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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

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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Feature Project

CREDENCE

CREDENCE explores two key dimensions of the shift to a renewable based energy system, namely to what extent will energy systems be electrified and what are the optimal levels of decentralization for future energy systems.

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Research Sector
Funding Type
Project Status

BioWILL

BioWILL focuses on Integrated "Zero Waste" Biorefinery utilising all fractions of Willow feedstock for the production of high to medium based Bio-Chemicals/Materials and Renewable Energy

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Advanced Gaseous Biomethane

This project aims to achieve (1) systems integration and optimization for biogas production and upgrading to green gas, and (2) sustainability validation of green gas production.

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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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IMPACT

The IMPACT project is funded under the topic “Building A Low-Carbon, Climate Resilient Future: Secure, Clean And Efficient Energy”.

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INDIGO

INDIGO involves the development of a highly efficient and intelligent DC system based on the development of an innovative and optimized DC system Management Strategy, and the integration of predictive controllers at the component level, some of them including self-learning algorithms for accuracy improvement.

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