• 한국해안·해양공학회논문집
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• 제25권5호
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• pp.291-300
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• 2013

태풍시 발생하는 해상풍 산출을 위해서는 태풍 모의 기법을 이용하며, 이 경우 Holland 모델은 비교적 정확도 높은 태풍 모의가 가능하게 한다. 태풍 모의를 위한 가용 정보로는 JTWC(Joint Typhoon Warning Center, USA)와 RSMC(Regional Specialized Meteorological Center, Japan) 최적경로자료가 있으며, 두 자료는 매개변수 산정 방법과 제공하는 태풍인자가 약간 다르다. 본 연구에서는 RSMC 최적경로자료에서 제공하는 풍속 25 m/s와 15 m/s에 해당하는 반경을 Holland 모형에 각각 대입하여 구성되는 2개의 비선형 방정식을 구성하였으며, 구성된 방정식의 해에 해당하는 최대풍속반경은 Newton-Raphson 기법을 이용하여 산출하였다. 본 방법은 일본 기상청(JMA)에서 제공하는 태풍 풍속프로파일에 근거하여 산출된 결과로서 타 방법에 의하여 산출된 결과보다 태풍 매개변수의 공간적, 시간적 변화에 능동적으로 반응하여 태풍의 특성을 보다 잘 반영하는 것으로 나타났다. RSMC 최적경로 자료를 이용할 경우, 본 방법은 태풍모의 입력 자료의 일관성도 확보할 수 있기 때문에 최대풍속 반경 산출에 합리적일 것으로 판단된다.

• Wind and Structures
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• 제37권3호
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• pp.245-254
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• 2023

In this paper, the wind-induced response of Jiayuguan wooden building (world cultural heritage) in Northwest China was studied. ANSYS finite element software was used to establish four kinds of building models under different working conditions and carry out modal analysis. The simulation results were compared with the field dynamic test results, obtaining the model which reflects the real vibration characteristics of the wooden tower. Time history data of fluctuating wind speed was obtained by MATLAB programming. Time domain method and ANSYS were used to analyze the wind-induced vibration response time history of Jiayuguan wooden building, obtaining the displacement time history curve of the structure. It was suggested that the wind-induced vibration coefficient of Jiayuguan wooden building is 1.76. Through analysis of the performance of the building under equivalent static wind load, the maximum displacement occurs in the three-story wall, gold column and the whole roof area, and the maximum displacement of the building is 5.39 cm. The ratio of the maximum stress value to the allowable value of wood tensile strength is 45 %. The research results can provide reference for the wind resistant design and protection of ancient buildings with similar structure to Jiayuguan wooden tower.

• 한국산림과학회지
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• 제100권2호
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• pp.246-255
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• 2011

본 연구는 2010년 9월 2일 강한 바람으로 우리나라 중부 지방에 영향을 미친 제7호 태풍 곤파스로 인해 피해를 입은 홍릉수목원 내 풍도목을 대상으로 풍도목의 특징, 임내 외 풍향 및 풍속의 특징을 구명하고자 실시하였다. 풍도목은 피해 유형에 따라 바람에 쓰러진 나무, 기울어진 나무, 수간이 부러진 나무 등 크게 세 가지로 구분하여 조사하였다. 바람이 불기 시작한 9월 2일 04시부터 바람이 완전히 멎은 12시까지의 풍속을 분석한 결과, 임내 평균풍속과 순간최대풍속은 각각 1.4 m/s와 3.5 m/s 이었으며, 06시 10분 임내 평균풍속과 순간최대풍속이 각각 3.4 m/s와 8.7 m/s로 최고치를 기록하였다. 곤파스의 피해를 받은 2010년 9월 2일과 강풍주의보가 발효되었던 과거 5일(2009년 2월 13일, 2월 20일, 4월 21일, 10월 16일, 2010년 3월 20일)의 평균풍속 차이와 파동을 비교 분석한 결과, 풍도목 발생 원인은 바람의 세기보다는 단위시간당 바람파동횟수와 관련이 깊은 것으로 사료된다. 풍향 분석 결과 임내 평균풍향은 방위각 $112.5^{\circ}{\sim}180^{\circ}$(ESE-SE-SSE-S)와 $247.5^{\circ}$(WSW) 방향에서 불어 들어왔으며, 임내 외 순간 최대풍향 모두 방위각 $157.5^{\circ}$(SSE) 방향에서 강하게 불어 들어왔다. 풍도목의 도복 방향과 위치를 분석한 결과 84.0%의 풍도목이 방위각 $270^{\circ}{\sim}22.5^{\circ}$(W-WNW-NW-NNW-N-NNE) 방향으로 쓰러졌으며, 97.3%의 풍도목이 완경사지(경사 $15^{\circ}$ 미만)와 경사지(경사 $15^{\circ}{\sim}20^{\circ}$)에서 발생하였다. 풍도목 중 침엽수가 45.3%를 차지했고, 활엽수가 54.7%를 차지하였으나, 임상별로 보면 풍도목은 활엽수림보다 침엽수림과 혼효림에서 주로 발생한 것으로 나타났다.

• 한국산학기술학회논문지
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• 제15권2호
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• pp.1059-1065
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• 2014

풍력발전시스템은 정격풍속미만에서는 토크를 제어하여 바람의 에너지를 최대로 하고 정격풍속이상에서는 피치를 제어하여 발전량을 정격으로 유지한다. 본 논문에서는 풍력발전시스템의 피치제어를 신경망을 이용하여 제어하는 방안을 제시한다. 피치제어의 목적은 정격풍속 이상에서 발전기의 회전속도를 일정하게 제어하여, 결과적으로 발전기의 출력을 정격전력으로 유지한다. 이 논문에서는 신경망 피치제어기의 성능을 향상시키기 위하여 발전기의 정격회전속도와 현재 회전속도 차이를 풍속과 함께 신경망의 입력으로 사용하는 방법을 제안하였다. 신경망의 훈련 알고리즘은 오류역전파(error back-propagation) 방법이 사용되었고, Matlab/Simulink를 사용하여 제어가 원활하게 되는 것을 확인하였다.

• 대기
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• 제30권1호
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• pp.47-57
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• 2020

In this study, the climatological spatio-temporal variation of strong wind and gust wind in Korea during the period from 1993 to 2018 was analyzed using daily maximum wind speed and daily maximum instantaneous wind speed data recorded at 61 observations. Strong wind and gust wind were defined as 14 m s^-1 and 20 m s^-1, which are the same as the KMA's criteria of special weather report. The frequency of strong wind and gust wind occurrence was divided into regions with the higher 25 percent (Group A) and the lower 75 percent (Group B). The annual frequency of strong wind and gust wind occurrence tended to be decreased in most parts of the Korean peninsula. In Group A with stations located at coastal region, strong wind and gust wind occurred most frequently in winter with higher frequency at 1200~1600 LST and 2300~2400 LST due to influence of East Asian winter monsoon. In addition, a marked decreasing trend throughout the four seasons was shown at Daegwallyeong, Gunsan and Wando observations. In contrast, it can be found in Group B that the monthly frequency of strong wind and wind gust occurrence was higher in August and September by effect of typhoon and hourly frequency was higher from 1200 LST to 1800 LST.

• Wind and Structures
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• 제25권6호
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• pp.507-535
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• 2017

In the strong wind shutdown state, the blade position significantly affects the streaming behavior and stability performance of wind turbine towers. By selecting the 3M horizontal axis wind turbine independently developed by Nanjing University of Aeronautics and Astronautics as the research object, the CFD method was adopted to simulate the flow field of the tower-blade system at eight shutdown positions within a single rotation period of blades. The effectiveness of the simulation method was validated by comparing the simulation results with standard curves. In addition, the dynamic property, aerostatic response, buckling stability and ultimate bearing capacity of the wind turbine system at different shutdown positions were calculated by using the finite element method. On this basis, the influence regularity of blade shutdown position on the wind-induced response and stability performance of wind turbine systems was derived, with the most unfavorable working conditions of wind-induced buckling failure of this type of wind turbines concluded. The research results implied that within a rotation period of the wind turbine blade, when the blade completely overlaps the tower (Working condition 1), the aerodynamic performance of the system is the poorest while the aerostatic response is relatively small. Since the influence of the structure's geometrical nonlinearity on the system wind-induced response is small, the maximum displacement only has a discrepancy of 0.04. With the blade rotating clockwise, its wind-induced stability performance presents a variation tendency of first-increase-then-decrease. Under Working condition 3, the critical instability wind speed reaches its maximum value, while the critical instability wind speed under Working condition 6 is the smallest. At the same time, the coupling effect between tower and blade leads to a reverse effect which can significantly improve the ultimate bearing capacity of the system. With the reduction of the area of tower shielded by blades, this reverse effect becomes more obvious.

• 한국태양에너지학회 논문집
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• 제30권4호
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• pp.79-85
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• 2010

The uncertainty in WindCube LIDAR measurements, which are specific to wind profiling at less than 200m above ground levelin wind resource assessments, was analyzed focusing on the error caused by its volume sampling principle. A two-month SODAR measurement campaign conducted in an urban environment was adopted as the reference wind profile assuming that various atmospheric boundary layer shapes had been captured. The measurement error of LIDAR at a height z was defined as the difference in the wind speeds between the SODAR reference data, which was assumed to be a virtually true value, and the numerically averaged wind speed for a sampling volume height interval of $z{\pm}12.5m$. The pattern of uncertainty in the measurement was found to have a maximum in the lower part of the atmospheric boundary layer and decreased with increasing height. It was also found that the relative standard deviations of the wind speed error ratios were 6.98, 2.70 and 1.12% at the heights of 50, 100 and 150m above ground level, respectively.

• 대한전기학회논문지:전력기술부문A
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• 제53권11호
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• pp.589-595
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• 2004

This paper presents a modeling and simulation of a grid-connected wind turbine generation system with respect to wind variations, starting of large induction motor and three-phase fault in the system, and investigates voltage variations of the system for disturbances. It describes the modeling of the wind turbine system including the drive train model, induction generator model, and grid-interface model on MATLAB/Simulink. The simulation results show the variation of the generator torque, the generator rotor speed, the pitch angle, terminal voltage, system voltage, fault current, and real/reactive power output, etc. Case studies demonstrate that the pitch angle control is carried out to achieve maximum power extraction for wind speed variations, starting of a large induction motor causes a voltage sag due to a large starting current, and a fault on the system influences on the output of the wind turbine generator.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2008년도 춘계학술대회논문집
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• pp.138-141
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• 2008

The screen doors installed in the station of subway are subject to the train-wind pressure caused by the operation of trains. The train-wind pressure has to be correctly estimated for the design of safe structure of screen doors. As three-dimensional numerical flow analysis technology has been significantly developed, the analysis on the train-wind pressure with diverse variables such as train specifications, train speed, tunnel and station configurations, and blockage ratio can be effectively carried out with three-dimensional numerical method. In this study, computational analysis of train-induced wind in a subway tunnel employing the screen doors are carried out by using the three-dimensional numerical method with the model of the moving boundary for the run of trains. While the numerical analysis of train-wind pressure was applied on the one island-type station in the Seoul Subway Line 2, maximum pressure of 494 Pa was estimated on the screen door when two trains pass each other at the speed of 80km/h in the platform.

• 대기
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• 제31권1호
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• pp.1-15
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• 2021

High-resolution wind resources maps (maps, here after) with spatial and temporal resolutions of 100 m and 3-hours, respectively, over South Korea have been produced and evaluated for the period from July 2016 to June 2017 using Korea Meteorological Administration (KMA) Post Processing (KMAPP). Evaluation of the 10 m- and 80 m-level wind speed in the new maps (KMAPP-Wind) and the 1.5 km-resolution KMA NWP model, Local Data Assimilation and Prediction System (LDAPS), shows that the new high-resolution maps improves of the LDAPS winds in estimating the 10m wind speed as the new data reduces the mean bias (MBE) and root-mean-square error (RMSE) by 33.3% and 14.3%, respectively. In particular, the result of evaluation of the wind at 80 m which is directly related with power turbine shows that the new maps has significantly smaller error compared to the LDAPS wind. Analyses of the new maps for the seasonal average, maximum wind speed, and the prevailing wind direction shows that the wind resources over South Korea are most abundant during winter, and that the prevailing wind direction is strongly affected by synoptic weather systems except over mountainous regions. Wind speed generally increases with altitude and the proximity to the coast. In conclusion, the evaluation results show that the new maps provides significantly more accurate wind speeds than the lower resolution NWP model output, especially over complex terrains, coastal areas, and the Jeju island where wind-energy resources are most abundant.