Building description: The building is the HSB living lab which develops new ways to build and shape the housing of the future in close collaboration between people, researchers and the business community. It is a multifamily building that is mainly inhabited by students and contains 29 flats and 34 occupants (presently) over 5 floors plus roof access and ventilation plant area. The flats are distributed North and South of the central stairwell with the services for these living spaces accessible from the stairwell. The building has been specifically designed with the intention to test new technologies and all inhabitants agree to this and to also participating in any research as is required. The building is data rich, with energy, occupancy and weather monitoring spanning all the scales of the building; from individual apartments, to H&C distribution systems to connection to the energy grids.
Heating & Cooling system: Building energy sources include: DHN connection (122 kW heat exchanger substation capacity); solar PV (14kWp on vertical and roof space); heat pumps (2 x 9kW ASHPs); borehole heat exchangers. The heating system for radiators has a maximum flow temperature of 50°C, then there is also a floor heating circuit that has a maximum value of 35 – 40°C in flow temperature. The yearly heat supply to the building through DHN is 60 MWh (2018-2021 average); the yearly electricity consumption attests at 86 MWh.
- Hardware: Installation of 5 FractLES for heating/DHW to be installed at “single flat level” 9 kWh each, total energy storable 45 kWh. 4 FractLES for heating/DHW to be installed at “centralized level” 14 kWh each, total energy storable 56 kWh, to be operated in parallel to the DHN connection. The FractLES will also integrate PtH solution to be charged by renewables, adding flexibility to the operation. The optimal operation and coordination of the installations will be supported by the ALGOW BEMS controlling strategies.
- Software: the WECoMP thermo-economic tool will be applied in the design phase of the validation and the GRADY tool will be used to investigate optimize the interaction between the distributed TESs and the DHN.