Report describing the methodology and results of the simulations

The objectives of the DYNAMO project are: - to develop recommendations for the optimisation of in-service monitoring solutions for subsea cables at the farm leve - to propose a roadmap for the development of the identified promising technologies

The objective of the ANODE project was to quantify the chemical compounds emitted by the galvanic anodes of ORE structures and the risk associated with their dispersion in the marine environment. By combining ecotoxicological expertise and hydrodynamic modelling, the ANODE project has determined that there is no risk associated with most of the elements making up galvanic anodes, namely zinc, iron, copper and cadmium. On the other hand, concerning aluminium, additional experiments are necessary to conclude. The two currently available Predicted No-Effect Concentrations (PNECs) do not seem suitable for this assessment. These thresholds must therefore be refined and include data from in situ measurements in order to be able to estimate the possible risk associated with aluminium releases.

The objective of the CASSIOWPE project was to support the development of offshore wind energy in the French Mediterranean coastal areas by providing a database of high-resolution observations of wind, wave and current fields as well as a new numerical tool for the modelling of metocean conditions in the Gulf of Lion.

The objective of the ARCWIND project was to assess the feasibility of floating wind farms in deep waters in the Eastern Atlantic.

Comparison of multiparameter probes

This paper presents the assessment of potential impacts of changes in species distribution by climate change on the extended Seine Bay ecosystem.

This study investigated the effects of a spatial closure during the exploitation phase of an offshore wind farm in the extended Bay of Seine (English Channel, France) using Ecospace, a spatially and temporally explicit module of Ecopath with Ecosim.

Measurement of the diameter of biocolonised moorings and biofouling composition at T+6 months of immersion.

This report focuses on two important parameters for biofouling image analysis: the artificial light and the distance to the structure. The first section presents the available tool that was already deployed in several studies in link with industrial needs (O’Byrne et al., 2018c) and the laboratory equipment. Section 2 focuses on the automatic segmentation algorithm and the indicators of quality of assessments. Finally section 3 introduces configurations that were tested and the key results.