The wind industry sector has emerged as a leading contender in addressing contemporary clean energy demands. This industry is experiencing rapid growth, driven by concerted endeavors to enhance the efficacy of wind farms. A critical aspect in this pursuit revolves around mitigating wake losses, which significantly impact overall power generation. This article delineates the significance of key factors such as inter-turbine distance, yaw misalignment, atmospheric thermal stability, and wind direction in influencing wake dynamics within wind farms. The discourse also highlights the importance of employing high-fidelity computational fluid dynamics (CFD) simulations to understand the intricate physics governing the flow patterns within the wind farms. Furthermore, it includes a brief introduction to the Simulator for Wind Farm Applications (SOWFA) package, a sophisticated tool instrumental in simulating flow dynamics within wind farm environments. Meanwhile, a case study investigating the influence of yaw misalignment on a medium-sized wind farm is also presented. The study unveils a discernible dependency of overall power output and time-averaged turbulence intensity on the angle of yaw misalignment. Notably, the findings underscore the potential benefits of strategic turbine yawing, particularly in scenarios characterized by elevated wake losses.

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Wind Farm Performance Assessment Using CFD: Key Factors, SOWFA, and Yaw Misalignment Case Study

  • Utkarsh Deep Tiwari,
  • Niranjan S. Ghaisas,
  • Kishalay Mitra

摘要

The wind industry sector has emerged as a leading contender in addressing contemporary clean energy demands. This industry is experiencing rapid growth, driven by concerted endeavors to enhance the efficacy of wind farms. A critical aspect in this pursuit revolves around mitigating wake losses, which significantly impact overall power generation. This article delineates the significance of key factors such as inter-turbine distance, yaw misalignment, atmospheric thermal stability, and wind direction in influencing wake dynamics within wind farms. The discourse also highlights the importance of employing high-fidelity computational fluid dynamics (CFD) simulations to understand the intricate physics governing the flow patterns within the wind farms. Furthermore, it includes a brief introduction to the Simulator for Wind Farm Applications (SOWFA) package, a sophisticated tool instrumental in simulating flow dynamics within wind farm environments. Meanwhile, a case study investigating the influence of yaw misalignment on a medium-sized wind farm is also presented. The study unveils a discernible dependency of overall power output and time-averaged turbulence intensity on the angle of yaw misalignment. Notably, the findings underscore the potential benefits of strategic turbine yawing, particularly in scenarios characterized by elevated wake losses.