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OpenWave SIGNED

Validation and Optimization of an Open-Source Novel Nonlinear Froude-Krylov Model for Advanced Design of Wave Energy Converters

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 OpenWave project word cloud

Explore the words cloud of the OpenWave project. It provides you a very rough idea of what is the project "OpenWave" about.

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Project "OpenWave" data sheet

The following table provides information about the project.

Coordinator
POLITECNICO DI TORINO 

Organization address
address: CORSO DUCA DEGLI ABRUZZI 24
city: TORINO
postcode: 10129
website: www.polito.it

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 Italy [IT]
 Total cost 171˙473 €
 EC max contribution 171˙473 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-05-01   to  2021-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    POLITECNICO DI TORINO IT (TORINO) coordinator 171˙473.00

Map

 Project objective

Wave energy represents a great untapped potential, but modern technologies are not economically viable yet, mainly due to high investment risk and modelling uncertainties during design/development stages. Accurate and computationally fast mathematical models are essential tools for effectively and reliably designing wave energy converters (WECs). Although WEC dynamics are typically very nonlinear, linear (imprecise) models are extensively used due to their computational convenience; in contrast, nonlinear models currently available are more accurate but too slow for design optimisation or control applications.

This fellowship purports to develop, validate, and disseminate a novel class of nonlinear models, which will realise an unprecedented pairing of accuracy and computational speed (100 to 1000 times faster than homologous existing models). Conversely to other, slower nonlinear models, this novel model can facilitate effective design and optimisation of the device, enable real-time power optimisation and model-based control. The project will greatly impact the wave energy community, making a high-performance modelling tool easily accessible to any stakeholder for a variety of advanced design purposes. This project is comprised of 3 work packages, which accomplish: (1) validation of the model for axisymmetric devices, (2) expansion and validation of the model for pitching platform devices, and (3) enhancement of computation performance and release of an open-source software. In addition, this fellowship will expand the career horizons of the fellow: a highly multidisciplinary plan is defined, building upon and extending beyond his current competencies. The fellow is well-positioned to undertake this project, allowing him to fully develop innovative ideas from his PhD research. This fellowship will provide the fellow with an unparalleled opportunity to grow as a scientist and engineer, launching him on a trajectory to a productive and rewarding scientific career.

 Publications

year authors and title journal last update
List of publications.
2020 Giuseppe Giorgi, Rui P. F. Gomes, Giovanni Bracco, Giuliana Mattiazzo
The Effect of Mooring Line Parameters in Inducing Parametric Resonance on the Spar-Buoy Oscillating Water Column Wave Energy Converter
published pages: 29, ISSN: 2077-1312, DOI: 10.3390/jmse8010029
Journal of Marine Science and Engineering 8/1 2020-03-24
2020 Sergej Antonello Sirigu, Mauro Bonfanti, Ermina Begovic, Carlo Bertorello, Panagiotis Dafnakis, Giuseppe Giorgi, Giovanni Bracco, Giuliana Mattiazzo
Experimental Investigation of the Mooring System of a Wave Energy Converter in Operating and Extreme Wave Conditions
published pages: 180, ISSN: 2077-1312, DOI: 10.3390/jmse8030180
Journal of Marine Science and Engineering 8/3 2020-03-24

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

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