e-GOTHAM

Building the foundations for scalable, interoperable and sustainable microgrid ecosystems.

About the Project

e-GOTHAM was an FP7-JTI ARTEMIS project focused on enabling a new model for aggregated energy demand based on the microgrid concept.
Its goal was to integrate renewable energy sources more effectively, enhance grid management efficiency, and foster a new generation of energy-efficient technologies and business models.

The project delivered:

• A complete microgrid solution for residential, tertiary, and industrial environments
• An open architecture supporting interoperability and scalability
• A smart middleware layer enabling real-time communications and energy optimisation
• Models and algorithms correlating energy, cost, pollution, and behavioural patterns
• A just-in-time adaptive communication model for heterogeneous protocols

Through these developments, e-GOTHAM contributed to shaping next-generation smart grids focused on sustainability, efficiency, and user engagement.

Objectives

e-GOTHAM aimed to:

• Implement a new aggregated energy demand model to dynamically match supply and demand.
• Increase the integration of renewable energy sources, reducing carbon emissions.
• Provide tools to enhance users’ energy awareness and optimise consumption.
• Create an open, scalable and secure architecture for microgrid management.
• Develop a middleware supporting interoperability, real-time measurements, and reliable communications.
• Build a large-scale embedded systems network for smart energy management.
• Enable market-oriented innovations addressing needs of energy producers, microgrid operators, consumers, and regulators.
• Establish an ecosystem to promote the development of new services and products beyond the project’s lifetime.

Project Information

Universidad Politécnica de Madrid (UPM) Contribution

UPM, through the GRyS Research Group, contributed to e-GOTHAM in several key technological and scientific areas:

• Design and integration of open, interoperable middleware technologies for smart grid environments.
• Development of models and algorithms for dynamic energy optimisation across heterogeneous microgrid components.
• Support in the creation of scalable embedded systems networks enabling real-time monitoring and control.
• Collaboration on smart data management strategies, correlating energy, pollution, cost and behaviour patterns.
• Participation in pilot deployments validating the system in real operational contexts.

Funding

This project received funding from the European Union under the FP7-JTI ARTEMIS programme, project codes ART-010000-2012-3 / ARTEMIS-295378.