• 전기의세계
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• v.41 no.10
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• pp.3-9
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• 1992

동해안의 6개 예정입지 지점의 다년간 기상데이터를 분석한 결과 3개지점 정도의 유수한 후보지를 발견하였다. 특히 장기갑의 평균풍속은 제주도 월항지역 보다 더 우수한 결과를 얻었다. 이 지역에 설치할 수 있는 풍력터빈의 형식으로 수직축 Darrieus Type을 검토한 결과 무리가 없음을 알 수 있었다. 수직축 터빈은 풍속 6m/s이상이면 정격의 발전모드에 진입하니, 3개 지역의 분석결과 년4000시간 이상의 발전은 가능하리라 사료된다. 단위 풍력발전 용량은 향후 상세설계가 뒤따라야 하겠지만, 대략 150-200KW로 산정되며 년간 단위 기계에서 600-800Mwh의 전력을 얻을 수 있으리라 예상된다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.12
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• pp.1885-1891
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• 2010

Torque control of wind turbines is important when the wind speed is below the rated speed. The main objective of torque control is to extract the maximum power from the potential aerodynamic power of the wind. Torque control methods for wind turbines are classified as torque-mode control and speed-mode control. In torque-mode control, which is well known and traditionally used in many wind turbines, the torque demand of the generator is proportional to the square of the generator speed. In speed-mode control, a PI controller is used to generate the appropriate torque demand of the generator. In this study, the two torque control methods mentioned above are applied to a 2.75-MW wind turbine; simulation results for real turbulence wind speeds are presented, and the response properties are compared.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.3
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• pp.173-180
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• 2017

The main objective of a torque controller below rated wind speed is to extract maximum power from the potential wind energy. To do this, the torque control method, which adjusts the torque magnitude and makes it proportional to the square of the generator speed, has been applied. However, this method makes the response slower as the wind turbines are getting larger in size with multi-MW capacities. In this paper, a torque control method that uses the nonlinear parameter of rotor speed for aerodynamic torque as a control gain is discussed to improve the response by adjusting an additional torque magnitude. The nonlinear parameter of the rotor speed could be calculated both online and offline. It is shown that the offline case is more practical and effective in producing power through the numerical simulation of a 2MW wind turbine by considering the real turbulence wind speed.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.9
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• pp.1065-1071
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• 2012

Wind energy is becoming one of the most preferable alternatives to conventional sources of electric power that rely on fossil fuels. For stable electric power generation, constant rotating speed control of a wind turbine is performed through pitch control and stall control of the turbine blades. Recently, variable pitch control has been implemented in modern wind turbines to harvest more energy at variable wind speeds that are even lower than the rated one. Although wind turbine pitch controllers are currently optimized using a step response via the Ziegler-Nichols auto-tuning process, this approach does not satisfy the requirements of variable pitch control. In this study, the variable pitch controller was optimized by a genetic algorithm using a neural network model that was constructed by the Latin Hypercube sampling method to improve the Ziegler-Nichols auto-tuning process. The optimized solution shows that the root mean square error, rise time, and settle time are respectively improved by more than 7.64%, 15.8%, and 15.3% compared with the corresponding initial solutions obtained by the Ziegler-Nichols auto-tuning process.

• Applied Chemistry for Engineering
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• v.26 no.4
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• pp.489-494
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• 2015

As the world-wide supply of fossil fuel sources decreases, the need for efficient energy conservation in addition to developing green energy technologies becomes critical. Wind energy is now regarded as one of the most rapidly expanding energy sources in the world. However, due to the high cost for the foundation of large turbines and the high wind speed (over 12 m/s) required, it is very difficult to establish inland wind power plants. In order to solve issues mentioned above, experiments were performed using the small wind power system operated in a low wind speed. In this research, inland wind condition was first analyzed, and 300 W and 1 kW small wind power generators were then installed on a roof and efficiencies of generating electricities were compared.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.8
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• pp.935-944
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• 2015

This study performs the dynamic modeling and the simulation of variable speed wind power system and implements the models of wind speed, wind turbine & PMSG, and MPPT & pitch control as well. The simulation of wind turbine was performed by using the power coefficient and other simulation parameters which were extracted with reference to the commercial 5MW class wind turbine data. As the result of this simulation, MPPT control is confirmed, maintaining the maximum power coefficient as far as the rated speed 12[m/s]. Over 12[m/s] wind speed, this wind power system makes it possible to keep the stable output by controlling the pitch angle.

• The KSFM Journal of Fluid Machinery
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• v.15 no.1
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• pp.21-26
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• 2012

In this investigation, the aerodynamic performance evaluation of a 1MW class blade has been performed with the purpose of the verification of target output and its clear understanding of flow field using CFD commercial code, ANSYS FLUENT. Before making progress of CFD analysis the HERACLES V2.0 software based on blade element momentum theory was applied for confirmation of quick and approximate performance in the preliminary stage. The blade was designed to produce the target output of a 1MW class at a rated wind speed of 12m/s, which consists of five different airfoils such as FFA W-301, DU91-W250, DU93-W-210, NACA 63418 and NACA 63415 from hub to tip. The mechanical power by CFD is approximately 1.195MW, which is converted into the electrical power of 1.075MW if the system loss is considered to be 0.877.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.1
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• pp.117-124
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• 2012

In this paper, an analysis of the joint that transmits power from the blades to the generator is performed using the FEM (finite element method). The mode shapes and natural frequencies were extracted using experimental modal analysis in order to establish the FEM model. Then, the model was verified by comparing the mode shapes and natural frequencies to those obtained from the ANSYS modal analysis. Dynamic stress analysis was performed at the rated and limited wind speeds considering the wind load and gravity.

• 한국신재생에너지학회:학술대회논문집
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• 2005.11a
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• pp.219-228
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• 2005

본 연구에서는 에너지 및 환경에 대한 문제가 대두되면서 기술 개발의 필요성이 높아지고 있는 풍력발전시스템에 대하여 750kW급 Geared Type 가변속 풍력 발전시스템을 개발하였다. 풍력발전시스템이 급속히 대용량화됨을 고려하여 MW급의 기술 조합이 반영되도록 설계하였으며, 베어링과 같은 국내 인프라가 부족한 구성품을 제외한 모든 구성기기들을 자체 설계/제작하였다. 블레이드는 국내 풍황에 적합하도록 자체 에어포일을 설계하여 개발하였으며, 가변속 제어를 위한 이중 여자 유도발전기 및 제어기와 Down sizing 구현을 위한 유성 및 헬리컬 기어 혼합형 증속기를 개발하여 시동 풍속 3.5m/s, 정지 풍속 25m/s, 정격 풍속은 12.7m/s이며 IEC 61400-1의 Class I 에 준한 750kW급 풍력 발전시스템을 개발하였다.

• Journal of Advanced Marine Engineering and Technology
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• v.33 no.8
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• pp.1170-1179
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• 2009

The purpose of this work is to predict the low frequency aero-acoustic noise generated from the horizontal axis wind turbine, NREL Phase VI for the whole operating conditions of various wind speeds using large eddy simulation and Ffowcs-Williams and Hawkings model provided in the commercial code, FLUENT. Because there is no experimental data about wind turbine noise, we first of all compared aerodynamic performance such as shaft torque and power with experimentally measured value. Performance results show a good agreement with experimental data within about 0.8%. As the wind speed increases, the overall sound pressure level and the sound pressure level by the quadrupole and dipole source show a increasing tendency. Also, sound pressure level is proportional to $r^{-2}$ in the near field and $r^{-1}$ in the far field according to the increase of distance from the center of hub of wind turbine. According to 2 times increase of distance, sound pressure level is reduced by about 6dB.