• Title/Summary/Keyword: 다수 풍력터빈 배치 설계

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Arrangement Design and Performance Evaluation for Multiple Wind Turbines of 10MW Class Floating Wave-Offshore Wind Hybrid Power Generation System (10MW급 부유식 파력-해상풍력 연계형 발전 시스템의 다수 풍력터빈 배치 설계 및 성능 평가)

  • Park, Sewan;Kim, Kyong-Hwan;Lee, Kang-Su;Park, Yeon-Seok;Oh, Hyunseok;Shin, Hyungki;Hong, Keyyong
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.18 no.2
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    • pp.123-132
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    • 2015
  • In this study, an arrangement design process for multiple wind turbines, placed on the 10MW class floating wave-offshore wind hybrid power generation system, was presented, and the aerodynamic performance was evaluated by using a computational fluid dynamics. An arrangement design, which produces a maximum power in the site wind field, was found by using a commercial program, WindPRO, based on a blade element momentum theory, then the effect of wake interference on the system between multiple wind turbines was studied and evaluated by using ANSYS CFX.

Optimal arrangement of multiple wind turbines on an offshore wind-wave floating platform for reducing wake effects and maximizing annual energy production (다수 풍력터빈의 후류영향 최소화 및 연간발전량 극대화를 위한 부유식 파력-해상풍력 플랫폼 최적배치)

  • Kim, Jong-Hwa;Jung, Ji-Hyun;Kim, Bum-Suk
    • Journal of Advanced Marine Engineering and Technology
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    • v.41 no.3
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    • pp.209-215
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    • 2017
  • A large floating offshore wind-wave hybrid power generation system with an area of 150 m2 and four 3 MW class wind turbine generators was installed at each column top. In accordance with the wind turbine arrangement, the wake generated from upstream turbines can adversely affect the power performance and load characteristics of downstream turbines. Therefore, an optimal arrangement design, obtained through a detailed flow analysis focusing on wake interference, is necessary. In this study, to determine the power characteristics and annual energy production (AEP) of individual wind turbines, transient computational fluid dynamics, considering wind velocity variation (8 m/s, 11.7 m/s, 19 m/s, and 25 m/s), was conducted under different platform conditions ($0^{\circ}$, $22.5^{\circ}$, and $45^{\circ}$). The AEP was calculated using a Rayleigh distribution, depending on the wind turbine arrangement. In addition, we suggested an optimal arrangement design to minimize wake losses, based on the AEP.