• 한국신재생에너지학회:학술대회논문집
• /
• 2011.11a
• /
• pp.36.1-36.1
• /
• 2011

풍력개발 기술이 발전함에 따라 풍력발전시스템이 점차 대용량화되는 추세이며, 경제성 있는 풍력단지 건설을 위해 점차 대단지화 되어가고 있는 실정이다. 이로 인해 풍력 발전단가(Cost of electricity, COE)도 개선되고 있다. 풍황이 양호한 풍력발전단지의 경우, 풍력발전 COE는 현재 50~60원/kWh 수준으로 타 신재생에너지원에 비해 경쟁력이 높고, 석탄 화력의 COE와 비교해 봐도 동등한 수준 혹은 더욱 경쟁력 있는 수준으로 감소하였다. 풍력발전단지 조성을 위해서는 시스템의 효율과 고효율, 저비용의 풍력발전시스템을 풍황이 좋은 지역에 설치할 때 낮은 COE를 가지는 경제성 있는 발전단지가 가능하다. 동급 용량 풍력발전시스템을 같은 지역에서 설치하여 에너지생산량을 증대시키기 위해서는 블레이드 지름의 증가시켜 유량을 증가시키거나 타워의 높이를 증가시켜 풍속을 증가시키는 방안이 있다. 이 경우 블레이드 길이와 타워 높이 증가에 의한 시스템 비용의 증가가 발생하는데, 에너지생산량 증가에 의한 수익비용과 시스템 비용 증가에 의한 자본비용은 서로 반비례로 영향을 미친다. 이를 위해 최소의 COE의 최대의 순현재가치(Net Present Value, NPV)를 갖는 목적함수로 두고 블레이드의 최적 길이와 타워의 최적 높이를 선정하였다.

• Transactions of the Korean Society of Mechanical Engineers B
• /
• v.41 no.7
• /
• pp.469-480
• /
• 2017

For accurate AEP prediction in a wind farm, it is necessary to effectively calculate the wind speed reduction and the power loss due to the wake effect in each wind direction. In this study, a computer program for AEP prediction considering directional wake effect was developed. The results of the developed program were compared with the actual AEP of the wind farm and the calculation result of existing commercial software to confirm the accuracy of prediction. The applied equations are identical with those of commercial software based on existing theories, but there is a difference in the calculation process of the detection of the wake effect area in each wind direction. As a result, the developed program predicted to be less than 1% of difference to the actual capacity factor and showed more than 2% of better results compared with the existing commercial software.

• Journal of Korean Society for Geospatial Information Science
• /
• v.21 no.4
• /
• pp.65-71
• /
• 2013

Wind shear means the variation of wind speed according to the height. Wind shear is the important factor affecting the energy production of wind turbines. Power Law is used to extrapolate wind speed data. Normally, a Power Law exponent of 0.143 is used and this is referred to as the 1/7th Power Law. The Power Law exponent is affected by atmospheric stability and surface roughness of the site. Thus, it is necessary to calculate the Power Law exponent of the site exactly for an accurate estimation of wind energy. In this study, wind resources were measured at the three Met-masts which were located in the coastal area of northeastern Jeju Island. The Power Law exponents of the sites were calculated and proposed using measured data. They were 0.141 at Handong, 0.138 at Pyeongdae, and 0.1254 at Udo. We compared annual energy productions which are calculated using a Power Law exponent of 0.143, the proposed value of the Power Law exponents for each site, and the measured data. As a result, the cases of calculating using the proposed values were more similar to the cases using the measured data than the cases using the 0.143 value. Finally, we found that the propsed values of the Power Law exponent are available to more accurately estimate wind resources.

• 한국신재생에너지학회:학술대회논문집
• /
• 2011.05a
• /
• pp.58.2-58.2
• /
• 2011

본 연구에서는 5MW급 수평축 풍력터빈 블레이드에 대해 국내 서남해안의 풍속특성을 고려한 최적설계를 수행 하였다. 최적설계를 수행하기 위해 블레이드 해석은 Blade Element and Momentum Theory를 이용 하였으며, 설계 시 적용된 기저형상은 NREL에서 제안한 5MW급 풍력터빈 블레이드을 선정하였다. 최적설계를 수행하기 전 설계에 사용된 설계변수들이 풍속에 대해 어떠한 경향을 가지고 있는지 알아보기 위해 Parametric Study를 수행 하였으며, 최적설계는 다목적 최적화 유전 알고리즘인 NSGA-II를 이용하여 평균풍속이 낮은 서남해안의 연간에너지 생산량과 설비이용률을 최대화하였다. 최적화 결과들로부터 설계 조건에 맞는 최적해를 도출 할 수 있었으며, 이를 통해 기저형상의 연간에너지 생산량 및 설비이용률을 보다 향상 시킬 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2012.04a
• /
• pp.1085-1087
• /
• 2012

현재 급격한 화석 에너지의 사용 증가로 인해 자원이 고갈되고 있으며, 심각한 환경오염의 문제가 발생하고 있다. 이러한 화석 에너지의 문제점 때문에 무공해이면서 자원 량이 무한에 가까운 신재생 에너지가 거론되고 있는데, 그 중에서 경제적인 면과 기술력이 가장 발전한 풍력 에너지가 각광 받고 있다. 하지만 풍력 발전은 풍속이 짧은 시간 안에 급격한 변화를 일으켜 풍력 터빈의 손상을 초래하며 정확한 풍력발전량의 예측이 힘들어 전력 생산량이 불규칙하다. 그리하여 전력의 공급과 수요의 균형을 위해 풍력발전량의 정확한 예측이 필요하다. 따라서 이 연구에서는 ANFIS을 적용하고 전력 생산 변화의 빠르기 PRR을 이용하여 풍력발전량을 예측하였다. 실험에서는 ANFIS기법에 PRR속성을 이용하여 단순한 ANFIS 기법 보다 더 정확한 풍력 발전량의 예측 결과를 얻을 수 있었다.

• Journal of the Korean Geographical Society
• /
• v.49 no.6
• /
• pp.833-848
• /
• 2014

The assessment of the current and future climate change-induced potential wind energy is an important issue in the planning and operations of wind farm. Here, the authors analyze spatiotemporal characteristics and variabilities of wind energy over Korean Peninsula in the near future (2006-2040) using Representative Concentration Pathway(RCP) scenarios data. In this study, National Institute of Meteorological Research (NIMR) regional climate model HadGEM3-RA based RCP 2.6 and 8.5 scenarios are analyzed. The comparison between ERA-interim and HadGEM3-RA during the period of 1981-2005 indicates that the historical simulation of HadGEM3-RA slightly overestimates (underestimates) the wind energy over the land (ocean). It also shows that interannual and intraseasonal variability of hindcast data is generally larger than those of reanalysis data. The investigation of RCP scenarios based future wind energy presents that future wind energy density will increase over the land and decrease over the ocean. The increase in the wind energy and its variability is particularly significant over the mountains and coastal areas, such as Jeju island in future global warming. More detailed analysis presents that the changes in synoptic conditions over East Asia in future decades can influence on the predicted wind energy abovementioned. It is also suggested that the uncertainty of the predicted future wind energy may increase because of the increase of interannual and intra-annual variability. In conclusion, our results can be used as a background data for devising a plan to develop and operate wind farm over the Korean Peninsula.

• New & Renewable Energy
• /
• v.1 no.2 s.2
• /
• pp.19-25
• /
• 2005

This study explains ther procedure that should be taken to develp a successful wind park project. It provides a guideline for the activities and studies to be done as a step by step solution. This study follows a chronological flow throughout the whole development Process. This Paper covers technical consideration, assessment of wind energy resource, wind Park siting and energy yield calculation This presented knowledge h3s been mostly gained by the experience from Youngduk wind park project. The further comparison study will be performed between the theoretical prediction and the actual yield of the Youngduk wind park.

• 한국신재생에너지학회:학술대회논문집
• /
• 2005.06a
• /
• pp.21-24
• /
• 2005

This study explains the procedure that should be taken to develop a successful wind park project. It Provide guideline for activities and studies to be done step by step solution. This study follow a chronological flow through the development process. They cover Technical consideration, Assessment of Wind Energy Resource, Wind park siting and Energy yield calculation. It's build on the experience gained by the Youngduk Wind Park project and give the playa role in the development of wind energy projects. It is important to understand all theses issues if a new project is to be successfully completed.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.18 no.6
• /
• pp.545-550
• /
• 2012

Wind resource assessment is necessary when designing wind farm. To get the assessment, we must use a long term(20 years) observed wind data but it is so hard. so that we usually measured more than a year on the planned site. From the wind data, we can calculate wind energy related with the wind farm site. However, it calculate wind energy to collect the long term data from Met-mast(Meteorology Mast) station on the site since the Met-mast is unstable from strong wind such as Typhoon or storm surge which is Non-periodic. To solve the lack of the long term data of the site, we usually derive new data from the long term observed data of AWS(Automatic Weather Station) around the wind farm area using mathematical interpolation method. The interpolation method is called MCP(Measure-Correlative-Predict). In this study, based on the MCP Regression Model proposed by us, we estimated the wind energy at Handong site using AEP(Annual Energy Production) from Gujwa AWS data in Jeju. The calculated wind energy at Handong was shown a good agreement between the predicted and the measured results based on the linear regression MCP. Short term AEP was about 7,475MW/year. Long term AEP was about 7,205MW/year. it showed an 3.6% of annual prediction different. It represents difference of 271MW in annual energy production. In comparison with 20years, it shows difference of 5,420MW, and this is about 9 months of energy production. From the results, we found that the proposed linear regression MCP method was very reasonable to estimate the wind resource of wind farm.

• Proceedings of the KIEE Conference
• /
• 2008.07a
• /
• pp.647-648
• /
• 2008

풍력발전기 최적 설계시, 해석특성상 발생하는 막대한 계산 시간문제를 개선하기 위해, 본 논문에서는 최대 연간 에너지 생산량(AEP)을 위한 풍력발전기 최적설계를 빠른 탐색 기법인 MADS(Mesh Adaptive Direct Search)를 기반으로 최적화를 수행하였다. 또한, MADS와, 병렬 분산컴퓨팅 시스템과 결합된 유전알고리즘(Genetic Algorithms)간의 최적화 수행시간을 비교하였다.