• Proceedings of the Korea Air Pollution Research Association Conference
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• 2010.04a
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• pp.485-486
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• 2010

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.37 no.11
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• pp.1121-1130
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• 2009

In order to investigate the offshore wind resources, the measured data from the QuikSCAT satellite was analyzed from Jan 2000 to Dec 2008. QuikSCAT satellite is a specialized device for a microwave scatterometer that measures near-surface wind speed and direction under all weather and cloud conditions. Wind speed measured at 10 m above from the sea surface was extrapolated to the hub height by using the power law model. It has been found that the high wind energy prevailing in the south sea and the east sea of the Korean peninsula. From the limitation of seawater depth for piling the tower and archipelagic environment around the south sea, the west and the south-west sea are favorable to construct the large scale offshore wind farm, but it needs efficient blade considering relatively low wind speed. Wind map and monthly variation of wind speed and wind rose using wind energy density were investigated at the specified positions.

• Journal of the Korean earth science society
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• v.38 no.1
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• pp.11-23
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• 2017

The short term predictability of wind resources is an important factor in evaluating the economic feasibility of a wind power plant. As a method of improving the predictability, a Bayesian Kalman filter is applied as the model data postprocessing. At this time, a statistical training period is needed to evaluate the correlation between estimated model and observation data for several Kalman training periods. This study was quantitatively analyzes for the prediction characteristics according to different training periods. The prediction of the temperature and wind speed with 3-day short term Bayesian Kalman training at Taebaek area is more reasonable than that in applying the other training periods. In contrast, it may produce a good prediction result in Ieodo when applying the training period for more than six days. The prediction performance of a Bayesian Kalman filter is clearly improved in the case in which the Weather Research Forecast (WRF) model prediction performance is poor. On the other hand, the performance improvement of the WRF prediction is weak at the accurate point.

• Korean Chemical Engineering Research
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• v.53 no.2
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• pp.156-163
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• 2015

This paper presents a new framework for design and economic evaluation of wind energy-based electricity supply system. We propose a network optimization (mixed-integer linear programming) model to design the underlying energy supply system. In this model we include practical constraints such as land limitations of onshore wind farms and different costs of offshore wind farms to minimize the total annual cost. Based upon the model, we also analyze the sensitivity of the total annual cost on the change of key parameters such as available land for offshore wind farms, required area of a wind turbine and the unit price of wind turbines. We illustrate the applicability of the suggested model by applying to the problem of design of a wind turbines-based electricity supply problem in Jeju. As a result of this study, we identified the major cost-drivers and the regional cost distribution of the proposed system. We also comparatively analyzed the economic performance of on/off shore wind farms in wind energy-based electricity supply system of Jeju.

• 한국신재생에너지학회:학술대회논문집
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• 2007.06a
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• pp.361-361
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• 2007

• Journal of the Korean Solar Energy Society
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• v.32 no.5
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• pp.94-101
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• 2012

A Dokdo wind resource map has been drawn up for the Green Island Energy Master Plan according to Korea's national vision for 'Low Carbon Green Growth'. The micro-siting software WindSim v5.1,which is based on Computational Flow Analysis, is used with MERRA reanalysis data as synoptic climatology input data, and sensitivity analysis on turbulence model is accompanied. A wind resource assessment has been conducted for the Dokdo wind power dissemination plan, which consists of two 10kW wind turbines to be installed at the Dongdo dock and Dokdo guard building. It is evaluated that the capacity factors at Dongdo dock and Dokdo guard building are about 20% and 30% respectively, and annual and hourly variations of wind power generation have been analyzed, but summertime energy production is predicted to be only 40% of wintertime energy production.

• New & Renewable Energy
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• v.5 no.2
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• pp.39-48
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• 2009

Recently, developing the offshore wind farm in Korean peninsula is widely understood as essential to achieve the national target for the renewable energy. As part of national plan, KEPRI (Korea electric power research institute) is performing the front running project for the offshore wind farm development that is dedicated to investigate the possible resources based on the economy considering current technological status. It also includes the selection of the first sea area among candidates and optimal design of the offshore wind farm, etc. In this paper the interim results of the project are summarized that the possible capacity for the offshore wind farm can be estimated conservatively around 18 GW regarding the wind power class, sea depth and social constraint. The five western sea areas near Taean, Gunsan, Gochang, Yeonggwang, Sinan were chosen for the candidating sites. Detailed analysis for these sites will be conducted to finalize the first-going offshore wind farm in Korea.

• 한국신재생에너지학회:학술대회논문집
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• 2010.11a
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• pp.181.2-181.2
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• 2010

탄소함유 에너지원의 고갈과 가격상승, 이들 에너지 사용에 수반되는 지구 온난화 문제들로 세계는 새로운 에너지원을 도입하고자 노력하고 있다. 그 중 풍력에너지는 자원이 풍부하고 끊임없이 재생되며 광범위한 지역에 분포되어 있고, 운전 중에 온실가스의 배출이 없다는 점에서 가장 경제성이 있고 유용한 에너지원으로 인식되고 있다. 풍력발전기는 선진 국가에서부터 꾸준히 성장해 왔으며, 그 성능을 개선시키기 위하여 많은 연구가 진행되고 있다. 풍력발전기를 설치하여 발전단지를 조성함에 있어서 발전량을 예측하기 위해서 발전기가 세워질 모든 지점에 허브높이의 실측타워를 세워 풍황데이터를 측정하여야 하지만 이런 방법은 재정적인 부담이 매우 크다. 따라서 본 논문에서는 서산기상대에서 측정된 기상데이터를 이용하여 태안해안국립공원내 만리포해수욕장 지역의 풍황 및 발전량을 예측하였다. 이 때 풍황 및 발전량 예측은 풍력단지 설계를 목적으로 사용되고 있는 WindPRO Basic과 WAsP-Interface 모듈을 이용하였다. 이렇게 예측된 풍황을 이용하여 발전단지를 조성하고, PARK 모듈을 사용하여 발전단지의 에너지를 계산하였으며, WindBANK 모듈을 이용하여 단지의 경제성을 평가하였다.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.39 no.9
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• pp.735-742
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• 2015

In this paper, we compare and verify the prediction accuracy and feasibility for wind resources on a wind farm using the Weather Research and Forecasting (WRF) model, which is a numerical weather-prediction model. This model is not only able to simulate local weather phenomena, but also does not require automatic weather station (AWS), satellite, or meteorological mast data. To verify the feasibility of WRF to predict the wind resources required from a wind farm pre-feasibility study, we compare and verify measured wind data and the results predicted by WAsP. To do this, we use the Pyeongdae and Udo sites, which are located on the northeastern part of Jeju island. Together with the measured data, we use the results of annual and monthly mean wind speed, the Weibull distribution, the annual energy production (AEP), and a wind rose. The WRF results are shown to have a higher accuracy than the WAsP results. We therefore confirmed that WRF wind resources can be used in wind farm pre-feasibility studies.

• 한국신재생에너지학회:학술대회논문집
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• 2005.11a
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• pp.253-264
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• 2005

풍력발전시스템은 제품에 대한 실증이 반드시 현장에서 이루어져야 하는 특성을 가지고 있으며 향후 국내실정에 적합한 풍력발전시스템의 개발과 보급을 위해서도 실증연구는 선행조건으로 볼 수 있다. 따라서 국제 규격에 합당한 풍력발전 성능평가와 현장 실증연구를 수행할 수 있는 실증단지를 국내에 조성하는 것이 매우 시급한 실정으로, 기초적인 자원분석과 주변환경평가 등을 거치면서 기본적인 실증단지 후보지들을 비교하여 최종 후보지로 선정된 전북 새만금지역, 병곡 영해 평야지구, 제주 동부해안지역 월정지구, 서부 해안지역 월령지구에 대하여 부지의 IEC 규격 적합성 검토, 인프라구축에 대한 적정성 검토, 주변 발전단지 조성가능성 및 발전사업에 대한 연계성 검토, 육해상 실증단지 구축 동일지 역 가능성 검토, 교육과 홍보에 대한 접근성 및 공사에 대한 접근성 검토, 부지 확장 및 향후 실증단지 운영과 관련하여 지자체와의 연계성 검토를 하였다.