Marine renewable energy systems involve single or arrays of devices that are secured to the seafloor via foundations and/or anchors. These MRE devices will transmit long-term cyclic loads to the seafloor sediment or rock, which may affect seafloor material properties and hence the overall physical performance of the MRE system. The response of seafloor sediments or rock formations is uncertain for the novel MRE systems and especially large arrays of 10s to >1000s of devices. This report summarizes critical inputs and tools for the design and analysis of foundations, anchors, and the response of the seafloor materials

A vidéo titled "Food Webs and the socio-ecosystem approach: towards a better understanding of environmental intégration of offshore renewable energies"

This report consists of a comprehensive description of the logistic functions and associated logistical model forming the installation module developed within the frame of the global DTOcean tool. The overriding goal is to disclose the structure and content of the installation module

A coherent set of functional and technical requirements have been developed for the DTOceanPlus suite of design tools based on analysis of gaps between the current state-of-the-art tools, learning from the original DTOcean project, and the stakeholder expectations identified in the user consultation survey. The technical requirements in this document are translated from the general requirements for the overall suite of tools, and specific requirements (functional, operational, user, interfacing, and data) for the Deployment design tool that will be developed as part of this project.

Comparison of multiparameter probes

Spatial study and sensitivity of network indices to wind farm closure and climate disruption using an Ecospace model

The objective of the CARAVELE project was to improve the characterisation of extreme winds by combining atmospheric models with satellite and in-situ observations.

The objective of the ABIOP project was to develop biofouling characterisation and quantification methods to make the design and maintenance of ORE systems more reliable. ABIOP has identified the research needs that will enable better identification and management of the risks relating to the ORE components most sensitive to biofouling. Initial in situ measurements were also carried out to characterise biocolonisation in the Atlantic and Mediterranean from an engineering and environmental point of view. The necessary additional studies are being carried out within the framework of the ABIOP+ project.

Measurement of the diameter of the biocolonised moorings and the composition of the biofouling at T+12 months of immersion.

Ocean energy is a relevant source of clean renewable energy, and as it is still facing challenges related to its above grid-parity costs, tariffs intended to support in a structured and coherent way are of great relevance and potential impact. The logistics and marine operations required for installing and maintaining these systems are major cost drivers of marine renewable energy projects. Planning the logistics of marine energy projects is a highly complex and intertwined process, and to date, limited advances have been made in the development of decision support tools suitable for ocean energy farm design. The present paper describes the methodology of a novel, opensource, logistic and marine operation planning tool, integrated within DTOceanPlus suite of design tools, and responsible for producing logistic solutions comprised of optimal selections of vessels, port terminals, equipment, as well as operation plans, for ocean energy projects. Infrastructure selection logistic functions were developed to select vessels, ports, and equipment for specific projects. A statistical weather window model was developed to estimate operation delays due to weather. A vessel charter rate modeling approach, based on an in-house vessel database and industry experience, is described in detail. The overall operation assumptions and underlying operating principles of the statistical weather window model, maritime infrastructure selection algorithms, and cost modeling strategies are presented. Tests performed for a case study based a theoretical floating wave energy converter produced results in good agreement with reality.