• Title/Summary/Keyword: 풍력에너지 생산량

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Multi-Point Design Optimization of 5MW HAWT Blade (5MW급 수평축 풍력발전 블레이드의 다점 최적설계)

  • Park, Kyung-Hyun;Jun, Sang-Ook;Kim, Sang-Hun;Jung, Ji-Hun;Lee, Ki-Hak;Jeon, Yong-Hee;Choi, Dong-Hoon;Lee, Dong-Ho
    • 한국신재생에너지학회:학술대회논문집
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    • 2009.11a
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    • pp.474-477
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    • 2009
  • 본 연구에서는 5MW급 수평축 풍력발전 블레이드에 대한 정격풍속과 낮은 풍속 영역을 고려하여 풍속에 대한 다점 최적설계를 수행하였다. 다점 최적설계를 수행하기 위해 블레이드 해석은 Blade Element and Momentum theory를 이용 하였으며, 설계 시 적용된 기저형상은 NREL에서 제안한 5MW급 풍력터빈 블레이드이다. 최적화 과정을 통해 얻어진 최적해의 집합에 대하여 L2 Norm을 통한 파레토분석을 하였으며, 이를 통해 기저형상의 연간 에너지생산량과 설비 이용률을 보다 향상 시킬 수 있었다.

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신재생 에너지 생산량 예측 알고리즘

  • Kim, Ji-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.389-392
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    • 2012
  • 에너지관리 지원 서비스는 공장 내에서 일어나는 전력발전 및 전력할당을 데어터 분석 기법 등을 이용하여 효과적으로 관리하는 것을 목적으로 한다. 특히 그 중에서도 태양광, 풍력 등 친환경 에너지를 이용한 에너지관리 시스템은 비용절감 뿐만 아니라 환경보호 측면에서도 중요한 문제라 할 수 있다. 이들 친환경 에너지를 제대로 이용하기 위해서는 그들의 발전량을 정확히 예측할 필요가 있지만 현재의 시스템에는 가장 기본적인 예측법인 최근접 이웃법을 사용하고 있다. 최근접 이웃법의 경우 노이즈와 아웃라이어에 민감하다는 단점이 있기 때문에 이들 상황에 대처할 수 있는 보다 정교한 예측법이 필요하다.

Analysis of Wind Energy Potential on the West Coast of South Korea Using Public Data from the Korea Meteorological Administration (기상청 공공데이터를 활용한 대한민국 서해안 일대의 바람자원 분석)

  • Sangkyun Kang;Sung-Ho Yu;Sina Hadadi;Dae-Won Seo;Jungkeun Oh;Jang-Ho Lee
    • Journal of Wind Energy
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    • v.14 no.3
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    • pp.14-24
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    • 2023
  • The significance of renewable energy has been on the rise, as evidenced by the 3020 renewable energy plan and the 2050 carbon neutrality strategy, which seek to advance a low-carbon economy by implementing a power supply strategy centered around renewable energy sources. This study examines the wind resources on the west coast of South Korea and confirms the potential for wind power generation in the area. Wind speed data was collected from 22 automatic weather system stations and four light house automatic weather system stations provided by the Korea Meteorological Administration to evaluate potential sites for wind farms. Weibull distribution was used to analyze the wind data and calculate wind power density. Annual energy production and capacity factors were estimated for 15-20 MW-class large wind turbines through the height correction of observed wind speeds. These findings offer valuable information for selecting wind power generation sites, predicting economic feasibility, and determining optimal equipment capacity for future wind power generation sites in the region.

Selection of Available Sector to Measure Power Generation for Validation of Wind Turbine Performance (풍력터빈 성능 검증을 위한 출력측정 유효영역 선정)

  • Oh, Ki-Yong;Jun, Hoon;Lee, Jun-Shin
    • 한국신재생에너지학회:학술대회논문집
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    • 2009.06a
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    • pp.525-528
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    • 2009
  • Power generation of wind turbine which is installed in wind farm should be measured to predict economic feasibility of wind farm. Also electric power company want to verify wind turbine performance which is stated by manufacturer. The International Electrotechnical Commission(IEC) published 61400-12-1 "Power performance measurements of electricity producing wind turbines" for test of wind turbine power performance. In this paper, measurable sector of wind speed is analysed based on IEC 61400-12-1 to verify power curve of wind turbine with various wind turbine in wind farm.

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Optimal Location of Meteorological Mast for Power Curve Verification of Wind Farm (풍력단지 출력 검증을 위한 기상탑의 최적위치 선정)

  • Oh, Ki-Yong;Lee, Jun-Shin;Park, Joon-Young;Lee, Jae-Kyung;Kim, Ji-Young
    • New & Renewable Energy
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    • v.5 no.2
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    • pp.31-38
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    • 2009
  • The performance test of a wind turbine in a wind farm is generally carried out by the owner to verify the power curve of the wind turbine given by the turbine manufacturer. The international electro-technical commission provides the IEC 61400-12-1 standard on "Power performance measurements of electricity producing wind turbines". By using this code, one can easily find the suitable met-mast (meteorological mast) location for the wind data whether a wind farm is potential or already built. In this paper, the valid sectors for wind turbines installed in the HanKyoung wind farm, south-west in Jeju island are analyzed on the basis of the code by considering the wind farm layout. Among these sectors, the optimal met-mast location is presented for the power curve verification of the wind farm.

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Evaluation Study of LCOE for 8 MW Offshore Floating Wind Turbine in Ulsan Region (울산 앞바다 8 MW급 부유식 해상풍력터빈의 LCOE 연구 )

  • Dong Hoon Lee;Hee Chang Lim
    • Journal of Wind Energy
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    • v.14 no.1
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    • pp.5-13
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    • 2023
  • The commercialization has been of great importance to the clean energy research sector for investing the wind farm development, but it would be difficult to reach a social consensus on the need to expand the economic feasibility of renewable energy due to the lack of reliable and continuous information on levelized cost of Energy (LCOE). Regarding this fact, this paper presents the evaluation of LCOE, focusing on Ulsan offshore region targeting to build the first floating offshore wind farm. Energy production is estimated by the meteorology data combined with the Leanwind Project power curve of an exemplar wind turbine. This work aims to analyze the costs of the Capex depending on site-specific variables. The cost of final LCOE was estimated by using Monte-Carlo method, and it became an average range 297,090 KRW/MWh, a minimum of 251,080 KRW/MWh, and a maximum of 341,910 KRW/MWh. In the year 2021, the SMP (system marginal price) and 4.5 REC (renewable energy certificate) can be paid if 1 MWh of electricity is generated by renewable energy. Considering current SMP and REC price, the floating platform industry, which can earn around 502,000 KRW/MWh, can be finally estimated highly competitive in the Korean market.

Feasibility Study of Wind Turbine Test Site around Saemangeum Region by using Meteorological Observation Data (기상 관측자료를 이용한 새만금 일대의 실증단지 적합성 분석)

  • Jang, Jea-Kyung;Lee, Kyo-Yeol;Ryu, Ki-Wahn
    • 한국신재생에너지학회:학술대회논문집
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    • 2010.06a
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    • pp.181.1-181.1
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    • 2010
  • 풍력터빈에서 전력생산량은 속도의 세제곱에 따라 바람의 속도에 크게 영향 받는다. 본 연구에서는 기상청에서 제공하는 새만금 인근 해안의 2005부터 2007년까지의 AWS(지역별 관측자료)와 해양에서 떨어진 새만금 서해의 2000년부터 2009년까지 QuikSCAT위성 데이터를 이용하여 속도에 따른 확률 밀도 분포를 획득하였다. 측정된 관측 데이터는 80m 높이에서의 보정 자료를 근거로 하였으며, IEC 61400-12와 13을 근거로 실증단지 적합성에 대한 분석을 하였다.

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The Research on the Yeonggwang Offshore Wind Farm Generated Energy Prediction (영광 해상풍력단지 발전량 예측에 관한 연구)

  • Jeong, Moon-Seon;Moon, Chae-Joo;Jeong, Gwan-Seong;Choi, Man-Soo;Jang, Yeong-Hak
    • Journal of the Korean Solar Energy Society
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    • v.32 no.3
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    • pp.33-41
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    • 2012
  • As the wind farms in large scale demand enormous amount of construction cost, minimizing the economic burden is essential and also it is very important to measure the wind resources and forecast annual energy production correctly to judge the economic feasibility of the proposed site by way of installing a Met mast at or nearby the site. Wind resources were measured by installing a 80[m] high Met mast at WangdeungYeo Island to conduct the research incorporated in this paper and offshore wind farm was designed using WindPRO. Wind farm of 100[MW] was designed making use of 3 and 4.5[MW] wind generator at the place selected to compare their annual energy production and capacity factor applying the loss factor of 10[%] and 20[%] respectively to each farm. As a result, 336,599[MWh] was generated by applying 3[MW] wind generator while 358,565 [MWh] was produced by 4.5[MW] wind generator. Difference in the energy production by 3[MW] generator was 33,660 [MWh] according to the loss factor with the difference in its capacity factor by 3.8[%]. On the other hand, 23 units of 4.5 [MW] wind generators showed the difference of annual energy production by 35,857 [MWh] with 4.0[%] capacity factor difference.

An Analysis on the Value Chain and the Value System of the Korean Wind Power Industry (한국 풍력산업의 가치사슬 및 가치시스템 분석)

  • Ryu, Jae-Ho;Choi, Ta-Gwan;Park, Jung-Gu
    • Journal of Energy Engineering
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    • v.23 no.1
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    • pp.46-57
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    • 2014
  • This study analyzes whether the value-added structure of Korean wind power industry exhibits a virtuous cycle through the value chain(VC) within wind power firms and the value system(VS) among the wind power industries, using a regression analysis based on a survey about Korean wind power companies. According to the VC, the government's R&D support is analyzed to have contributed to an increase in the R&D investments of the wind power companies. An increase in corporates' R&D investments has led to an increase in corporates' R&D outputs, and in turn, induced a remarkable increase in the amounts of production. But an increase in production has not led to a decrease in the costs of production, not resulting in an increase in profit rates per sales amount. In addition, while an increase in profit rates is analyzed to have contributed to an increase in production, this did not induce further investments in corporate's R&D. The virtuous cycle of the value chain in Korean wind power firms is, therefore, analyzed to be weak. Next, the VS is analyzed by dividing the whole chain into the system group including rotor blades, gear boxes, and power generators, and the structure group, such as towers. Two groups are analyzed to have mutually positive effects in the processes of the government's support for corporates' R&D, corporates' investment in R&D, R&D outputs, and profit rates per sales amount. Such mutual positive effects are, however, not found in the processes of the amounts of production and the costs of production. These results demonstrates that the value system of Korean wind power industry is not completed. This study has a policy implication to need further efforts to create the virtuous cycle in the VC and VS of Korean wind power industry.

Selection of Promising Wind Farm Sites and Prediction of Annual Energy Production of a Wind Turbine for Eight Islands in Korea (국내 8개 도서지역 대상 풍력발전 유망후보지 선정 및 발전량 예측)

  • Kim, Chan-Jong;Song, Yuan;Paek, Insu
    • Journal of the Korean Solar Energy Society
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    • v.37 no.6
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    • pp.13-24
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    • 2017
  • Finding promising wind farm sites in islands of Korea is performed in this study. Total ten islands that have been measuring wind speed and direction using automatic weather stations for at least ten years were subjects of this study. Conditions for finding suitable wind farm sites including wind resource and various exclusion factors were applied and two islands that were found not to be suitable for wind farms were excluded. Micositing of a single wind turbine for the remaining eight islands was performed to estimate the annual energy production and the capacity factor.. Based on the simulation results, the wind farm sites selected within the eight islands were found to be suitable for wind power. The capacity factors were varied between 22.3% and 33.0% for a 100 kW wind turbine having a hub height of 30 m.