Читать книгу Smart Buildings, Smart Communities and Demand Response - Группа авторов - Страница 8
Symbols
Оглавление| C i | Day-ahead price per hour for hours 1–24 |
| C_(E, T) | Total energy plus taxes (€) |
| Day-ahead hourly unit cost of energy in each building (€/kWh) | |
| C T | Total tax charges (€) |
| C S | Energy procurement cost (€) |
| C 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.
