Multi-disciplinary design optimization of wind turbine blades including passive load control techniques
Abstract
The objective of the current PhD thesis is the optimal design of DTU-10MW RWT wind turbine blades, for minimum Levelized Cost of Electricity (LCoE) by combining different passive load control techniques. Such techniques that have been investigated in this thesis are the material and geometric BTC and FEC. The optimization is based on the multi-disciplinary aero-elastic optimization approach, considering in a common loop the aerodynamics (e.g. chord or/and twist distributions) and the structural (e.g. wall thicknesses) characteristics as well as the load control parameters. In the context of this research, various optimization techniques have been used and compared, like COBYLA, SLSQP and Newton’s methods that are more often employed in the existing literature.
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