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<p>Accurate simulation of wind flow in offshore environments is essential for wind energy resource assessment and wind farm planning. This study introduces a novel mixing length scheme to enhance the MYNN (Mellor-Yamada-Nakanishi-Niino) planetary boundary layer (PBL) parameterization in the Weather Research and Forecasting (WRF) model. The new scheme recalculates the surface mixing length using a combination of two logistic functions with S-shaped curves and revises the buoyancy mixing length for open water areas. The results show that the proposed mixing length scheme effectively mitigates the overestimation of near-surface wind speeds and provides a more realistic wind shear profile compared to the default scheme. Additionally, it improves the estimation of wind power density in far offshore areas by reducing the underestimation by 4%, thereby enhancing the practical relevance of WRF model outputs. The scheme significantly influences turbulence kinetic energy (TKE) transport under unstable and neutral atmospheric conditions, reducing both TKE and its vertical transport by nearly 50%, while its effect remains minimal under stable conditions. Overall, the proposed mixing length scheme offers a more comprehensive representation of wind behavior in offshore environments, with the potential to substantially improve offshore wind flow simulations. These advancements provide valuable insights for wind engineering applications and enable more accurate wind resource assessments.</p>

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Developing New Mixing Length Scheme for Improved Offshore Wind Simulation in the MYNN PBL Parameterization

  • 期刊论文

  • 发表日期：

    2025年6月1日

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  • Chunlei Wu,
  • Nina Wang,
  • Yan Zhao,
  • Xue Dong,
  • Wei Huang

摘要

Accurate simulation of wind flow in offshore environments is essential for wind energy resource assessment and wind farm planning. This study introduces a novel mixing length scheme to enhance the MYNN (Mellor-Yamada-Nakanishi-Niino) planetary boundary layer (PBL) parameterization in the Weather Research and Forecasting (WRF) model. The new scheme recalculates the surface mixing length using a combination of two logistic functions with S-shaped curves and revises the buoyancy mixing length for open water areas. The results show that the proposed mixing length scheme effectively mitigates the overestimation of near-surface wind speeds and provides a more realistic wind shear profile compared to the default scheme. Additionally, it improves the estimation of wind power density in far offshore areas by reducing the underestimation by 4%, thereby enhancing the practical relevance of WRF model outputs. The scheme significantly influences turbulence kinetic energy (TKE) transport under unstable and neutral atmospheric conditions, reducing both TKE and its vertical transport by nearly 50%, while its effect remains minimal under stable conditions. Overall, the proposed mixing length scheme offers a more comprehensive representation of wind behavior in offshore environments, with the potential to substantially improve offshore wind flow simulations. These advancements provide valuable insights for wind engineering applications and enable more accurate wind resource assessments.