“…The optimization variables and constraints of the design process are defined as follows: - Design variables:
- ‐Macro optimization: rotor diameter, hub height, nacelle uptilt angle, rotor cone angle, maximum allowable blade tip speed, overall blade shape parameters (solidity, thickness, and chord and thickness tapering factors).
- ‐Aerodynamic optimization: control points for chord and twist spanwise distributions and positions along the blade span of preassumed airfoils. Spanwise distributions are modeled by a shape‐preserving Piecewise Cubic Hermite Interpolating Polynomial (PCHIP) scheme.
- ‐Structural optimization: spanwise thicknesses of the blade section structural components (spar caps, skin, shear webs, leading and trailing edge reinforcements), diameters and thicknesses of a user‐defined number of truncated conical shells modeling the turbine tower, composite material parameters . Here, spanwise distributions are modeled with linear interpolations.
- Constraints:
- ‐Macro optimization: extreme and fatigue load constraints at user‐defined locations, maximum turbine height.
- ‐Aerodynamic optimization: limits on noise emissions, transportability, and manufacturing constraints, bounds on the blade shape parameters.
- ‐Structural optimization: maximum allowable stress, strain, and fatigue damage along blade and tower at a user‐defined number of stations, maximum blade tip deflection, blade and tower frequency constraints to prevent mode coalescence and resonance effects, manufacturing limitations such as minimum and maximum thicknesses of composite elements of the blade and of tower sections, transportability constraints.
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