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

Total Cost €


EC-Contrib. €






Project "MoWE" data sheet

The following table provides information about the project.


Organization address
postcode: 9220

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Denmark [DK]
 Total cost 200˙194 €
 EC max contribution 200˙194 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-10-01   to  2019-09-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    AALBORG UNIVERSITET DK (AALBORG) coordinator 200˙194.00


 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.


year authors and title journal last update
List of publications.
2019 Moura Paredes, Guilherme Thomsen, Jonas Bjerg Ferri, Francesco Eskilsson, Claes
Mooring system reliability of an ORE device using general Polynomial Chaos
published pages: 1271-1-1271-8, ISSN: , DOI:
Proceedings of the 13th European Wave and Tidal Energy Conference 2019-09-17
2019 Moura Paredes, Guilherme Eskilsson, Claes Kofoed, Jens Peter
Uncertainty Quantification of the Dynamics of a Wave Energy Converter
published pages: 157-168, ISSN: , DOI:
VIII International Conference on Computational Methods in Marine Engineering MARINE 2019 2019-09-17

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The information about "MOWE" are provided by the European Opendata Portal: CORDIS opendata.

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