Projects

MaREI has achieved significant success in EU and national funding programmes, which facilitates our cooperation with numerous partners from industry, academia and government across 31 countries. MaREI’s portfolio of projects demonstrates our successful track record in high-impact collaborative research, comprising our participation – as partner and coordinator – in all pillars of H2020, as well as in all strands of INTERREG, and the programmes of other European agencies.

Feature Project

Nature+Energy

Nature+Energy is founded on the idea that wind farms have the potential to provide so much more than renewable energy.

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Feature Project

HIGHWAVE

HIGHWAVE is an interdisciplinary European Research Council (ERC) project at the frontiers of coastal/ocean engineering, earth system science, statistics, and fluid mechanics that will explore fundamental open questions in wave breaking.

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Feature Project

HyLIGHT

HyLIGHT is a 3-year project funded by Science Foundation Ireland (SFI) and a 25-strong industry consortium through MaREI the SFI Research Centre for Energy, Climate and Marine, UCC, DCU & NUIG.

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Feature Project

Dingle Peninsula 2030

Dingle Peninsula 2030 is a multi-partner initiative based on the Dingle Peninsula, in Co. Kerry. It involves the Dingle Creativity and Innovation Hub, ESB Networks, the MaREI Centre, and North East West Kerry Development (NEWKD).

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Re-Wind

Re-Wind : Reuse and Recycling of Decommissioned Composite Material Wind Turbine Blades

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SIRMA

SIRMA aims to develop, validate and implement a robust framework for the efficient management and mitigation of natural hazards in terrestrial transportation modes at the Atlantic Area

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TRANSLATE

TRANSLATE aims to develop a defined set of standards for developing climate projections for Ireland

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Monitoring and analysis of the wave climate in Brandon Bay

The project involves the deployment of a waverider buoy in the centre of Brandon Bay, Co. Kerry, to determine the wave climate in the bay.

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Modelling coastal erosion in Brandon Bay

This project aims to develop a coupled tide-wave-morphological modelling system that can predict shoreline erosion.

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