This report presents the uncertainties and environmental impact dependencies on array changes. This document includes content about wave and tidal uncertainties as well as environmental issues related to array design

This deliverable is a review of existing approaches and methodologies for the analysis of ocean energy arrays with a clear focus on the results and conclusions provided by previous experiences. The key outcome is the definition of quantifiable and qualitative metrics for economic viability, reliability and environmental impact which have been adopted in the global set of tools developed within the project DTOcean

This deliverable is the second report on dissemination and communication activities, i.e. the end of the project review. It presents all of the activities which have taken place within DTOcean project

This deliverable reports on the framework for the prediction of the reliability, economic and environmental criteria and assessment methodologies for moorings and foundations.

Project website is one of the main communication and dissemination tools. Web presence is therefore a central element of the DTOcean project and activities

This report is a comprehensive description of the environmental impacts related to operations and maintenance. All marine operations related to inspection, maintenance and repair lead to environmental impacts due to vessel traffic, noise emissions, handling of mooring lines, anchors and cables, etc.

The objectives of the DTOcean project were: • To accelerate the industrial development of knowledge related to wave and tidal energy production. • To provide design tools for the deployment of the first generation of ocean energy systems.

In this paper, the applicability of offshore mooring/foundation technologies for marine renewable energy device arrays are assessed

Variability in the predicted cost of energy of an ocean energy converter array is more substantial than for other forms of energy generation, due to the combined stochastic action of weather conditions and failures. If the variability is great enough, then this may influence future financial decisions. This paper provides the unique contribution of quantifying variability in the predicted cost of energy and introduces a framework for investigating reduction of variability through investment in components.

This report details the algorithms for implementation of the effects of array changes on device cost