Project description DEENESFRITPL Advanced mathematical models pave the way for wave energy exploitation Despite its potential, wave energy technology has not yet seen widespread adoption. Modern simulation tools are not yet economically viable due to high investment risk and modelling uncertainties during the design and development stages. Fast and accurate mathematical models are vital for designing wave energy converters reliably. Funded by the Marie Skłodowska-Curie Actions programme, based at the MOREnergy Lab (Politecnico di Torino, Italy), EU-funded OpenWave is developing a novel class of non-linear models, based on non-linear Froude-Krylov force calculations, that will be more accurate than linear models and 100-1 000 times faster than existing similar nonlinear models. The new models should facilitate effective design and optimisation of wave energy converters and enable real-time power optimisation and model-based control. Show the project objective Hide the project objective 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. Fields of science natural sciencescomputer and information sciencessoftwareengineering and technologyenvironmental engineeringenergy and fuelsrenewable energyhydroelectricitymarine energywave powernatural sciencesmathematicsapplied mathematicsmathematical model Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2018 - Individual Fellowships Call for proposal H2020-MSCA-IF-2018 See other projects for this call Funding Scheme MSCA-IF-EF-ST - Standard EF Coordinator POLITECNICO DI TORINO Net EU contribution € 171 473,28 Address Corso duca degli abruzzi 24 10129 Torino Italy See on map Region Nord-Ovest Piemonte Torino Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
