The DIMMER system interfaces with building information, and district energy distribution networks models, and integrates them with real-time data from pervasive sensors at the network and building level and user-profile as well as feedback information. It allows access and visualize “in-the-context” real-time information exploiting web services generated using an ontology-based approach.

Thanks to the open service based interface, client applications can be developed to:

  1. Visualize in real-time energy related information in the building and district environment;
  2. Correlate user profiling and feedback information with building and district utilization to opportunities for energy distribution optimization;
  3. Optimize policies based on more fine information real-time energy production/consumption and environmental conditions;
  4. Perform cost and energy analysis that would enable the offer of personalized tariff plans and their evaluation on the basis of profiled use of energy.

Various traders can propose their applications and promote alternative and competitive tariff plans. This will represent a new instrument that will also make the user more conscious about economic implications of their actions and of possible trader migration.

In order to achieve these results, the following technologies will be developed:

  • Real-time data collection. Exploitation of real time data from pervasive sensors in buildings (smart plugs, environmental sensors) to provide actual information about buildings usage and their thermal characteristics (i.e. the temperature profiles can be used to inspect thermal inertia).
  • Advanced middleware technology for data integration. Integration of heterogeneous monitoring systems exploiting state-of-art middleware technologies (such as the one developed in the SEEMPubS project).
  • Simulation and virtual visualization. Virtual model of district based on BIM and models of energy distribution plants to enable simulation and interactive visualization of energy flows, building real-time parameters and people behaviour (i.e. their feedback in terms of comfort conditions) and profiling (e.g. building occupancy based on working/non working hours).
  • User/social profiling, visualization and feedback. Integration of a social behaviour model used to enable the virtual observation of user behaviours in the DIMMER virtual visualization framework. User feedback collected by means of advanced interfaces (see Web-oriented interactive interface item below) is collected and used to build social behaviour models and foresee user attitudes and demand.
  • Energy efficiency and cost analysis engine. Exploiting real-time information from buildings and from smart district heating/cooling and grid (including distributed generators – DG), building models and user behaviour models the optimal energy distribution can be computed. Depending on the type of buildings and the possible actuation, the output of this analysis can be used to suggest more efficient behaviours for private users, or to actuate optimized distribution policies in public buildings. The analysis engine will be able to suggest more convenient behaviours by accounting for variable tariffs. The key for user acceptance of these suggestions is to enable application suggesting actions in real-time on their personal devices through an innovative interface (see web-oriented interactive interface item).
  • Web interface and interaction. Web service-oriented infrastructure enabling the development of remote clients for visualization of DIMMER information about the energy efficiency, user interaction to promote energy-friendly behaviour. Within the project applications for QR-code and A/R based applications for easy and attractive user awareness and feedback collection will be developed. Actions to improve energy efficiency will be suggested in real-time. The usage of A/R technology where possible will make more effective the interaction with the system using personal devices such as smart-phones and tablets.

 

Attachments

Work Packages Relations  Smart Grid Scheme