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The data of this dataset comes from simulations performed in the software TRNSYS. The simulations were performed for the study case of a multi-family building situated in the climate of Tarragona, Spain, where the HVAC systems comprise a centralized dual source heat pump system. The simulations were done for 3 representative weeks selected for different seasons (winter, spring, summer). Each time, the simulation is performed twice: once with a standard reference control, and a second time with the advanced energy management system (AEMS) in control, programmed in GAMS and coupled with the TRNSYS simulation. Hence there are 6 tests in total, one per Excel sheet in the dataset file. The description of the columns is shown in the following table: Name Unit Description Tamb ºC Ambient outdoor temperature Irr kJ/h.m2 Solar irradiation horizontal Troom ºC Room temperature Troom_set ºC Room set-point temperature Pel_FCU kW Electrical power consumption of the FCU Qth_cool_FCU kW Thermal cooling power of the FCU Qth_heat_RadFl kW Thermal heating power of the radiant floor TDHW_up ºC Temperature at the top of the DHW tank TDHW_lo ºC Temperature at the bottom of the DHW tank TSHC_up ºC Temperature at the top of the SHC tank TSHC_lo ºC Temperature at the bottom of the SHC tank Pel_HH_kW kW Electrical power consumption of the appliances Pel_PV_kW kW Electrical power generation of the PV Pel_HVAC_kW kW Electrical power consumption from the HVAC incl. HP Pel_Grid_kW kW Electrical exchange with the grid Pel_Bat_kW kW Charging/discharging power of the battery SOC_Bat % State of charge of the battery Qth_SH_kW kW Thermal heating power produced by the HP for space heating Qth_SC_kW kW Thermal cooling power produced by the HP for space cooling Qth_DHW_kW kW Thermal heating power produced by the HP for DHW Pel_HP_kW kW Electrical consumption of heat pump These results were extensively described in the deliverable D6.5 of the TRI-HP project.
TRNSYS, model predictive control, energy flexibility, advanced energy management, energy simulation, building performance
TRNSYS, model predictive control, energy flexibility, advanced energy management, energy simulation, building performance
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