This study is to propose ways to improve the system for rational procedures for offshore wind power generation projects. The results of this study are summarized as follows. In order to quickly distribute and develop offshore wind power projects, the permitting period should be shortened through special laws, the government actively intervenes to support the formation and operation of privat-public councils to ensure residents' acceptance. In this way, it can be competitive in the future energy market. Above all, a special law (proposal) related to offshore wind power currently pending in the National Assembly should be passed as soon as possible. Finally, the government and local governments that manage public waters should provide active administrative support based on system improvement measures in consideration of these permits, and the project’s main body should minimize damage to the marine environment and ecosystem. Through these subject-specific roles, offshore wind power generation will be able to reduce carbon emissions and help establish a sustainable energy production system.

This research is to study on the optimum design of the wind power generation blade with three different shapes of the wind turbine blade and three air input speeds (7, 10, 15m/s). In order to perform this numerical analysis, velocity, pressure, and temperature distributions of fluid over the flow domain of the turbine blade and also pressure coefficient and ratio of the Lift to Drag force are numerically calculated for the best design shape of blade using commercial CFD code. Finally, the energy-efficient and optimum shape of the wind turbine for power generation are determined with the sequence of case1, case2, and case3.

본 연구는 국내 풍력발전시설에서 발생하는 음의 주파수성분 분석을 통해 저주파음의 발생정도, 특성 등을 파악하고 선진국에서 검토된 사례조사를 통해 아직 초기단계인 국내 저주파음의 연구자료로 활용하는데 목적이 있다. 풍력발전시설 운영시 주파수대역별 특성분석결과, 저주파대역의 경우 이론식에 따른 거리감쇠이론과 실측치와 비교시 역이승법칙에 따른 거리감쇠치(6dB)에 비해 적게 감쇠되는 것으로 분석되었으며, 중주파 및 고주파대역에서는 거리이격에 따라 거의 감쇠되지 않고 비슷하거나 증가하는 것으로 분석되었는데 풍력발전시설에서 발생되는 음은 대부분 날개회전시 발생하는 공력소음이 대부분으로 풍력발전시설에서 발생하는 음과 주변 소음(바람, 도로교통소음 등) 등의 복합적인 영향으로 유사하게 분석되었다. 본 연구를 통해 풍력발전시설 운영시 발생되는 저주파음의 문제성을 알 수 있었으며 앞으로 국내에서도 풍력발전시설에서 발생되는 저주파음의 주변 환경영향에 대한 연구가 지속적으로 수행되어야 할 것으로 판단된다.

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.

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.