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Smart building rating calculator

This package allows users to calculate Smart Building Ratings (SBR) and their associated SBR 'archetype'. In brief, the smart building rating is a metric that measures a building’s potential to flex its energy demand. More information on the concept and methodology used to compute the SBR can be found on our website.

Installation

To install this package, run

pip install smart-building-rating-calculator

Performing the SBR calculation

The main SBR calculation is done with the sbr_score function which takes in user inputs, and outputs:

  1. SBR value (between 0 and 100)
  2. SBR rating (A-G)
  3. Flex Archetype (see flexer_enums.py).

Inputs must have datatypes as defined in inputs.py

  • Most inputs are bool type (True/False)
  • Others are StrEnum type e.g., charger_power must have a value of EVChargerPower("3 kW"), EVChargerPower("7 kW"), EVChargerPower("22 kW"), or EVChargerPower("None")
  • Upon calling sbr_score, correct input datatypes are automatically checked. An error is raised if input datatypes are incorrect.

Here's an example of how to compute the SBR for a given set of inputs, using the sbr_score function.

from smart_building_rating_calculator.calculate_sbr_score import sbr_score
from smart_building_rating_calculator.inputs import (
    BatterySize,
    EVChargerPower,
    HeatingSource,
    HotWaterSource,
    SolarInverterSize,
)
sbr_val, sbr, flex_archetype = sbr_score(
    smart_meter=True,
    smart_ev_charger=True,
    charger_power=EVChargerPower("7 kW"),
    smart_v2g_enabled=True,
    home_battery=True,
    battery_size=BatterySize("8kWh or greater"),
    solar_pv=True,
    pv_inverter_size=SolarInverterSize("4 kW or less"),
    electric_heating=True,
    heating_source=HeatingSource("Heat Pump"),
    hot_water_source=HotWaterSource("Heat Battery / Electric Hot Water Tank"),
    secondary_heating=True,
    secondary_hot_water=True,
    integrated_control_sys=True)