About the project

In order to reduce greenhouse gas emissions and increase a share of renewables in annual electricity consumption, SABINA targets the cheapest possible source of flexibility in energy management system: existing thermal inertia in buildings. Its approach relies on three synergetic management schemes taking place at different time horizons. Long-term management (daily horizon): by aggregation and management of the electric and thermal flexibilities at district level and by conversion and storage of the excess electrical energy to thermal energy in the freely available building inertia. Short-term management (second to minute horizon): by optimization of control algorithms for renewable production inverters, based on automatic grid topology (impedance) mapping.

The project seeks to develop a methodology for automatic identification of the thermal inertial of buildings, to develop building consumption and production prediction algorithms (including renewables), to develop management algorithms for district based and end-user based renewables integration optimization, to develop and implement the aggregation tool for electric and thermal to provide services to the networks operators (power grid and heat grid) and balancing responsible parties (power market), to develop and promote the usage of a novel generation of Remote Terminal Unit capable of advancing sensing and communication capabilities and its functionalities in the distribution network.

DIGITAL SME will be responsible for all activities connected with the standardization. In WP1 it will identify the project items candidates for standardization and also standards for validation of the system. In WP7 it will firstly perform the study of existing standardization ecosystem, afterwards it will analyse the standards gap and prepare the contribution to standardization. Moreover, DSME will be highly involved in dissemination activities in WP7, where it will organize workshops for SMEs in order to raise awareness about standards.

Duration: 48 months


The project is co-financed by the European Union under the Horizon2020 Research and Innovation programme.

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