OPTILE

Multi-criteria optimisation for offgrid marine renewable electrical production

Duration: 36 months (2022-2025)

Context

Isolated sites and microgrid are among the most relevant markets for marine renewable energy systems. Designing the electrical system and its integration must be optimized carefully in order to cover the needs at a realistic cost. The traditional optimisation method focuses on fixing the adequation between production and consumption with optimised energy converter and storage power. This approach can be improved by considering optimisation criteria from other fields of disciplines: reliability, machine position, electrical grid, carbon dioxide estimation, consumption control, cybersecurity and electrical stability. Previous works underline that sequential optimisation does not allow an optimal production system.

Objective

To propose economic and environmental solutions for the supply of isolated electrical grids

Scientific and technical content

  • Bibliography on offshore renewable energy sources and storage: price, maintenance, reliability, lifetime, system life cycle, CO2 impact, implantation
  • Key performance indicators calculation for multi-criteria approach: failure, machine position, coast, optimised electricity price
  • Development and implementation of a multifactor joint optimisation method
  • Real-time simulation of an electrical network taking into account cyber security aspects
  • Application cases : island, aquaculture and oil & gas infrastructures

Resources

OPTILE project sheet (PDF)

Partners and funding

This project is led by France Energies Marines.

Total Energies logo
Entech logo
Corpower Ocean logo 2022
Nantes Université logo
Université de La Réunion logo

The total project budget is €1,546K.

This project receives funding from France Energies Marines and its members and partners, as well as French State funding managed by the National Research Agency under the France 2030 investment plan. It also benefits from the financial support of Bretagne and Normandie regions.

France 2030 logo

Photo credit: Images Rouges / AdobeStock

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