• 한국신재생에너지학회:학술대회논문집
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• 2006.11a
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• pp.269-272
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• 2006

Load analysis software enables to design wind turbines effectively and exactly. In this paper, Bladed software developed by Garrad Hassan and Partners is used for load analysis. When using Bladed software, many time is requested to input data which is called by pre-processing. So in this paper, pre-processing Is automated by in-house software(BX) With this BX software, we can reduce the total time for pre-processing about 90%.

• Journal of Industrial Technology
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• v.28 no.B
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• pp.199-207
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• 2008

A linear wind prediction program, WAsP, was employed to predict wind speed at two different sites located in complex terrain in South Korea. The reference data obtained at locations more than 7 kilometers away from the prediction sites were used for prediction. The predictions from the linear model were compared with the measured data at the two prediction sites. Two compensation methods such as a self-prediction error method and a delta ruggedness index (RIX) method were used to improve the wind speed prediction from WAsP and showed a good possibility. The wind speed prediction errors reached within 3.5 % with the self prediction error method, and within 10% with the delta RIX method. The self prediction error method can be used as a compensation method to reduce the wind speed prediction error in WAsP.

• 한국신재생에너지학회:학술대회논문집
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• 2007.11a
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• pp.353-356
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• 2007

환경규제 강화와 화석연료에 대한 대안으로 신/재생에너지에 대한 관심이 고조 되고 있다. 그 중 하나인 풍력발전은 각국마다 풍황 조건과 정책에 의해 다양한 시장을 만들어 내고 있다. 본 연구는 해상풍력발전시스템의 투자 전망에 대하여 기존의 재무적 평가기법에 학습곡선효과를 가미하는 방법론을 제시하고자 하였다. NPV 등의 가치 평가기법이 할인된 현금흐름 분석을 하는 것이라면 이에 더하여 현금의 유출에 있어서 학습율을 반영한 원가를 반영하는 것이 제시하고자 하는 연구 방법론의 핵심이다. 해상풍력발전을 투자자 입장에서 모의 해본 결과 국내 풍력발전은 80% 학습율 수준 정도의 혁신적 개선 없이는 투자 타당성을 찾기 어려우며 이러한 현실적인 문제점을 정책적으로 보완해야 할 수 있는 것이 발전가격을 중심으로 하는 정부의 지원제도임을 제시 하였다.

• 한국신재생에너지학회:학술대회논문집
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• 2009.11a
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• pp.460-464
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• 2009

This study investigates the wake effect of an island to develop the offshore wind farm. The main wind direction can be determined from the data processing of the QuikSCAT satellite data around the Wi-do island at south-west sea of the Korean peninsula. Computational fluid dynamics is adopted to analyze the wake effect. From this study the velocity defects due to the wake are revealed. In particular about 5% velocity defect is observed at 80m hub height from the sea surface.

• 한국신재생에너지학회:학술대회논문집
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• 2011.11a
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• pp.35.2-35.2
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• 2011

A wind turbine power performance test is very important to wind turbine manufacturers because a wind farm developer or planner must want to define power performance characteristics and reliability of new wind turbines. Based on the IEC 61400-12-1, A wind turbine test site has to be nicely installed at flat terrain for testing. We are developing the wind power system which is IEC wind class IIa model with rated power of 3MW. KEPCO's Gochang power testing center was considered as candidates to build the test site without site calibration. This paper aims to verify the validity of the test site by using implement site assessment result that was based on IEC 61400-12-1.

• 한국신재생에너지학회:학술대회논문집
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• 2011.11a
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• pp.41.1-41.1
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• 2011

풍력블레이드는 가벼워야 하며 강도면에서 신뢰성이 확보되어야한다. 최근 들어 복합소재를 적용한 블레이드가 많이 선보이고 있다. 현재 가장 많이 사용되는 유리섬유/에폭시는 경제성 및 강도면에서 우수하여 많이 사용되어왔다. 본 논문에서는 유리섬유(80%)-탄소섬유(20%)/에폭시를 사용하여 강도를 높이고 무게를 경감시켜 효율을 증가시키고자 연구하였다. 국내 풍황에 적합한 1kW급 풍력블레이드의 Airfoil을 개발하여 강도를 평가하고 블레이드를 최적화 설계하였다. 유리섬유(80%)-탄소섬유(20%)가 적용된 복합재를 적층방법에 따라 실험하고 이를 블레이드 강도평가에 적용하였으며 FSI (Fluid-Structure Interaction)를 사용하였다. 이를 통해 블레이드의 무게경감 및 강도가 향상되었다.

• 한국신재생에너지학회:학술대회논문집
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• 2008.10a
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• pp.262-267
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• 2008

The long-term wind data are reconstructed from the short-term meteorological data to design the 4 MW offshore wind park which will be constructed at Woljeong-ri, Jeju island, Korea. Using two MCP (Measure-Correlate-Predict) models, the relative deviation of wind speed and direction from two neighboring reference weather stations can be regressed at each azimuth sector. The validation of the present method is checked about linear and matrix MCP models for the sets of measured data, and the characteristic wind turbulence is estimated from the ninety-percent percentile of standard deviation in the probability distribution. Using the Gumbel's model, the extreme wind speed of fifty-year return period is predicted by the reconstructed long-term data. The predicted results of this analysis concerning turbulence intensity and extreme wind speed are used for the calculation of fatigue life and extreme load in the design procedure of wind turbine structures at offshore wind farms.

• 한국신재생에너지학회:학술대회논문집
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• 2008.10a
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• pp.268-273
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• 2008

A linear wind prediction program, WAsP, was employed to predict wind speed at two different sites located in complex terrain in South Korea. The reference data obtained at locations more than 7 kilometers away from the prediction sites were used for prediction. The predictions from the linear model were compared with the measured data at the two prediction sites. Two compensation methods such as a self-prediction error method and a delta ruggedness index (RIX) method were used to improve the wind speed prediction from WAsP and showed a good possibility. The wind speed prediction errors reached within 3.5 % with the self prediction error method, and within 10% with the delta RIX method. The self prediction error method can be used as a compensation method to reduce the wind speed prediction error in WAsP.

• Journal of the Korean Solar Energy Society
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• v.23 no.4
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• pp.21-27
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• 2003

The comparative performance of the WAsP in calculating the wind climate in complex terrain has been examined in order to test the predictability of the wind resource assessment computer code in our country. An analysis was carried out of predicted and experimental 10-min averaged wind data collected over 8 months at four monitoring sites in SongDang province, Jeju island, composed of sea, inland flat terrain, a high and a low slope craters. The comparisons show that the WAsP preditions give better agreement with experimental data by adjusting the roughness descriptions, the obstacle list.

• Solar Energy
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• v.10 no.2
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• pp.3-9
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• 1990

The recent technology of Wind Energy Conversion System(WECS) in the world is well-developed and the feasibility of WECS is better than the past time. So, it is necessary to re-analyze the characteristics of wind energy in this country. This paper deals with the analysis of wind energy distribution in Korean Peninsula, Cheju and Ullung island. The assessment was performed based on the raw data collected 64 meteorological stations for the last 10 years. The wind energy characteristics were analyzed hourly, monthly, seasonally and annually. The Weibull distribution was assumed and two parameters in all areas were calculated and the wind energy potential distribution in Korea was obtained.