Objectives of this WP are

  • Review of building selection inside the identified districts taking into account heterogeneity of building typology (construction period, dimensions, materials, use), end users, inclusion of micro generation systems coming from renewable (if available), etc. As describe in Section 1, the districts will be two, one in Turin and the other one in Manchester to cover a wide range of typologies easily replicable in Europe.
  • Definition of the sensors and of the monitoring and control equipment. This WP, falling in the diagnostic type (proactive, automated systems & advanced diagnosis), aims at identifying and model all the existing parameters and components having an impact on the energy consumption of the existing buildings in the urban area they belong to, integrated in the energy distribution grid.
  • Energy auditing of selected building as a whole and their surrounding and measurements in real time of thermal and lighting data at district level.
  • Energy saving potential: Comparison simulation results between a standard reference consumption and an ICT-equipped district use of energy.

WP progress


Achievement since the beginning

  • The buildings to be studied and monitored, the network characteristics and the means of monitoring energy networks have been defined for both districts in Turin and Manchester.
  • Together with already existing sensors (making part of heating network or electrical grid), additional ultra low power “smart” sensor node based on microcontrollers, on integrated low-cost sensors (MEMS-based) and on communication wireless devices (reliable and energy-efficient radio transceivers in sub-GHz frequency range) are being developed and will be soon installed .
  • A set of quantities that will be measured in the two districts has been defined as well as the data format specifications necessary to apply the DIMMER strategy.
    Within the Turin demo, policies related to smart district heating management have been defined as well as the district and building parameters to be monitored to enable characterization of the district heating system unefficiencies and promote a better management of it.
  • Within the Manchester demo, the attention has been focused on the investigation of electricity and gas distribution systems in order to define the user appliances and the strategy to engage final users in taking behaviours aimed at reducing electric and gas base load by limiting energy waste.
  • A matrix able to compare different elements of demonstrators has been created in order to allow the definition of energy typologies that can be extrapolated to other district realities in Europe.
  • The specifications for a large number of real-time sensors were defined for high resolution and pervasive sensing of energy fluxes (both thermal and electrical) related to district’s buildings; this was done in cooperation within the system developers (STP, ARUP and IREN), the building experts (POLITO) and in parallel with the middleware-related activities (FIT and POLITO). Moreover, the use of smart sensors installed inside the buildings allows fine-grained profiling of users’ behavior in terms of their energy consumption in daily activities. This in turn allows implementing strategies for a more efficient use of fossil fuel, optimizing energy consumption by leveraging on renewable energy sources and/or thermal storage systems, when available.
  • Preliminary results obtained by implementing the tools defined in the Energy Efficiency Engine using the available measurements in the two districts are obtained. In the case of the Turin district, an optimization has been performed by varying the thermal request profile of the users. This involves measurements operated in the plants, in the network, in the thermal substations and in the buildings. Results based on the available measurements show that significant reductions in the primary energy consumption and CO2 emissions are possible. An application of the DIMMER approach to the urban area allows reductions in the peak request of about 10%, a significant increase in the heat produced through cogeneration and a consequent reduction in the use of boilers. During the third year the approach should be extended to other building typologies and the internal temperatures resulting from the application of the optimized profiles should be checked using measurements and detailed simulations.