본 연구에서는 최대 발전량이 500kW인 서해 도서의 풍력-디젤 하이브리드 발전시스템에 대한 경제성 분석을 수행하였다. 이를 위해 해당 도서에 대한 연간 전력 부하 변동치와 바람 데이터를 수집하고 분석하였으며, 풍력을 포함하여 신재생 에너지에 대한 하이브리드 최적화 모델로 미국의 NREL에서 개발한 Homer 프로그램을 이용하였다. 풍력-디젤 하이브리드 발전시스템의 경제성을 판단하기 위해 풍속과 경유 가격을 변수로 하는 민감도 해석도 수행하였다. 그 결과, 현재의 조건에서는 경제성이 낮았으나, 풍속이 초속 3미터가 넘거나 경유 가격이 리터당 2.4달러를 초과할 경우 대상지역에도 풍력-디젤 하이브리드 발전시스템이 경제성을 갖는 것으로 평가되었다.

본 논문에서는 가장 일반적인 해상풍력구조물의 동적거동해석을 위해 실제 해양환경에 유사한 하중을 모형화 하고 지반의 종류에 따른 경계조건을 주어 다양한 지반에서의 동적거동을 파악하고 내진에 대한 안정성을 검토한다. 지지조건은 기초부 강성을 고려하기 위해 등가 스프링 모델을 사용한다. 지지구조물에 작용하는 해양환경은 파랑, 조력을 설계기준에 따라 모형화하여 구조물에 적용하였고 이 중 가장 큰 파랑하중의 경우, 에너지스펙트럼을 이용하여 불규칙 파랑하중을 시간이력으로 적용하였다. 타워에 작용하는 하중은 풍하중 및 블레이드의 추력으로 설계기준에 따라 모형화 하여 적용하였다. 연구를 통해 실제에 근사한 해상풍력구조물과 하중을 모형화하여 지반의 강성, 구조물의 종류 등 주요요인을 달리하여 해석한 결과 구조물의 거동이 이들의 변화에 큰 영향을 받음을 확인하였고, 이에 따른 안정성을 검토했다.

본 연구에서는 효과적인 풍력발전기 블레이드의 상태 모니터링을 위하여 대표적 손상형태 중 하나인 로터의 질량 불균형으로 인한 이상상태를 감지할 수 있는 기법을 제안하였다. 이를 위하여 수평축 3-블레이드 풍력발전기를 대상으로, 블레이드 1개의 질량을 증가시키면서 로터의 질량 불균형 조건을 구현한 후 전체 풍력발전기에 대한 동력학 시뮬레이션을 수행하였다. 질량불균형이 발생하면 부가질량에 의한 원심력에 의하여 나셀의 로터 회전축에 대한 횡방향 진동이 발생하고, 부가 질량의 크기가커질수록 나셀 횡방향 진동의 진폭이 거의 선형적으로 증가함을 알 수 있었다.

This paper proposes an efficient measurement system for the velocity and direction of the wind using the dual rotor wind power generator in vessel. Conventional digital measurement system recognizes the direction and the velocity of the wind using the electric compass or synchronous motor and Vane probe method using hall sensors. But each system has its own short-comings: the synchronous motor has a larger measurement error than the magnetic compass and magnetic compass is weak for the external disturbances such as fluctuation of the vessel. To compensate these short-comings, this paper proposes a new compensation algorithm for the fluctuation errors according to the external interference and the unexpected movement of the vessel along the roll and pitch directions. The proposed system is implemented with the dual compasses and a synchronous motor. The proposed independent power generation system can be operated by itself and can raise the efficiency of the wind power generation systems of 30 ~ 400 W installed along the vertical and horizontal axes. The proposed system also realizes the efficient and reliable power production system by the MPPT algorithm for the real-time recognition of the wind direction and velocity. An advanced switching algorithm for the battery charging system has been also proposed. Effectiveness of the proposed algorithm has been verified through the real experiments and the results are demonstrated.

Three meteor-statistical forecasting models - the transfer function model, the time-series autoregressive model and the neural networks model - were tested to develop a daily forecasting model for Jejudo, where the need and demand for wind power forecasting has increased. All the meteorological observation sites in Jejudo have been classified into 6 groups using a cluster analysis. Four pairs of observation sites among them, all having strong wind speed correlation within the same meteorological group, were chosen for a model test. In the development of the wind speed forecasting model for Jejudo, it was confirmed that not only the use a wind dataset at the objective site itself, but the introduction of another wind dataset at the nearest site having a strong wind speed correlation within the same group, would enhance the goodness to fit of the forecasting. A transfer function model and a neural network model were also confirmed to offer reliable predictions, with the similar goodness to fit level.

Recently, wind power generation is an emerging industry expanding its market rapidly thanks to the increasing need to solve the scarcity of fossil fuels and the risk of potential global warming. Wind power generation has shown to be an effective response plan to global warming, showing the most price competitiveness among the renewable energy sources by its higher efficiency. Therefore wind energy has attracted considerable attention as the industrial growth drive for the next generation. Considering Korea’s high dependence of overseas energy resources, the importance of wind power is growing as the most effective alternative energy source to ensure energy security as well as becoming a key strategic industry for exports. In this study, the social and economic effects of the wind power industry is discussed and the current status and the future prospects of the wind energy market is also examined.

Wind turbine noise become main environmental problem as wind energy have been installed all around. Noise from large wind turbine give annoyance to listener, moreover it increase loading to whole system by restricting blade tip speed. However accurate noise mechanism of wind turbine is not yet examined. This paper reviewed noise source and analysis theory. Broadband noise is main component of wind turbine noise and airfoil self noise is main noise source. These make acoustic analogy hard to apply for analysis. For this reason, experimental equation is method for wind turbine noise prediction up to now. Spectrum analysis shows that vortex shedding noise exists around 1 k~2 k Hz. This region is most sensitive frequency range to human. Thus it is necessary to reduce this noise source.

Renewable energy or green energy is a hot issue in theses days. Since wind resource can be endlessly supplied by nature, researchers and common people are interested in study how to use that resource at home or company. Especially, many architects have tried to integrate wind power generator for a part of building. So in this paper, three buildings installed wind power turbine are targed to CFD analysis and these buildings are Bahrain trade center, Discovery tower, and Pearl river tower. Bahrain trade center is the first builidng installed real wind turbine, Discovery tower is constructing at Texas, and Pearl river tower is designed and proved by china researchers. These buildings have very different type of wind power turbine and each turbine has different conditions for best power generation. Therefor this paper will focus on characteristic shape of buildings, wind power turbine type, and expected purpose of construction. Moreover, CFD analysis will show wind flow pattern and wind speed while wind is passing through wind turbine of three tall buildings. CFD analysis for three buildings make comparison the wind flow patterns with experimental result.

Although renewable power is regarded a way to active response to climate change, the stability of whole power system could be a serious problem in the future due to its uncertainties such as indispatchableness and intermittency. From this perspective, the peak time impact of stochastic wind power generation is estimated using simulation method up to year 2030 based on the 3rd master plan for the promotion of new and renewable energy on peak time. Result shows that the highest probability of wind power impact on peak time power supply could be up to 4.41% in 2030. The impact of wind power generation on overall power mix is also analyzed up to 2030 using SCM model. The impact seems smaller than expectation, however, the estimated investment cost to make up such lack of power generation in terms of LNG power generation facilities is shown to be a significant burden to existing power companies.