Building decentralIsed, DistributEd And Local micro-GRids for dEcarbonisation Electrification challeNge

The IDEAL4GREEN project addresses the urgent challenges of climate change and the global shift towards sustainable energy systems.

It focuses on developing and integrating microgrids, which are crucial in managing the variability of renewable resources and achieving decarbonisation targets.

The project aligns with the EC's commitment to carbon neutrality by 2050 by empowering energy communities and optimising local supply and demand.

The project proposes a comprehensive doctoral training network aimed at developing skilled engineers with interdisciplinary and inter-sectoral expertise.

This network diverges from conventional university-based research, maintaining strong industry links and emphasising practical implementation.

IDEAL4GREEN consists of 8 beneficiaries and 11 partner organisations, recruiting 15 doctoral candidates to undertake research on microgrids' planning, design, operation, control, and impact assessment.

The research encompasses innovative frameworks and methodologies for integrating microgrids and transforming traditional grids into sustainable energy systems.

This includes developing advanced control algorithms, cybersecurity, improving mechanisms for microgrid islanding and reconnection, and enhancing the resilience and reliability of interconnected microgrid systems. The project also explores the planning, policy, and economic feasibility of interconnected grids and microgrids.

It emphasises creating complete and integrated microgrid design frameworks, utilising integrated energy system modelling, and investigating regulatory policies.

In terms of training, the DCs will engage in a mix of academic and industrial experiences, including secondments and networking meetings, ensuring their exposure to both theoretical knowledge and practical skills.

The training program covers various aspects, such as advanced technical skills, collaborative communication, critical thinking, problem-solving, and adaptability.