• Title/Summary/Keyword: 풍속 프로파일

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Numerical Estimation of Wind Loads on FLNG by Computational Fluid Dynamics (전산유체역학을 이용한 FLNG의 풍하중 추정에 관한 연구)

  • Sang-Eui, Lee
    • Journal of Navigation and Port Research
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    • v.46 no.6
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    • pp.491-500
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    • 2022
  • It has been noted that an accurate estimation of wind loads on offshore structures such as an FLNG (Liquefied Natural Gas Floating P roduction Storage Offloading Units, LNG FPSOs) with a large topside plays an important role in the safety design of hull and mooring system. Therefore, the present study aims to develop a computational model for estimating the wind load acting on an FLNG. In particular, it is the sequel to the previous research by the author. The numerical computation model in the present study was modified based on the previous research. Numerical analysis for estimating wind loads was performed in two conditions for an interval of wind direction (α), 15° over the range of 0° to 360°. One condition is uniform wind speed and the other is the NPD model reflecting the wind speed profile. At first, the effect of sand-grain roughness on the speed profile of the NPD model was studied. Based on the developed NPD model, mesh convergence tests were carried out for 3 wind headings, i.e. head, quartering, and beam. Finally, wind loads on 6-degrees of freedom were numerically estimated and compared by two boundary conditions, uniform speed, and the NPD model. In the present study, a commercial RANS-based viscous solver, STAR-CCM+ (ver. 17.02) was adopted. In summary, wind loads in surge and yaw from the wind speed profile boundary condition were increased by 20.35% and 34.27% at most. Particularly, the interval mean of sway (45° < α <135°, 225° < α < 315°) and roll (60° < α < 135°, 225° < α < 270°) increased by 15.60% and 10.89% against the uniform wind speed (10m/s) boundary condition.

Evaluation of Wind Speed Depending on Pulse Resolution of UHF Wind Profiler Radar (UHF 윈드프로파일러 레이더의 펄스 해상도에 따른 풍속의 정확성 평가)

  • Lee, Kyung-Hun;Kwon, Byung-Hyuk;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.3
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    • pp.429-436
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    • 2021
  • The wind profilers operated by the Korea Meteorological Administration observe in a low mode for intensive observation of the low levels and a high mode for intensive observation of the high levels. The LAP-3000 wind profiler installed in Bukgangneung and Changwon is characterized by the same sampling frequency of the low mode and the high mode, allowing to compare winds observed in both modes at the same altitude. As a result of analyzing the wind speed of the two points for one year in 2020, the correlation between the two modes was up to 0.2 lower than the correlation with radiosonde. The T-test for the wind speed of the two modes showed a particularly significant difference in October, where the temperature and specific humidity fluctuate frequently. The difference in the development of the atmospheric boundary layer affects the accuracy of the wind speed depending on the observation mode.

Error analysis on the Offshore Wind Speed Estimation using HeMOSU-1 Data (HeMOSU-1호 관측 자료를 이용한 해상풍속 산정오차 분석)

  • Ko, Dong Hui;Jeong, Shin Taek;Cho, Hongyeon;Kim, Ji Young;Kang, Keum Seok
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.24 no.5
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    • pp.326-332
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    • 2012
  • In this paper, error analyses on the calculation of offshore wind speed have been conducted using HeMOSU-1 data to develop offshore wind energy in Yeonggwang sea of Korea and onshore observed wind data in Buan, Gochang and Yeonggwang for 2011. Offshore wind speed data at 98.69 m height above M.S.L is estimated using relational expression induced by linear regression analysis between onshore and offshore wind data. In addition, estimated offshore wind speed data is set at 87.65 m above M.S.L using power law wind profile model with power law exponent(0.115) and its results are compared with the observed data. As a result, the spatial adjustment error are 1.6~2.2 m/s and the altitude adjustment error is approximately 0.1 m/s. This study shows that the altitude adjustment error is about 5% of the spatial adjustment error. Thus, long term observed data are needed when offshore wind speed was estimated by onshore wind speed data. because the conversion of onshore wind data lead to large error.

Evaluation of UHF Radar Data (UHF 레이더 자료의 품질 평가)

  • Lee, Kyung-Hun;Kwon, Byung-Hyuk;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.3
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    • pp.423-428
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    • 2021
  • The performance of wind profilers were evaluated in Bukgangneung and Changwon, where both wind profilers and radiosonde are being operated. From December 2019 to November 2020, the acquisition rate of wind speed data by altitude and month was investigated and compared with the wind speed of radiosonde. The acquisition rate of normal data increased at the minimal observable altitude, and then decreased again from 2 km or more at the two observation sites. The acquisition rate was high in summer (June, July, August), and low in winter (December, January, February). The results compared with radiosonde showed high correlation of 0.9 in the high mode and 0.8 in the low mode.

Local Wind Field Simulation over Coastal Areas Using Windprofiler Data (윈드프로파일러 자료를 이용한 연안 지역 국지 바람장 모의)

  • Kim, Min-Seong;Kim, Kwang-Ho;Kim, Park-Sa;Kang, Dong-Hwan;Kwon, Byung Hyuk
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.22 no.2
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    • pp.195-204
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    • 2016
  • In this paper, the applicability and usefulness of windprofiler input data were investigated to generate three dimensional wind field. A logical diagnostic model CALMET with windprofiler data at ten sites and with weather forecasting model WRF output was evaluated by statistically comparing with the radiosonde data at eight sites. The horizontal wind speed from CALMET simulated with hourly windprofiler data is in good agreement with radiosonde observations within 1.5 m/s of the root mean square error, especially local circulation of wind such as sea breeze over the coastal region. The root mean square error of wind direction ranged $50^{\circ}{\sim}70^{\circ}$ is due to the wind direction error from the windprofiler polluted by ground clutters. Since the exact wind can be produced quickly and accurately in most of the altitude with windprofiler data on CALMET, we expect the method presented in this study to be useful for the monitoring of safe environment as well as weather in the coastal zone.

Cluster analysis with Korean weather data: Application of model-based Bayesian clustering method (한국 기상자료의 군집분석: 베이지안 모델기반 방법의 응용)

  • Joo, Yong-Sung;Jung, Hyung-Joo;Kim, Byung-Jun
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.1
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    • pp.57-64
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    • 2009
  • In this paper, 30 main cities are clustered based on precipitation, temperature, wind speed, photo period, and humidity. We found that the resulting clusters has strong relationships with geographical locations. These results make sense because, although Korea is a small country, Korean weather is known to have strong locality. The largest number of clusters is found when wind speed is used as an interested variable for clustering and the smallest number of clusters is found when photo period is used. The large number of clusters based on wind speed indicates that wind speed is affected easily by local geography.

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A Study on Fluctuating Wind Profile in CFD Simulation for Evaluating Wind Load (CFD 시뮬레이션을 이용한 풍하중 산정 시 변동풍속 프로파일에 관한 연구)

  • Jeon, Doo-Jin;Han, Sang-Eul
    • Journal of Korean Association for Spatial Structures
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    • v.21 no.1
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    • pp.51-59
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    • 2021
  • In this paper, the effect of the turbulence intensity in across-wind direction on the wind load in CFD(Computational fluid dynamics) simulation was analyzed. 'Ansys fluent' software was used for CFD simulation. And the fluctuating wind speed applied to the simulation was generated according to Korean Design Standard and Von Karman wind turbulence model. The turbulence intensity in across-wind direction for simulation was applied from 0 to 100% of the turbulence intensity in along-wind direction. The analysis results showed that the turbulence intensity in across-wind direction had a particularly great effect on the wind load in across-wind direction.

Quality Control of the UHF Wind Profiler Radar (UHF 윈드프로파일러 레이더 자료의 품질 개선)

  • Jo, Won-Gi;Kwon, Byung-Hyuk;Kim, Park-Sa;Kim, Min-Seong;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.2
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    • pp.277-290
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    • 2018
  • Wind data observed by wind profiler provide wind vectors with the altitudes using PCL1300, wind computation program. As a result of application with parameters set in program currently, it is difficult to compute wind vectors in the upper air over 3 km. This id because a very strict criterion for parameters removes large amounts of data. In this study, therefore, we improve the methods of application by resetting parameters to expand data collection area of wind vectors and reduce underestimation. Although the acquisition rate of the wind vector increased from 72.2% to 92.2%, the RMSE of the wind speed maintained 1.5 m/s - 3.1 m/s, which is less than 15% of the error rate at each altitude.

Estimation on the Radius of Maximum Wind Speed using RSMC Best Track Data (RSMC 최적경로 자료를 이용한 태풍의 최대풍속반경 산정)

  • Ko, Dong Hui;Jeong, Shin Taek;Cho, Hongyeon;Jun, Ki Cheon;Kim, Yoon Chil
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.25 no.5
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    • pp.291-300
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    • 2013
  • Typhoon simulation method is widely used to estimate sea surface wind speeds during the typhoon periods. Holland (1980) model has been regarded to provide relatively better results for observed wind data. JTWC or RSMC best track data are available for typhoon modeling, but these data show slightly different because the data generation process are different. In this paper, a Newton-Raphson method is used to solve the two nonlinear equations based on the Holland model that is formed by the two typhoon parameters, i.e. the longest radius of 25 m/s and 15 m/s wind speeds, respectively. The solution is the radius of maximum wind speed which is of importance for typhoon modeling. This method is based on the typhoon wind profile of JMA and it shows that Holland model appears to fit better the characteristics of typhoons on the temporal and spatial changes than that of the other models. In case of using RSMC best track data, the method suggested in this study shows better and more reasonable results for the estimation of radius of maximum wind speed because the consistency of the input data is assured.

On Estimation of Zero Plane Displacement from Single-Level Wind Measurement above a Coniferous Forest (침엽수림 상부의 단일층 풍속 관측으로부터의 영면변위 추정에 관하여)

  • Yoo, Jae-Ill;Hong, Jin-Kyu;Kwon, Hyo-Jung;Lim, Jong-Hwan;Kim, Joon
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.12 no.1
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    • pp.45-62
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    • 2010
  • Zero plane displacement (d) is the elevated height of the apparent momentum sink exerted by the vegetation on the air. For a vegetative canopy, d depends on the roughness structure of a plant canopy such as leaf area index, canopy height and canopy density, and thus is critical for the analysis of canopy turbulence and the calculation of surface scalar fluxes. In this research note, we estimated d at the Gwangneung coniferous forest by employing two independent methods of Rotach (1994) and Martano (2000), which require only a single-level eddy-covariance measurement. In general, these two methods provided comparable estimates of $d/h_c$ (where $h_c$ is the canopy height, i.e., ~23m), which ranged from 0.51 to 0.97 depending on wind directions. These estimates of $d/h_c$ were within the ranges (i.e., 0.64~0.94) reported from other forests in the literature but were sensitive to the forms of the nondimensional functions for atmospheric stability. Our finding indicates that one should be careful in interepreation of zero plane displacement estimated from a single-level eddy covariance measurement that is conductaed within the roughness sublayer.