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Systems engineering and optimization of wind turbines and power plants

Systems engineering and optimization of wind turbines and power plants

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In this chapter, wind turbine optimization has been demonstrated as an effective approach to exploring complex design decisions. However, it is not a push-button solution and effective use requires a multidisciplinary design team and expertise in optimization algorithms. Common techniques include using reduced-order models for computationally intensive portions of the analysis, taking advantage of gradients to solve large problems, and more recently to include UQ to allow for robust design decisions. Current efforts continue to push for increased model fidelity, more comprehensive disciplinary coverage, and incorporation of uncertainty

Chapter Contents:

  • 7.1 Introduction
  • 7.2 Optimization-based design
  • 7.2.1 From analysis to optimization
  • 7.2.2 From traditional design to optimization-driven design
  • 7.2.3 From single-disciplinary to multidisciplinary optimization
  • 7.2.4 Additional complexity: discrete variables, multiple objectives, decisions over time, and uncertainty
  • 7.3 Wind turbine design optimization
  • 7.3.1 Unique challenges for wind turbine optimization
  • 7.3.1.1 Reduced-order models
  • 7.3.1.2 Simplified physics and managing uncertainty
  • 7.3.1.3 Gradients
  • 7.3.2 Higher fidelity approaches and unsteady aeroelastic modeling
  • 7.3.3 Research and industry applications of wind turbine optimization
  • 7.4 Wind power plant design optimization
  • 7.4.1 Unique challenges of wind power plant optimization
  • 7.4.1.1 Wind power plant optimization subsystems, disciplines, and design variables
  • 7.4.1.2 Wind power plant optimization approaches
  • 7.4.2 Higher fidelity approaches and addressing uncertainty
  • 7.4.2.1 High-fidelity and multifidelity optimization
  • 7.4.2.2 Optimization under uncertainty
  • 7.4.3 Research and industry applications of wind power plant optimization
  • 7.5 Managing the design process: standards, frameworks, and data management
  • 7.6 Conclusions
  • Acknowledgment
  • References

Inspec keywords: optimisation; wind turbines

Other keywords: reduced-order models; robust design decisions; power plants; model fidelity; wind turbine optimization; systems engineering; complex design decisions; multidisciplinary design team

Subjects: Optimisation techniques; Wind power plants

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