wind loads were analyzed and discussed in details. Taking the side ratio and terrain category as key variables, empirical formulas for estimating the across-wind dynamic loads on L-shaped tall buildings were proposed on the basis of the wind tunnel testing results. Comparisons between the predictions by the empirical formulas and the wind tunnel test results were made to verify the accuracy and applicability of the proposed formulas. Moreover, a simplified procedure to evaluate the across-wind dynamic loads on L-shaped tall buildings was derived from the proposed formulas. This study aims to provide a simple and reliable way for the estimation of across-wind dynamic loads on L-shaped tall buildings.

파력발전 적지 선정을 위한 제주 해역 파랑에너지 분포특성 연구 (Wave Energy Distribution at Jeju Sea and Investigation of Optimal Sites for Wave Power Generation)

  • 홍기용;류황진;신승호;홍석원
    • 한국해양공학회지
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    • 제18권6호
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    • pp.8-15
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    • 2004
  • Wave power distribution is investigated to determine the optimal sites for wave power generation at Jeju sea which has the highest wave energy density in the Korean coastal waters. The spatial and seasonal variation of wave power per unit length is calculated in the Jeju sea area based on the monthly mean wave data from 1979 to 2002 which is produced by the SWAN wave model simulation in prior research. The selected favorable locations for wave power generation are compared in terms of magnitude of wave energy density and distribution characteristics of wave parameters. The results suggest that Chagui-Do is the most optimal site for wave power generation in the Jeju sea. The seasonal distribution of wave energy density reveals that the highest wave energy density occurs in the northwest sea in the winter and it is dominated by wind waves, while the second highest one happens at south sea in the summer and it is dominated by a swell sea. The annual average of wave energy density shows that it gradually increases from east to west of the Jeju sea. At Chagui-Do, the energy density of the sea swell sea is relatively uniform while the energy density of the wind waves is variable and strong in the winter.

한반도 바람자원의 시공간적 분포 (Spatial and temporal distribution of Wind Resources over Korea)

  • 김도우;변희룡
    • 대기
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    • 제18권3호
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    • pp.171-182
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    • 2008
  • In this study, we analyzed the spatial and temporal distribution of wind resources over Korea based on hourly observational data recorded over a period of 5 years from 457 stations belonging to Korea Meteorological Administration (KMA). The surface and 850 hPa wind data obtained from the Korea Local Analysis and Prediction System (KLAPS) and the Regional Data Assimilation and Prediction System (RDAPS) over a period of 1 year are used as supplementary data sources. Wind speed is generally high over seashores, mountains, and islands. In 62 (13.5%) stations, mean wind speeds for 5 years are greater than $3ms^{-1}$. The effects of seasonal wind, land-sea breeze, and mountain-valley winds on wind resources over Korea are evaluated as follows: First, wind is weak during summer, particularly over the Sobaek Mountains. However, over the coastal region of the Gyeongnam-province, strong southwesterly winds are observed during summer owing to monsoon currents. Second, the wind speed decreases during night-time, particularly over the west coast, where the direction of the land breeze is opposite to that of the large-scale westerlies. Third, winds are not always strong over seashores and highly elevated areas. The wind speed is weaker over the seashore of the Gyeonggi-province than over the other seashores. High wind speed has been observed only at 5 stations out of the 22 high-altitude stations. Detailed information on the wind resources conditions at the 21 stations (15 inland stations and 6 island stations) with high wind speed in Korea, such as the mean wind speed, frequency of wind speed available (WSA) for electricity generation, shape and scale parameters of Weibull distribution, constancy of wind direction, and wind power density (WPD), have also been provided. Among total stations in Korea, the best possible wind resources for electricity generation are available at Gosan in Jeju Island (mean wind speed: $7.77ms^{-1}$, WSA: 92.6%, WPD: $683.9Wm^{-2}$) and at Mt. Gudeok in Busan (mean wind speed: $5.66ms^{-1}$, WSA: 91.0%, WPD: $215.7Wm^{-2}$).

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

  • 김현구;장문석;김은일;이화운;이순환;김동혁
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2008년도 추계학술대회 논문집
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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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