• Journal of the Korean Data and Information Science Society
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• v.24 no.3
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• pp.585-592
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• 2013

As the needs for alternative energy and renewable energy increase, there has been a lot of investment in developing wind energy, which does not cause air pollution nor the greenhouse gas effect. Wind energy is an environment friendly energy that is unlimited in its resources and is possible to be produced wherever the wind blows. However, since wind energy heavily relies on wind that has unreliable characteristics, it may be difficult to have efficient energy transmissions. For this reason, an important factor in wind energy forecasting is the estimation of available wind power. In this study, Gunsan wind farm data was used to compare ARMA model to neural network model to analyze for more accurate prediction of wind power generation. As a result, the neural network model was better than the ARMA model in the accuracy of the wind power predictions.

• JOURNAL OF ELECTRICAL WORLD
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• s.409
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• pp.58-62
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• 2011

신재생에너지 사업역량 강화! 현대중공업(회장 민계식)이 그동안 조선업종과 전기전자시스템 분야에서 축적한 경험과 기술을 토대로, 지속적인 성장이 예측되고 있는 풍력분야에 역량을 집중하고 있다. 글로벌 시장 진입을 향한 이 같은 도전은 지난해 3월 풍력업체 최초로 군산풍력발전기공장을 군산산업단지 내에 완공하면서 새로운 전기가 마련되었고, 해외진출을 본격화하기 위한 대량생산체제 구축, 기종 다변화 및 신규모델 개발 등 힘찬 비상의 담금질에 연일 가속도가 붙고 있다. 현대중공업은 오는 2012년까지 군산 공장을 800MW 규모까지 확장시켜 풍력시장 수요에 신속히 대응하는 한편, 세계 풍력발전기 시장의 중심축 역할을 견고히 소화해 내겠다는 포석을 이미 마쳤다. 미래에너지로 주목받고 있는 풍력 및 태양광발전에 꾸준히 투자해온 현대중공업이 그린비지니스 사업 분야 특히, 풍력발전에 집중하는 행보에 관심이 집중되고 있다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.06a
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• pp.471-473
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• 2013

주요 통항로에 설치된 해상교량과 해상풍력단지는 선박의 안전항해에 지대한 영향을 미친다. 특히, 90년대 들어 국내에 다수 건설된 해상교량은 과거에 경험하지 못한 대규모 선박-교량 충돌사고의 유발 가능성을 예고하고 있다. 또한 국내 군산지역에 구축될 해상풍력단지 역시 선박과의 충돌 가능성을 내포하고 있다. 이 논문에서는 과거에 연구 개발된 해상교량과 해상풍력단지의 안전성 평가기법을 조사하고, 향후 실용화 방안을 모색하였다. 연구결과, 기존 연구결과를 토대로 위기관리 시스템을 구축하면 궁극적인 해양사고 예방이 가능할 것으로 고려되었다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.5
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• pp.535-541
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• 2019

The purpose of this study was to investigate the possibility of fishery in offshore wind farms and evaluate the risk linked to the presence of turbines and submarine cables in these areas. With this objective, we studied an offshore wind farm in the Southwest Sea and the current state of vessels in the surrounding National Fishing Port. The risk assessment criteria for 22 fishing gears and methods were set by referring to the fishing boats; thereafter, the risk was assessed by experts. The fishing gears and methods that could be safely operated (i.e., associated with low risk) in the offshore wind farm were: single-line fishing, jigging, and the anchovy lift net. The risk was normal so that it is possible to operate, but the fishing gears and methods that need attention are: the set long line, drifting long line, troll line, squid rip hook, octopus pot, webfoot octopus pot, coastal fish pot, stow net on stake, winged stow net, stationary gill net, and drift gill net. Moreover, the fishing gears and methods difficult to operate in the of shore wind farm (i.e., associated with high risk) were: the dredge, beam trawl, and purse seine. Finally, those associated with very high risk and that should not be allowed in offshore wind farms were: the stow net, anchovy drag net, otter trawl, Danish seine, and bottom pair trawl.

• Journal of the Korean Society of Marine Environment & Safety
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• v.14 no.3
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• pp.205-210
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• 2008

In recent years, the crisis of energy is growing seriously and also the contamination of ecology has been reverberated as international problem. The social concern about energy crisis has been growing for the last several years and also the interest in new and renewable energy has been increased. The probability of wind power resource over Saemangeum is reviewed with the data of Gunsan weather station. Through this study, it is cleared that the Saemangeum area has fluent wind power source to design the wind farm in Korea. According to calculation results, it is possible to predict the wind velocity density around the Saemangeum area using the shape factor as a parameter.

• Smart Media Journal
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• v.1 no.2
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• pp.47-53
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• 2012

Wind energy is currently the fastest growing source of renewable energy used for electrical generation around world. Wind farms are adding a significant amount of electrical generation capacity. The increase in the number of wind farms has led to the need for more effective operation and maintenance procedures. Condition Monitoring System(CMS) can be used to aid plant owners in achieving these goals. In this work, systematic design procedure for artificial neural network based normal behavior model which can be applied for fault detection of various devices is proposed. Furthermore, to verify the design method SCADA(Supervisor Control and Data Acquisition) data from 850kW wind turbine system installed in Beaung port were utilized.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.5
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• pp.603-609
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• 2012

Wind energy is currently the fastest growing source of renewable energy used for electrical generation around world. Wind farms are adding a significant amount of electrical generation capacity. The increase in the number of wind farms has led to the need for more effective operation and maintenance procedures. Condition Monitoring System(CMS) can be used to aid plant owners in achieving these goals. Its aim is to provide operators with information regarding the health of their machines, which in turn, can help them improve operational efficiency. In this work, systematic design procedure for artificial neural network based normal behavior model which can be applied for fault detection of various devices is proposed. Furthermore, to verify the design method SCADA(Supervisor Control and Data Acquisition) data from 850KW wind turbine system installed in Beaung port were utilized.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.2 no.3
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• pp.3-8
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• 2009

Environmental pollution caused by fossil fuel use and energy sources, the big concern is the rise of the current situation, one of the ways to overcome the interest in renewable energy is Gozo. Located on the west coast, especially the Saemangeum area and the northwest wind, the big advantage of the vast area that's got quite a number of wind turbines is expected. This study affirms that these expectations can be a wind energy resource survey sea area of the average wind speed of Kunsan 5 ~ 7m / s is enough, books are linked to the local marine wind farms can safely say that none of choejeokji said. In addition, the emergence of the wind resource to determine the density of the Weibull distribution is calculated using the number 1, the shape factor as a parameter to calculate the density of the wind a result, Gunsan Province was able to predict the emergence of the wind. In addition, by controlling the remote monitoring through the measurement exceeded the convenience and reliability at the same time you can achieve great results.

• Journal of Advanced Navigation Technology
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• v.25 no.3
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• pp.236-241
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• 2021

This paper presents a methodology to analyze the interference of maritime traffic control radar by wind turbines installed in the sea, and the interference result of the maritime traffic control radars by a small number of wind turbines installed in sea near Gunsan port (Gunsan vessel traffic services). A ray based electromagnetic analysis software is used to analyze the interference. The geographic information system map containing altitude data, drawing of wind turbines, and sea with waves are imported to the software to analyze the effect of the terrain and the wind turbines. According to the analysis, a small number of wind turbines, not large scale wind farms, has no severe impact on the operation of the radar.

• Journal of the Korean Solar Energy Society
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• v.33 no.3
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• pp.1-8
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• 2013

In order to identify positive or negative effect of seawall on wind turbine, a wind tunnel experiment has been conducted with a 1/100 scaled-down model of Goonsan wind farm which is located in West coast along seawall. Wind speedup due to the slope of seawall contributed to about 3% increment of area-averaged wind speed on rotor-plane of a wind turbine which is anticipated to augment wind power generation. From the turbulence measurement and flow visualization, it was confirmed that there would be no negative effect due to flow separation because its influence is confined below wind turbine blades' sweeping height.