• 한국신재생에너지학회:학술대회논문집
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• 2009.11a
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• pp.494-497
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• 2009

풍력터빈 블레이드 풍동시험의 경우 사용가능한 시험설비의 크기제한으로 인해 축소모델 사용이 불가피하며, 이로 인해 풍동시험에서는 실물 블레이드에 비해 10% 미만의 낮은 Re수에서 시험이 수행된다. 축소모델 블레이드 풍동시험 결과를 활용하여 실물 블레이드의 성능(토크)를 추정하기 위한 축소효과 보정기법을 2008년 제시하였으며, NREL Phase VI 모델 시험결과에 적용하였다. 당시 제시된 보정기법은 단일익형을 전체 블레이드에 사용한 사례이며 축소효과 보정을 위해 Re수에 따른 익형의 양력계수 변화만을 적용하였다. 본 논문에서는 당시 제안된 축소효과 보정기법을 익형의 양력계수 및 항력계수를 포함한 형태로 수정하였으며, 블레이드에 다수의 익형이 사용되었을 경우에 대해 확장하였다. NREL Phase VI 12% 시험모델의 경우 익형의 양력계수 기울기에 의한 보정량은 약 15% 정도이며, 항력계수 변화에 의한 보정량은 약 5% 정도로 나타났다. 블레이드에 다수의 익형이 사용되었을 경우 설계 또는 전산해석을 통해 구한 반경별 토크 함수를 적용하여 블레이드 축소효과를 보정할 수 있다.

• New & Renewable Energy
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• v.8 no.4
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• pp.3-12
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• 2012

Large offshore wind farms have actively been developed in order to meet the needs for wind energy since the land-based wind farms have almost been fully developed especially in Europe. The key problem for the construction of offshore wind farms may be on the high cost of energy compared to land-based ones. NREL (National Renewable Energy Laboratory) has developed a spreadsheet-based tool to estimate the cost of wind-generated electricity from both land-based and offshore wind turbines. Component formulas for various kinds and scales of wind turbines were made using available field data. In this paper, this NREL estimation model is introduced and applied to the offshore wind turbines now under designing or in production in Korea, and the result is discussed.

• Journal of Wind Energy
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• v.4 no.2
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• pp.17-24
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• 2013

Idealized PID-controlled rotor-speed error for blade pitch control of wind turbines responds as a second-order system with natural frequency and damping ratio for closed-loop system. RISO National Laboratory has recommended specific natural frequency(=0.6 rad/s) and damping ratio(=0.7) for 2 MW wind turbine. The baseline controller for 5 MW wind turbine of NREL(National Renewable Energy Laboratory) is designed based on the same values of RISO recommendation. This study investigates the effect of the natural frequency and damping ratio of the controller for NREL 5 MW wind turbine. It is confirmed that RISO recommendation shall be tuned for each wind turbine.

• Journal of Wind Energy
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• v.10 no.3
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• pp.5-11
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• 2019

This paper suggests and compares two algorithms, a moving average filter method and a method developed by the National Renewable Energy Laboratory (NREL), to verify the yaw control algorithm characteristic to reduce yaw error for a wind turbine. A characteristic change for yaw movement in accordance with control parameter change that consists of each control method has been verified. Also, yaw simulations were performed using nacelle wind data measured from two areas with different turbulence intensities and the yaw movement data in each area was compared. These two algorithms and real data were compared by calculating mean absolute error (MSE) and the number of yawing (NY). As a result of the analysis, the MSE values were not significantly different between the two algorithms, but the algorithm proposed by the NREL was found to reduce yaw movement by up to 50 percent more than the moving average filter method.

• Proceedings of the Materials Research Society of Korea Conference
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• 1997.05a
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• pp.42-42
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• 1997

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.11
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• pp.1455-1462
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• 2012

As the size of a wind turbine increases, the mechanical structure has to have an increasing mechanical stiffness that is sufficient to withstand mechanical fatigue loads over a lifespan of more than 20 years. However, this leads to a heavier mechanical design, which means a high material cost during wind turbine manufacturing. Therefore, lightweight design of a wind turbine is an important design constraint. Usually, a lightweight mechanical structure has low damping. Therefore, if it is subjected to a disturbance, it will oscillate continuously. This study deals with the active damping control of a wind turbine tower. An algorithm that mitigates the mechanical loads of a wind turbine tower is introduced. The effectiveness of this algorithm is verified through a numerical simulation using GH Bladed, which is a commercial aero-elastic code for wind turbines.

• 한국신재생에너지학회:학술대회논문집
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• 2010.06a
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• pp.71.2-71.2
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• 2010

CIS(CuInSe2)계 화합물 태양전지는 높은 광흡수계수와 열적 안정성으로 고효율의 태양전지 제조가 가능하여 화합물 태양전지용 광흡수층으로서 매우 이상적이다. 또한 In 일부를 Ga으로 치환하여 밴드갭을 조절할 수 있는 장점이 있다. 미국 NREL에서는 Co-evaporation 방법을 이용해 20%의 에너지 변환 효율을 달성하였다고 보고된바가 있다. 본 연구에서는 미국의 NREL과 같은 3 stage 방식을 이용하여 광흡수층을 제조하고자 한다. 본 실험에서는 Se 증기압을 각각 $200^{\circ}C$, $230^{\circ}C$, $240^{\circ}C$, $245^{\circ}C$로 달리 하며 실험을 실시하였다. 이때 1st stage의 시간은 15분으로 고정하였으며 기판온도는 약 $250^{\circ}C$로 고정 하였다. 2nd stage는 실시간 온도 감지 장치를 이용하여 Cu와 In+Ga의 조성비가 1:1이 되는 시간을 기준으로 Cu의 조성을 30%더 높게 조절하였으며 기판 온도는 약 $520^{\circ}C$로 고정 후 실험을 실시하였다. 3rd stage의 경우 Cu poor 조성으로 조절하기 위해 모든 조건을 10분으로 고정 후 실험을 실시하였다. 각각의 Se 증기압에 따른 물리적, 전기적 특성을 알아보기 위해 FE-SEM, EDS, XRD 분석을 실시하였다. 본 연구에서 기판은 Na이 첨가되어있는 soda-lime glass를 사용 하였으며 후면 전극으로 약60nm 두께의 Mo를 DC Sputtering 방법을 이용해 증착 하였다.

• Journal of Korean Association for Spatial Structures
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• v.14 no.4
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• pp.47-54
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• 2014

This paper presents the structural model development and verification processes of wind turbine blade. The National Renewable Energy Laboratory (NREL) Phase VI wind turbine which the wind tunnel and structural test data has publicly available is used for the study. The wind turbine assembled by blades, rotor, nacelle and tower. The wind blade connected to rotor. To make the whole turbine structural model, the mass and stiffness properties of all parts should be clear and given. However the wind blade, hub, nacelle, rotor and power generating machinery parts have difficulties to define the material properties because of the composite and assembling nature of that. Nowadays to increase the power generating coefficient and cost efficiency, the highly accurate aerodynamic loading evaluating technique should be developed. The Fluid-Structure Interaction (FSI) is the emerging new way to evaluate the aerodynamic force on the rotating wind blade. To perform the FSI analysis, the fluid and structural model which are sharing the associated interface topology have to be provided. In this paper, the structural model of blade development and verifying processes have been explained for Part1. In following Part2 paper, the processes of whole turbine system will be discussing.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.41 no.3
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• pp.210-216
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• 2013

Rotor blades experience mechanical loads caused by the turbulent wind shear and an impulse-like wind due to the tower shadow effect. These mechanical loads shorten the life of wind turbine. As the size of wind turbine gets bigger, a control system design for mitigating mechanical loads becomes more important. In this paper, individual pitch control(IPC) for the mechanical loads reduction of rotor blades in a transition wind speed region is introduced, and simulation results verifying IPC performance are discussed.

• Journal of Photoscience
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• v.10 no.2
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• pp.199-202
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• 2003

The relationship between the morphology of nanostructured TiO$_2$ films and the photo-injected electron transport has been investigated using intensity-modulated photocurrent spectroscopy (IMPS). For this purpose, three different TiO$_2$ films with 5 ${\mu}{\textrm}{m}$ thickness are prepared: The rutile TiO$_2$ film with 500 nm-sized cluster-like spherical bundles composed of the individual needles (Tl), the rutile TiO$_2$ film made up of non-oriented, homogeneously distributed rod-shaped particles having a dimension of approximately 20${\times}$80 nm (T2), and the anatase TiO$_2$ film with 20 nm-sized spherically shaped particles (T3). Cross sectional scanning electron micrographs show that all of the TiO$_2$films have a quite different particle packing density: poorly packed Tl film, loosely packed T2 film and densely packed T3 film. The electron transport is found to be significantly influenced by film morphology. The effective electron diffusion coefficient D$_{eff}$ derived from the IMPS time constant is an order of magnitude lower for T2 than for T3, but the D$_{eff}$ for the Tl sample is much lower than T2. These differences in the rate of electron transport are ascribed to differences in the extent of interparticle connectivity associated with the particle packing density.ity.