About the Project

The ratio of energy consumption/savings worldwide due to the application of ICT is expected to significantly decline during the upcoming decades. Individual appliances to whole buildings continuously incorporate local intelligence. Smart grids are more intensively integrated with tertiary building energy management systems and distributed energy generators such as wind and solar. This requires the reliable management of smart grids. Optimal energy management strategies require controllability, predictability both on a local but also on a global scale incorporating all types of DER (micro-generation, RES, energy storage systems and demand). It should do so in a distributed but coordinated manner on a critical scale (dynamically addressing just the minimal required parts of the energy infrastructure into considerations and balancing concerns with the others). Furthermore, such distributed artificial intelligent management should be adaptive to various foreseeable scenarios.

IT Contribution to Future Energy Consumption

IT Contribution to Future Energy Consumption

To this end, INERTIA addresses challenge

“Data management infrastructures to allow electricity production and consumption to be
measured, reported and controlled (and eventually credited or billed)”

and aims to deliver an efficient Distribution Grid overlay control/management infrastructure that will maximize the response capacity of the vast small commercial prosumer base (tertiary buildings, offices etc), presenting incentives and delivering benefits through their automated active participation in the energy market. INERTIA will extend DSM strategies by incorporating various types of DER (including local generation and consumption capacity) instead of simple consumer loads and treating both local generation and consumption under a single unified framework. The concept of DER flexibility will also be extended incorporating various local context parameters affecting DER operation, performance as well as DER potential capacity to provide flexibility services to the Distribution Grid.

The Inertia Concept

The INERTIA Concept

INERTIA will introduce the Internet of Things/Services principles to the Distribution Grid Control and DSM Operations. It will provide an overlay network for coordination and active grid control, running on top of the existing grid and consisting of distributed and autonomous intelligent Commercial Prosumer Hubs. This way, it will address the present “structural inertia” of DG by introducing more active elements combined with the necessary control and distributed coordination mechanisms. Semantically enhanced DER (generation and consumption) will be the main constituents of the INERTIA active DG framework. DER will constitute active and flexible components carrying contextual knowledge of their local environment. DER will form dynamic clusters comprising self-organized networks of active nodes that will efficiently distribute and balance global and local intelligence.
The DER self-organized overlay network will allow for seamless management and control of the active grid and the optimal exploration of single and aggregated prosumer capacity (generation and consumption) to participate in energy balancing and other DG related services.
Global Operational & Technical Distribution Grid parameters will be seamlessly and continuously translated into real-time Local DSM Strategies. INERTIA will offer fine grained control (equivalent or even higher than existing Direct Control Programmes) while also protecting privacy and autonomy on the local level, fully respecting prosumer preferences and needs. INERTIA will promote the efficient integration of flexible demand with distributed generation within the smart grid as the mean to tackle the problems resulting from the continuous and massive integration of distributed intermittent and non-controllable renewable sources. INERTIA will propose viable Business Models for flexible service-oriented contracts distributing potential benefits to all stakeholders involved in the DSM value chain.

Last Update: 18/12/2015 18:09