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| Content Provider | Springer Nature Link |
|---|---|
| Author | Bottasso, C. L. Campaglo, F. Croce, A. |
| Copyright Year | 2011 |
| Abstract | We describe procedures for the multi-disciplinary design optimization of wind turbines, where design parameters are optimized by maximizing a merit function, subjected to constraints that translate all relevant design requirements. Evaluation of merit function and constraints is performed by running simulations with a parametric high-fidelity aero-servo-elastic model; a detailed cross-sectional structural model is used for the minimum weight constrained sizing of the rotor blade. To reduce the computational cost, the multi-disciplinary optimization is performed by a multi-stage process that first alternates between an aerodynamic shape optimization step and a structural blade optimization one, and then combines the two to yield the final optimum solution. A complete design loop can be performed using the proposed algorithm using standard desktop computing hardware in one-two days. The design procedures are implemented in a computer program and demonstrated on the optimization of multi-MW horizontal axis wind turbines and on the design of an aero-elastically scaled wind tunnel model. |
| Starting Page | 21 |
| Ending Page | 53 |
| Page Count | 33 |
| File Format | |
| ISSN | 13845640 |
| Journal | Multibody System Dynamics |
| Volume Number | 27 |
| Issue Number | 1 |
| e-ISSN | 1573272X |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2011-07-05 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Wind turbine Multi-disciplinary optimization Holistic design Aero-servo-elasticity Multibody dynamics Electrical Engineering Optimization Vibration, Dynamical Systems, Control Automotive Engineering Mechanical Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Mechanical Engineering Aerospace Engineering Modeling and Simulation Computer Science Applications |
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