Smart Buildings, Smart Communities and Demand Response. Группа авторов

Smart Buildings, Smart Communities and Demand Response - Группа авторов


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N Network services cost (€) C S,F Energy procurement fixed cost component (€/kWh) C EDD Daily excise duty on electricity and taxes (€) C v,u Various costs normalized per kWh (€/Wh) C F Fixed cost component (€) C pmax Maximum power cost component (€/kW) C AT Active energy cost component (€/kWh) C A–UC Fixed cost for up to 4 GWh per month (€/kWh C EDH Excise duty per kWh (€/kWh) C FAA Parameter to account for F, AT, and A-UC components (€/kWh) C pmax,F Maximum power fixed cost component (€/kW) Icl Clothing insulation (m2K/W) IVA Value added tax (€) Load Shift Daily load shift (kWh)
GA optimized hourly electrical energy (kWh) at building or building group level M Metabolic rate (W/m2) P i Hourly average power consumption of the HVAC in kW (equivalent to kWh)
Hourly temperature set points of the HVAC system the next day C ost E Daily energy operating costs (€) C ost E_Lap Daily energy operating costs of Leaf Lab (L4) building (€) C ost E_Summa Daily energy operating costs of Summa (L2) building (€) C ost E__kite Daily energy operating costs of Kite (L5) building (€) DA h Day-ahead market prices (€/kWh) DA N,h DA price flexible factor per hour ℎ (€/kWh) R Pearson’s coefficient RH Relative humidity (%) T air Air temperature (Tair) (°C) Tr Mean radiant temperature (°C) Vair Relative air velocity (m/s) W Effective mechanical power (W/m2) W c Weighting coefficient for the daily operational cost of energy for the HVAC w pmv Weighting coefficient for the daily thermal comfort
Hourly value of total energy consumption in each building (kWh)
Baseline hourly electrical energy (kWh) based on day-ahead neural network predictions

      Chapter written by Nikos KAMPELIS.

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