• Title/Summary/Keyword: 풍력자원 해석 모델

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The Study of the Wind Resource and Energy Yield Assessment for the Wind Park Development (풍력자원해석 및 에너지예측을 통한 풍력발전단지 설계 연구)

  • Byun, Hyo-In;Ryu, Ji-Yune;Kim, Doo-Hoon
    • New & Renewable Energy
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    • v.1 no.2 s.2
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    • pp.19-25
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    • 2005
  • This study explains ther procedure that should be taken to develp a successful wind park project. It provides a guideline for the activities and studies to be done as a step by step solution. This study follows a chronological flow throughout the whole development Process. This Paper covers technical consideration, assessment of wind energy resource, wind Park siting and energy yield calculation This presented knowledge h3s been mostly gained by the experience from Youngduk wind park project. The further comparison study will be performed between the theoretical prediction and the actual yield of the Youngduk wind park.

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Analysis of Wind Energy Resource & Case study for Wind Park Siting (풍력발전단지 개발을 위한 풍자원 해석 및 단지 설계)

  • Byun, Hyo-In;Ryu, Ji-Yune;Kim, Doo-Hoon
    • 한국신재생에너지학회:학술대회논문집
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    • 2005.06a
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    • pp.21-24
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    • 2005
  • This study explains the procedure that should be taken to develop a successful wind park project. It Provide guideline for activities and studies to be done step by step solution. This study follow a chronological flow through the development process. They cover Technical consideration, Assessment of Wind Energy Resource, Wind park siting and Energy yield calculation. It's build on the experience gained by the Youngduk Wind Park project and give the playa role in the development of wind energy projects. It is important to understand all theses issues if a new project is to be successfully completed.

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A Study on the Natural Frequency of Wind Turbine Tower Regarding to Modeling Method (풍력터빈타워의 모델링에 따른 고유진동수 특성에 관한 연구)

  • Lee, Yun-Woo;Jang, Min-Seo;Kang, Soung-Yong;Kim, Pyoung-Hwa;Kang, Young-Jong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.3
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    • pp.2272-2278
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    • 2015
  • Recently the importance of renewable energy is stood out regarding to the international concern about global environmental issues. Wind power is beginning to receive attention as one of renewable energy, and world-wide researches about wind power are being carried out. In the wind power system, tower structure plays an important roles for continuous and stable generation of electricity. Researchers use various analytical models to research and develop about tower structures. In this study, the effects of natural frequencies of various wind turbine tower models have been analyzed. It is possible to simplify the detailed parts of models by using modified tower unit weight since the results of 1st natural frequency show that the difference is only 0.14%. Since the difference in natural frequency is greater than 10%, according to the boundary condition, the simple fix end support is not appropriate to represent the real structure of the tower. It is expected that the result of this study may be utilized to establish the criterion about appropriate modelling method.

Optimal Micrositing and Annual Energy Production Prediction for Wind Farm Using Long-term Wind Speed Correlation Between AWS and MERRA (AWS와 MERRA 데이터의 장기간 풍속보정을 통한 풍력터빈 최적배치 및 연간에너지생산량 예측)

  • Park, Mi Ho;Kim, Bum Suk
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.40 no.4
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    • pp.201-212
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    • 2016
  • A Wind resource assessment and optimal micrositing of wind turbines were implemented for the development of an onshore wind farm of 30 MW capacity on Gadeok Island in Busan, Republic of Korea. The wind data measured by the automatic weather system (AWS) that was installed and operated in the candidate area were used, and a reliability investigation was conducted through a data quality check. The AWS data were measured for one year, and were corrected for the long term of 30 years by using the modern era retrospective analysis for research and application (MERRA) reanalysis data and a measure- correlate-predict (MCP) technique; the corrected data were used for the optimal micrositing of the wind turbines. The micrositing of the 3 MW wind turbines was conducted under 25 conditions, then the best-optimized layout was analyzed with a various wake model. When the optimization was complete, the estimated park efficiency and capacity factor were from 97.6 to 98.7 and from 37.9 to 38.3, respectively. Furthermore, the annual energy production (AEP), including wake losses, was estimated to be from 99,598.4 MWh to 100,732.9 MWh, and the area was confirmed as a highly economical location for development of a wind farm.