The ORIGIN project's mission is to develop a sophisticated intelligent ICT system for the management of energy in a community, and associated business models, focussed on the concepts of aligning energy demand with the availability of renewables-based supply, addressing community goals for cost, carbon footprint and other objectives.

The ENCOURAGE project aims to develop embedded intelligence and integration technologies that will directly optimize energy use in buildings and enable active participation in the future smart grid environment.

Smart energy networks (SENs) are electric systems that use two-way networking technologies, cyber-secure communications technologies, and computational intelligence and control in an integrated fashion to efficiently manage energy consumption with the aim of providing a new electricity grid that is clean, safe, secure, reliable, resilient, efficient, and environmentally sustainable. SENs can be well regarded as a system of many systems, whose design challenges, requirements, and expectations can only be achieved through a holistic analysis, design, and optimization of all its components.

The objective of this research proposal is to bring time awareness and evolution into the design of System-of-Systems (SoS), to establish a sound conceptual model, a generic architectural framework and a design methodology, supported by some prototype tools, for the modeling, development and evolution of time-sensitive SoSes with possible emergent behaviours. Special emphasis is placed on evolution, emergence, dependability (e.g. safety, availability) and security, considering embedded devices and the cloud as the execution platform.

DOLFIN addresses the demand/response and energy stabilisation scenario of the Smart Grid by optimising the energy consumption of Data Centres (DC), accompanied, if necessary, with a respective negotiation and readjustment of the DC's Service Level Agreements (SLAs).

The e-DASH project aims at the harmonization of electricity demand in Smart Grids for sustainable integration of electric vehicles. This is addressed by an intelligent charging system supported with real-time exchange of charge related data between EVs and the grid. Adopting the e-DASH approach allows high current fast-charging for large numbers of EVs in a brand-independent way and price-adaptive charging/reverse-charging at optimum price for the customer leading to increased desirability of EVs. In order to prevent damages of costly EV batteries, sophisticated charge control is inevitable.

PowerUp aims to develop the Vehicle-2-Grid (V2G) interface, involving a full development cycle of physical/link-layer specification, charging control protocol design, prototyping, conformance testing, field trials, and standardisation. Its results will ensure that EVs smoothly integrate into emerging smart-grid networks. Thereby the efficiencies resulting from robust grid operation may be achieved; V2G capabilities will smoothen the daily fluctuation of electricity demand and will enable EVs to act as emergency energy supplies.

The RESILIENT project aims to design, develop, install and assess the energy and environmental benefits of a new integrated concept of interconnectivity between buildings, DER, grids and other networks at a district level. The RESILIENT approach will combine different innovative technologies including smart ICT components, optimized energy generation and storage technologies, also for RES, integrated to provide real time accounts of energy demand and supply at a district level and assist in decision-making process.

The project ENDORSE aims at a user-driven development of downstream services in renewable energies by exploiting the GMES Core Services (MACC, SAFER and Geoland 2) together with other EO/in-situ data and modelling. It addresses regional services promoting the energy use from sun, wind, and biomass, electricity grid management and building engineering through day lighting in buildings.

Smart-I proposes a network of optical sensors to be installed on lamp posts in order to modify the light intensity according to the necessities of the urban environment. Unlike other similar products, these sensors not only turn the lights on or off, but also regulate lighting intensity depending on concrete traffic needs.According to studies conducted by Smart-I, the application of these sensors would allow for a reduction in energy consumption for public illumination of up to 49%.