This study presents the numerical modeling and analysis of an offshore wind farm, focusing on energy production and turbine loading under several wind conditions. The recently published Reference Offshore Wind Plant, IEA-Wind-740-10MW-ROWP, which consists of IEA 10 MW reference wind turbines, is used as a benchmark case for the study. Power prediction with a low-fidelity analytical wake model solver, FLORIS, is compared to a mid-fidelity solver, FAST.Farm. The dynamic wake meandering (DWM) models of FAST.Farm, combined with the Blade Element Momentum Theory (BEMT) implementation of OpenFAST, enables analysis for both power production, commonly addressed in analytical models, and external loads on individual turbines, which impact the structural integrity and performance. The present study provides a comprehensive insight into how wake effects influence not only energy yield but also structural demands on the turbines. The results are expected to highlight the importance of detailed wake modeling in optimizing wind farm layouts and improving turbine reliability, ensuring higher efficiency and durability in future projects.

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Investigation of Energy Production of an Offshore Wind Farm Using FAST.Farm’s Dynamic Wake Meandering Model and FLORIS

  • Muhammad Juanda Putra,
  • Elif Oğuz,
  • Nilay Sezer Uzol

摘要

This study presents the numerical modeling and analysis of an offshore wind farm, focusing on energy production and turbine loading under several wind conditions. The recently published Reference Offshore Wind Plant, IEA-Wind-740-10MW-ROWP, which consists of IEA 10 MW reference wind turbines, is used as a benchmark case for the study. Power prediction with a low-fidelity analytical wake model solver, FLORIS, is compared to a mid-fidelity solver, FAST.Farm. The dynamic wake meandering (DWM) models of FAST.Farm, combined with the Blade Element Momentum Theory (BEMT) implementation of OpenFAST, enables analysis for both power production, commonly addressed in analytical models, and external loads on individual turbines, which impact the structural integrity and performance. The present study provides a comprehensive insight into how wake effects influence not only energy yield but also structural demands on the turbines. The results are expected to highlight the importance of detailed wake modeling in optimizing wind farm layouts and improving turbine reliability, ensuring higher efficiency and durability in future projects.