The Structured Innovation (SI) design tool forms part of the DTOceanPlus suite of second-generation open source design tools for ocean energy. The SI tool comprises innovation methodologies which can enhance concept creation and selection in ocean energy systems (including sub-systems, energy capture devices and arrays), enabling a structured approach to address complex ocean energy engineering challenges where design options are numerous, and thus it can facilitate efficient evolution from concept to commercialisation.

With the DTOcean software at an important stage in its development, the first of two training workshops foreseen by the project was organised on 5 May 2015, in Glasgow, alongside the All-Energy conference. The workshop was organised with the following goals in mind: validate decisions taken to date with industry stakeholders; generate feedback which will further align the tool with industry needs; and promote the DTOcean tool and enhance its eventual uptake as a result

The objectives of the ABIOP+ project were to : • Provide characterisation protocols for biofouling on cable and mooring lines materials which are very vulnerable to this biological process, in order to collect quantitative in-situ data. • Inventory existing fouling management methods and test the solutions best suited for floating offshore wind turbines.

This document is the first annual report on dissemination and communication activities regarding DTOceanPlus project.

A coherent set of 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 DTOcean project, and the stakeholder expectations identified in the user consultation exercise. The requirements in this document are split into general requirements for the overall suite of tools, and specific requirements (functional, operational, user, interfacing, and data) for each of the design tools that is developed as part of this, which are split by work package and task. They act as user specifications for the tool development work packages, and focus the development effort to best meet the needs of the ocean energy industry. Subsequent tasks of the DTOceanPlus project develop these requirements into more detailed technical requirements and software specifications, prior to software coding and integration, then testing and validation.

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.

During the ABIOP project launch meeting, the consortium agreed to add a task to the project aimed at identifying the challenges of biocolonisation in an ORE context. This additional work is indeed necessary because it allows the organisation, updating and presentation of the reflections undertaken by biofouling experts from various industrial and research entities and federated by FEM, for several years on this topic.