Objective As technology readiness level of Tidal Energy Converters (TECs) increases, moving from prototype demonstration to commercialisation, research efforts are focusing on TEC arrays layout optimisation to reduce costs and become competitive in comparison with other energy systems. Even though there are several prototypes of different scales that have been tested on the last years (mostly under controlled conditions) there is limited data on deployments in real conditions which negatively affects the accurate formulation of constrained problems on array schemes resulting on incomplete layout optimisation models. This project aims to provide a significant contribution towards the understanding of (a) the effects of TECs interactions with the environment; (b) the capabilities and limitations of common strategies used for the numerical modelling of TECs; and (c) how to mathematically formulate optimisation models to solve the TEC array layout problem considering technical, socio-economic and environmental constraints. From the methodology point of view, constraint optimisation models will be mathematically formulated considering ocean energy protocols, data collected from in-field measurements of prototypes tested in real environments and with surrogates built from validated numerical simulations. The outcomes of the project will contribute to improve common guidelines and standards for licensing tidal energy projects and de-risk financial investment. The Experienced Researcher (ER) will emerge from the project with an in-depth knowledge of tidal stream energy, training in mathematical optimisation and on new skills in data collection, increased competence on numerical modelling, and strong skills in research project management and coordination. This will grant him the capacity of achieving maturity as a researcher on ocean energy, a new emerging sector with great growth potential. Fields of science natural sciencesearth and related environmental sciencesgeologysedimentologynatural sciencescomputer and information sciencessoftwarenatural sciencescomputer and information sciencesartificial intelligenceheuristic programmingengineering and technologyenvironmental engineeringenergy and fuelsrenewable energyhydroelectricitymarine energytidal energy 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-2016 - Individual Fellowships Call for proposal H2020-MSCA-IF-2016 See other projects for this call Funding Scheme MSCA-IF-EF-RI - RI – Reintegration panel Coordinator UNIVERSIDADE DO ALGARVE Net EU contribution € 148 635,60 Address CAMPUS DE PENHA 8005 139 Faro Portugal See on map Region Continente Algarve Algarve 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 Total cost € 148 635,60
