• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.3
• /
• pp.547-554
• /
• 2018

Wind energy is widely recognized as one of the cheapest forms of clean and renewable energy. In fact, in several countries, wind energy has achieved cost parity with fossil fuel-based sources of electricity generation for new electricity generation plants. Offshore wind energy development promises to be a significant domestic renewable energy source for the target of korea government 3020 plan. A pivotal activity during the development phase of a wind project is wind resource assessment. Several approaches can be categorized as three basic scales or stages of wind resource assessment: preliminary area identification, area wind resource evaluation, and micrositing. This study is to estimate the wind power capacity of chonnam province offshore area using three basic stages based on the six meteorological mast data. WindPRO was used, one of a well-known wind energy prediction programs and based on more than 25 years of experiences in development of software tools for wind energy project development. The design results of offshore wind power generation capacity is calculated as total 2.52GW with six wind farms in chonnam offshore area.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.3
• /
• pp.397-404
• /
• 2023

This paper designs a wind turbine test site based on international regulations for the certification of wind turbine prototypes. The maximum height of the meteorological mast installed at the test site is 140m, and power facilities capable of testing up to three wind turbines of 5MW or more are installed. The weather resources measured at the mast can be recorded and analyzed using a monitoring system. Wind turbine manufacturers can use this test site during the certification period, and the installed wind turbines can be used for continuous power generation projects. Therefore, this test site can provide fundamental data for measuring the long-term performance and durability of wind turbines, which can be used to improve models or develop new wind turbines.

• Proceedings of the Korean Vacuum Society Conference
• /
• 2015.08a
• /
• pp.83-83
• /
• 2015

현재 인류가 직면한 에너지 부문의 큰 난제는 화석연료의 한정된 매장이기도 하지만 그 사용에 따른 환경오염으로 인한 피해들이 더 큰 문제로 대두되고 있다. 그중 지구 온난화의 영향으로 최근 세계에 국지적인 홍수, 가뭄, 태풍등의 기후 불안정으로 피해보는 상황이 가속화 되고 있다. 또한, 북극지방의 해빙으로 해수면 상승이 예상되며 머지않은 시간에 해수면 상승의 직접적인 피해가 인류에게 오리라는 보고가 많이 발표되고 있다. 그런데 우리가 더욱 중요한 것은 지구촌83의 관성이 크기 때문에 지구 온난화 와 해수면 상승이 인류에 큰 피해를 미치기 시작할 때는 이미 돌이킬 수 없는 상황에 진입해버린다는 사실을 간과하고 있는다는 것이다. 그러므로 과학적 분석에 근거하여 피해를 축소하기위한 활동을 실천해야할 시기이다. 특히, 우리나라의 경우 에너지의 97% 이상을 해외에서 수입하고 있으며, 세계에너지 소비 10위, 석유 소비 7위의 열악한 에너지 자원 빈국인 만큼, 중장기적인 관점에서 석유의존도를 개선하고 신재생에너지원을 확보하는 등 대책마련이 시급한 실정이다. 신재생에너지원으로 현재까지 가장 큰 역할을 해왔던 것 중의 하나가 풍력발전기인데, 오늘날 세계 풍력에 의한 발전량은 세계 총 발전량의 2% 미만에 불과하이다. 이러한 풍력 시장에 발맞춰 국내에서도 풍력발전기 개발에 많은 힘을 쏟고 있는데, 2002년부터 750 kW급 풍력발전기가 처음 개발되기 시작하였고, 이후 2 MW급 풍력발전기와 3 MW급 풍력발전기가 개발되었으며, 최근에는 5 MW와 7.5 MW급등 초대형 풍력발전기가 대기업 중심으로 개발 진행되고 있었으나, 2008년 세계 금융위기 이후 세계 경기침체의 영향으로 국내 풍력산업도 적지않은 영향으로 구조조정되어 기존 7~8개 풍력발전기 제조사들이 3개사 이하로 축소되고 있다. 이에 정부 및 전라남도는 해상풍력산업을 침체기를 겪는 조선산업의 대체산업으로 육성하기위해, 정부 주도로 부안 앞바다에 2.5 GW 해상풍력발전단지개발을 준비 중에 있으며, 전라남도는 전남 서해안에 4 GW 해상풍력발전단지 개발을 서두드고 있다. 특히, 전라남도는 국내에서 가장 많은 풍력에너지 포텐셜을 가지고 있으며, 바람의 질 또한 우수하여 이를 지역산업 활성화의 모멘텀으로 가져가기위해 많은 노력을 기울이고 있다. 그 일례로 영광군 백수읍 하사리 바닷가 $4,342m^2$ 부지에 "풍력테스트베드"를 개발하여 국내 풍력발전기 제조사들이 활용하도록 도움을 주고 있다. 종래의 테스트베드는 해외지역을 이용하였는데, 이는 국내에서 개발된 풍력발전기들이 국제인증을 받기위해 바람의 질이 좋은 해외 테스트베드에 설치되어 평가받았으며 고가의 비용이 소모되었다. 제주도에 테스트베드 장소가 있긴 하지만 수용 규모가 작아 풍력발전기 제조사들이 대기할 수 없어 해외로 나가는 실정에 전라남도의 내륙 테스트베드를 개발함으로서 풍력발전기 제조사들에게 큰 도움을 주고 있다. 본 보고에서는 국가 해상풍력 산업발전의 단계별 전략과 전라남도의 해상풍력산업의 방향 그리고 풍력테스트베드의 현황을 소개하고자 한다.

• The Korean Journal of Applied Statistics
• /
• v.34 no.5
• /
• pp.723-734
• /
• 2021

Wind energy is one of the rapidly developing renewable energies which is being developed and invested in response to climate change. As renewable energy policies and power plant installations are promoted, the supply of wind power in Korea is gradually expanding and attempts to accurately predict demand are expanding. In this paper, the ARIMA and ARIMAX models which are Time series techniques and the SVR, Random Forest and XGBoost models which are machine learning models were compared and analyzed to predict wind power generation in the Jeonnam and Gyeongbuk regions. Mean absolute error (MAE) and mean absolute percentage error (MAPE) were used as indicators to compare the predicted results of the model. After subtracting the hourly raw data from January 1, 2018 to October 24, 2020, the model was trained to predict wind power generation for 168 hours from October 25, 2020 to October 31, 2020. As a result of comparing the predictive power of the models, the Random Forest and XGBoost models showed the best performance in the order of Jeonnam and Gyeongbuk. In future research, we will try not only machine learning models but also forecasting wind power generation based on data mining techniques that have been actively researched recently.

• Journal of Wind Energy
• /
• v.13 no.4
• /
• pp.58-69
• /
• 2022

This study reviews previous studies on the scale of offshore wind power industry ecosystems to provide basic data for a revitalization strategy for the offshore wind power industry and proposes an analysis of transaction networks based on the special classification of the renewable energy industry. First, we examine the localization rate, technology level, and price level of the offshore wind industry. Second, this research compares the methodology and estimation results of previous studies estimating the scale of the wind power industry. Third, we examine the details related to the enactment of a special classification of the renewable energy industry statistics and review the Korea Energy Agency's renewable energy industry statistics (focusing on 2019 and 2020). Finally, this study suggests the necessity of analyzing an inter-company transaction network based on special classifications of the renewable energy industry to grasp the status of each region and value chain of the offshore wind industry.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.17 no.6
• /
• pp.1145-1156
• /
• 2022

In order to effectively secure site suitability for the development of large-scale offshore wind farms, it is essential to minimize the environmental impact of development and analyze the conflicts of benefit between social, ecological, and economic core values. In addition, a preliminary review of site adequacy must be preceded in order not to collide with other used areas in the marine spatial plan. In addition, it is necessary to conduct local meteorological characteristics analysis including wind resources near Jeollanam-do area before project feasibility study. Therefore, wind resource analysis was performed using the observation data of the meteorological mast installed in Wangdeungnyeo near Anmado, Yeonggwang, and the optimal site was selected after excluding geographical constraints related to the location of the offshore wind farm. In addition, the annual energy production was calculated by deriving the optimal wind farm arrangement results suitable for the local wind resources characteristics based on WindSim SW, and it is intended to be used as basic research data for site discovery and selection of suitable sites for future offshore wind farm projects.

• New & Renewable Energy
• /
• v.10 no.3
• /
• pp.22-30
• /
• 2014

The isolated self-generating electricity with diesel engine generator has been used in islands far away from main land. It costs high because of increasing oil price, and unsafe to have supplying oil and its related components by ship due to unexpectable marine conditions. Therefore there is the need for the hybrid system of renewable energy like wind or solar energy systems with oil engine generator, which can reduce oil use and extend oil supplying period. In this study, the feasibility of such hybrid system with smart micro grid on the eight islands of Jeon-nam province is surveyed to find good place for the demonstration test of the hybrid system. In each island, 3 wind turbine systems of 10 kW and photovoltaic of 20 kW are tested with already installed diesel engine. The performance and costs of the hybrid system in each island are compared in the given conditions of solar and wind energy potential. As a result of the study, Jung-ma island is recommended for the optimum place to make real field demonstration test of isolated hybrid generating and smart grid systems.

• Journal of Advanced Engineering and Technology
• /
• v.11 no.4
• /
• pp.237-243
• /
• 2018

The purpose of this study is to develop a vertical wind turbine with antenna structure in microgird environment. Computational fluid dynamics (CFD) was used to calculate the basic aerodynamic performance. The pressure resulted from CFD analysis has been mapped on the surface of wind turbine as load condition and the Fluid Structure Interaction (FSI) was applied. The stability of the wind turbine was confirmed by checking the deformation and internal stress of wind turbine by wind force.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2022.06a
• /
• pp.161-164
• /
• 2022

부유식 라이다는 해상풍력단지 조성시 필수적으로 수행하고 있는 풍황관측 업무에 새로운 패러다임을 제공하고 있는 시스템으로, 전통적으로 풍황관측을 수행하고 있던 해상기상관측탑을 대체하여 사업 초기의 대규모 공사를 획기적으로 축소하여 시간과 비용을 절약하고, 환경적 영향을 최소화 하며, 지역사회의 반발 요소까지 줄일 수 있어 해당 업계의 표준으로 자리잡고 있는 중이다. 다만 부표식의 동요에 따른 외란적 요소가 관측자료의 신뢰성에 영향을 미치는 만큼 안정적인 플랫폼의 설계 및 검증이 매우 중요한 상황이며, 국내에서는 해당기술에 대한 늦은 진입으로 인해 다수의 외산장비 제조사들이 국내시장까지 선점하고 있는 상황이다. 한국의 서해안은 천해 환경으로 조석차가 매우 커 지역에 따라 강한 조류가 반복적으로 나타나며, 계절별로 상이한 강한 에너지의 파랑이 형성되는 등 플랫폼에 안정도에 많은 영향을 미치는 바다 환경을 갖고 있다. 본 논문에서는 이러한 복잡한 환경적 특성을 갖고 있는 우리나라의 해역에 라이다 운영에 적합한 부표식에 대한 연구를 수행하며, 우선적으로 적용하였던 선박형 부표식의 최적화 설계 및 검증 사례를 소개하고, 향후 다양한 플랫폼 개발에 토대가 되는 중요 개념을 도출하고자 한다.

• Journal of the Korean Society of Fisheries and Ocean Technology
• /
• v.55 no.2
• /
• pp.129-137
• /
• 2019

This study was conducted to investigate the effects of underwater noise caused by pile driving during marine construction on fish. In this study, the three gray rockfish were released about 1 km away from the construction site of wind power generation on July 18, 2018 and traced using two acoustic telemetry techniques. The behavior of the fish was analyzed by calculating the moving distance, swimming speed and direction of the gray rockfish. In the results of the acoustic tracking using the ship, the rockfish moved about 2.11 km for about two hours at a speed of $0.28{\pm}0.14m/s$ (0.94 TL/s). The bottom depth of the trajectory of the rockfish was $1.0{\pm}0.6m$ on average. There was a significant directionality in swimming direction of the gray rockfish, and there was no significant correlation between the swimming direction and tidal current direction. Moving distance during 5 minutes (5MD) during pile driving and finishing operations between rock surface and bedrock were 0.94-0.96 times (76.0-77.0 m) and 1.81-2.73 times (146.0-219.5 m), respectively, compared with no pile driving. This study is expected to be used as a basic data of fish behavior research on underwater noise.