Abstract
Upscaling wind turbines has resulted in levelised cost of energy (LCoE) reductions. However, larger turbine diameters pose significant design challenges, often with conflicting requirements. For example, non-linear dynamics of aeroelastic tailored blades must be accurately predicted whilst, for the sake of efficient gradient-based design, it is also desirable to simplify the numerical definition of such blades - keeping design variables (DVs) to a minimum. This work presents and validates two features of the ATOM code (Aeroelastic Turbine Optimisation Methods), developed at the University of Bristol, that enable accurate and efficient modelling of large-scale wind turbine blades. Both an efficient parameterisation method and high-order beam elements illustrate the capacity for increasing the speed of gradient evaluations whilst accurately predicting blade dynamics - either by reducing DVs or simulation time. As a preliminary validation, aero-servo-elastic simulations from ATOM and an industry-standard software - DNV GL Bladed - are compared against field measurements gathered from an existing 7 MW turbine.
| Original language | English |
|---|---|
| Article number | 012012 |
| Journal | Journal of Physics: Conference Series |
| Volume | 1222 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 21 May 2019 |
| Externally published | Yes |
| Event | WindEurope Conference and Exhibition 2019 - Bilbao, Spain Duration: 2 Apr 2019 → 4 Apr 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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