Frederick Research Center, one of the project partners, announces that the technical implementation of the DYNAMO (Decentralized EnergY maNagement plAtform for sMart cOmmunities) research project, coordinated by Electi Consulting Ltd, has been successfully completed.
At the core of the project is an innovative digital platform that helps local energy communities manage renewable energy more effectively. These communities bring together citizens, businesses, municipalities, and organizations to jointly produce, store, share, and use clean energy in a smarter and more sustainable way.

The platform developed within the framework of the DYNAMO project enables a particularly innovative feature for the Cypriot context: the creation of “smart contracts” using blockchain technology between households that require energy and households with surplus energy production, based on residential photovoltaic systems within the microgrid/community. Through the use of machine learning technology, accurate forecasts of energy production and consumption are generated, enabling optimal energy management and the potential reduction of electricity costs for prosumers. The system automates energy exchanges with transparency, security and in accordance with predefined rules.

At this stage, the pilot testing phase of the project is underway, using real energy consumption and photovoltaic production data from residential prosumers. The pilot testing is carried out by the project consortium members, namely Electi Consulting Ltd (Cyprus), the project coordinating company, and external collaborator Dr Syed Muhammad Danish. The pilot is implemented in compliance with the applicable regulations, restrictions and policies of the Cyprus Electricity Authority (EAC). All processes and operational limits of the platform are aligned with the regulatory framework governing microgrids.

With the technical development completed and the pilot implementation at its final stage, the project is moving into the final phase, which includes platform evaluation, data collection and optimisation of the energy trading model.

The project is co-funded by the Research and Innovation Foundation, with the support of the European Union, under the programme RESEARCH IN ENTERPRISES (ENTERPRISES/ENERGY/1123/0048).