H2020Individual fellowship2017–2019

MoWE · Mooring of floating wave energy converters:numerical simulation and uncertainty quantification

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2017-10-01 → 2019-09-30
EU contribution
€200,195
Participants
1
Scheme
MSCA-IF-EF-ST

Lines connect the coordinator with its partners.

Results in brief

Mooring of floating wave energy converters:numerical simulation and uncertainty quantification

The main goal of the MoWE is to obtain cheaper solutions and design procedures for mooring systems of wave energy converters (WECs), to lower the cost of ocean wave energy. For this we applied an approach based on numerical uncertainty quantification. We used (i) an uncertainty quantification (UQ) toolbox based on generalised polynomial chaos coupled to the mooring dynamics solver "MooDy", and (ii) performed detailed numerical investigation on the influence on snap-loads on the mooring design. This design approach was compared with the traditional deterministic approach (using safety factors). Our work demonstrated that deterministic design methods for mooring systems lead to solutions with probabilities of failure 10 times smaller than required by regulations, a clear over-design that can be improved. Additionally, we also demonstrated that the normal drag coefficient is the most important hydrodynamic parameter influencing snap and peak loads. The soil friction coefficient is the most important ground parameter, damping the propagation of internal waves within the cable, especially in high frequency cable motions. These results provide inform designers about the critical mooring design parameters.

Data: CORDIS, © European Union

Project objective

This project aims at designing mooring system for floating wave energy converters (WECs) using a design approach based on numerical uncertainty quantification to estimate loads to a given tolerance level. This approach is to be compared to traditional deterministic approach with safety factors in terms of cost of the designed system. This is to be achieved by: (i) using an uncertainty quantification (UQ) toolbox based on general polynomial chaos (gPC) into a state-of-the-art mooring dynamics solver; (ii) to perform detailed numerical investigation on the influence on snap-loads on the mooring design. All parts aim at providing a base for lowering the economic cost of the mooring system.

Original text from CORDIS.

Participants

  • AALBORG UNIVERSITET · AalborgCoordinatorDenmark

Links

Data: CORDIS, © European Union