-- Warning, deliverable only available in French -- Deliverable D02.03 of the FEM PHYSIC 2015 project Lot 2: Definition of the data acquisition strategy Task 1: Synthesis of knowledge

-- Warning, deliverable only available in French -- Delivrable D02.05 of the FEM PHYSIC 2015 project WP 2: Definition of the data acquisition strategy Task 2: Choice of measuring instruments

-- Warning, deliverable only available in French -- Delivrable D02.05 of the FEM PHYSIC 2015 project WP 2: Definition of the data acquisition strategy Task 2: Choice of measuring instruments

-- Warning, deliverable only available in French -- Delivrable D02.05 of the FEM PHYSIC 2015 project WP 2: Definition of the data acquisition strategy Task 2: Choice of measuring instruments

-- Warning, deliverable only available in French -- Delivrable D02.05 of the FEM PHYSIC 2015 project WP 2: Definition of the data acquisition strategy Task 2: Choice of measuring instruments

This document includes the main requirements, use cases, as well as implementation details and is completed with some examples; it can serve as a technical manual of the catalogues module. This document describes the functionalities and the technical aspects of the code implemented to meet them. The catalogues module will provide users with a single source of reference data that can be managed and used in other modules or tools of the DTOcean+ suite to ease inputs during different phase of a project.

This report describes the methodology used to refine the validation scenarios and the compilation of required data inputs, accounting for the different potential use cases

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.

The present document refines the previous version submitted in October 2019, updates the initial assumptions, and depicts more clearly the exploitation routes and actions to reduce risks.

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.