Abstract
Since time-domain simulations of wave energy converters are computationally expensive, how can we analyse their dynamics and test wide ranges of design variables, without simplifying the physics involved? One possible solution is the use of General Polynomial Chaos (gPC). GPC provides computationally efficient surrogate models for partial differential equation based models, which are particularly useful for sensitivity analysis and uncertainty quantification. We demonstrate the application of gPC to study the dynamics of a wave energy converter in an operational sea-state, when there is uncertainty in the values of the stiffness and damping coefficient of the power take-off.
| Original language | English |
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| Title of host publication | VIII International Conference on Computational Methods in Marine Engineering : MARINE 2019 |
| Editors | Richard Bensow, Jonas Ringsberg |
| Publisher | International Center for Numerical Methods in Engineering |
| Publication date | 13 May 2019 |
| Pages | 157-168 |
| ISBN (Electronic) | 978-84-949194-3-5 |
| Publication status | Published - 13 May 2019 |
| Event | MARINE 2019 - VIII International Conference on Computational Methods in Marine Engineering - Göteborg, Sweden Duration: 13 May 2019 → 15 May 2019 Conference number: 8 |
Conference
| Conference | MARINE 2019 - VIII International Conference on Computational Methods in Marine Engineering |
|---|---|
| Number | 8 |
| Country/Territory | Sweden |
| City | Göteborg |
| Period | 13/05/2019 → 15/05/2019 |
Keywords
- Uncertainty quantification
- Sensitivity analysis
- General polynomial chaos
- Wave energy converter
- Power Take-Off (PTO)
- Numerical simulation