The aim of this document is to present the activity carried out by the four industrial partners who validated the DTOcean+ suite against five wave energy validation scenarios.

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.

A coherent set of functional and technical requirements have been developed for the DTOcean+ 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 software suite of tools, and specific requirements (functional, operational, user, interfacing, and data) for the assessment tools that will be developed as part of this project.

This report documents the outcome of the verification of the deployment design tools.

This report collates the materials used throughout the DTOceanPlus project on knowledge exchange and training.

This report collects the outcome of the work carried out to fully describing the data used for a generic ocean energy system design in a structured manner. This has been done by means of the definition of a digital representation for the elements of the whole system at different levels of aggregation (array, devices, sub-systems, and components) and accounting for different levels of complexity of the project. The ambition of the present framework is to standardise the data formats describing an ocean energy design so that it can be used as a common interchange language among different sector actors

This report describes the methodology used to define the “validation scenarios”, accounting for the different potential use cases. Given the large number of permutations of tools, use cases, and the set of minimum validation requirements, the number of validation scenarios has been reduced to a number that can be run during the life of the DTOceanPlus project but that are sufficient to fully demonstrate the functionality of the DTOceanPlus suite of tools. The selection process, based on a successive approximation approach, has led to the cases that the potential users in the DTOceanPlus consortium have considered as the most relevant for the sector. In Section 4 of the document, the selected validation scenarios is described; the definition of these scenarios has been completed during the project to ensure that the most updated information is used.

This report provides a critical evaluation of the ocean energy sector’s legal, institutional, and political frameworks with an identification and analysis of barriers and enabling factors for the deployment of ocean energy.

The data management plan covers the complete research data life cycle. It describes the types of data that will be generated or collected during the project, the standards that will be used, how the data will be preserved and what parts of the datasets will be shared for verification or reuse.

This report describes the compilation of required data inputs for the various validation scenarios. Each scenario is characterised through a set of project data, inherent to the technology as well as meteocean conditions and other location related data. Further engagement with the validation leaders is ensuring that the data is adequately formatted for the purposes of running the DTOcean+ tools.