Institute for Energy Transition
dedicated to Marine Renewable Energies
RSS News
3e campagne hivernale de mesures
28/10/2019

Launch of the 3rd winter measurement campaign

Essais hydrodynamiques en bassin
18/10/2019

Latest progress of the OMDYN2 project

DUNES R&D project
15/10/2019

DUNES R&D project: information meeting in Dunkirk on 15 October

Pose plaques PVC sur la bouée du site MISTRAL pour étude du biofouling
29/08/2019

Last August, several PVC plates were installed on the keel of two special mark buoys in the Mediterranean Sea.

Atelier thématique TROPHIK
14/06/2019

Thematic and scientific workshop in Caen on 14 June.

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ELEMENT

Effective lifetime extension in the marine environment for tidal energy

Duration: 3 years

Context

Tidal turbines are designed to withstand the maximum loads they can expect to experience during their operational lifetime, including peak loads and fatigue. Fatigue loads arise from turbulence and wave action. High peak and fatigue loads, combined with uncertainty in load modelling, leads to conservative designs; expensive, heavy devices; and resultant high transport and deployment costs (high CAPEX).
During operation, fatigue and peak loads contribute to wear and tear on a device; this reduces device reliability, availability, efficiency and lifetime, and increases operational costs (OPEX). Improved control of turbines to reduce damaging loads will improve device reliability and extend the lifetime of components, leading to reduced OPEX. In addition, improved control and a better understanding of the resource and the turbine response can be used to optimise performance to increase device yield.
Artificial Intelligence has already been successfully deployed in the mature wind industry to deliver significant commercial benefits by allowing turbines to adapt continually to changing conditions.

Objective

To use artificial intelligence to improve tidal turbine performance and accelerate commercialisation of tidal energy.

Expected results

  • Optimisation of the control system of a tidal turbine to reduce predicted loads
  • Using improved understanding of turbine behaviour to maximise energy yield
  • Optimising tidal turbine design for world-leading improved performance and reduced cost
  • Development and demonstration of an adaptable control system technology with a wide range of applications
  • Minimisation environmental impacts by integrating environmental monitoring into the control system
  • Increasing resilience of tidal turbines to the marine environment and extend their lifetimes
  • Maximising shared learning between relevant EU projects
  • Improving the knowledge base regarding impacts of tidal energy on local communities
  • Increasing public support for tidal energy projects

Scientific contents

  • Integration of the state-of-the-art technology from the tidal and wind energy sectors
  • Demonstration of a prototype system using onshore bench-testing, tow testing, and in-sea deployment at two real tidal sites
  • Demonstration on subsea and floating devices, with geared and direct-drive drive trains
  • Environmental and socioeconomic assessment of tidal energy at a regional, national and EU level
  • Independent verification of project results

Partners

Leader: Nova Innovation

ELEMENT project partners

  

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement number 815180.

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