Heatpump

class enflow.assets.heatpump.HeatPump(capacity: float, cop: float, energy_source: str, *, name: str | None = None, location: GeoLocation | None = None, latitude: float | None = None, longitude: float | None = None, altitude: float | None = None, tz: timezone | None = None, timeseries: TimeSeries | None = None)[source]

Bases: EnergyAsset

Represents a heat pump in an energy system.

capacity: float: The heating or cooling capacity of the heat pump in kilowatts (kW).

cop: float: Coefficient of Performance - the ratio of heating or cooling provided to electrical energy consumed.

energy_source: str: The primary energy source used, e.g., ‘electricity’, ‘geothermal’.

altitude: t.Optional[float] = None

geometry_to_geojson(geometry)

get_location()

latitude: t.Optional[float] = None

location: t.Optional[Location] = None

longitude: t.Optional[float] = None

name: t.Optional[str] = None

plot_timeseries(start_date: str | DatetimeIndex | None = None, end_date: str | DatetimeIndex | None = None) → Axes

Plots a pandas Series using its built-in plot method.

Args:: start_date: The start date for the plot. end_date: The end date for the plot.
Returns:: The Matplotlib Axes object of the plot.

timeseries: t.Optional[TimeSeries] = None

to_dataframe(): Convert data class to a pandas DataFrame.

to_geojson(exclude_none=True)

to_json(include_none: bool = False) → str

tz: t.Optional[pytz.timezone] = None