Greenhouse

src.Sink.characterization.greenhouse.greenhouse(in_var)

Greenhouse characterization

Simulates the heat (space heating) needs over the year according to the greenhouse specifications and climate weather data of the location

Parameters

• in_var (dict) –

  All necessary data to perform the building characterization data, with the following key:

  platform: dict

  Data obtained from the platform, with the following keys:

  • locationlist

    Location [º]; [latitude,longitude]

  • width: float:

    Width [m]

  • length: float:

    Length [m]

  • height: float:

    Height [m]

  • greenhouse_orientation: str:

    Greenhouse’s main facade orientation; “N”,”S”,”E” or “W”

  • daily_periods: float:

    Period of daily periods [h]

  • shutdown_periods: list:

    Period of days stream is not available [day]

  • greenhouse_efficiency:

    Greenhouse air infiltration tightness:

    1 = tight cover with low infiltrations 2 = medium sealing 3 = leaky cover

  • T_heat_on: float:

    Heating setpoint temperature [ºC]

  • thermal_blanket:

    If greenhouse has a thermal blanket/curtain being used at night; 1=yes,0=no

  • artificial_lights_system:

    lighting hours in greenhouse; 1=yes,0=no

  • ref_system_fuel_type: str

    Fuel type associated; e.g. “natural_gas”,”electricity”,”biomass”,”fuel_oil”,”none”

  • ref_system_eff_equipment: float, optional

    COP of the cooling equipment;

  • real_monthly_capacity: dict, optional

    Real monthly data - for each month of the year

  • real_yearly_capacity: float, optional

    Real yearly data - single value

  • hours_lights_needed:

    hours of light the plant needs (accounting with daily solar hours) [h]

  • supply_temperature_heat: float, optional

    Heating System ReturnTemperature [ºC]; DEFAULT=30

  • target_temperature_heat: float, optional

    Heating System Supply Temperature [ºC]; DEFAULT=50

  • leaf_area_index, optional

    Ratio of leaf area over ground area []; DEFAULT=1

  • rh_air, optional

    Relative humidity [%]; DEFAULT=80

  • u_cover, optional

    Cover thermal conductivity [W/m2.K]; DEFAULT=6

  • indoor_air_speed, optional

    Indoor air velocity [m/s]; DEFAULT=0.1

  • leaf_length, optional

    Characteristic length of a plant leaf [m]; DEFAULT=0.027

  • tau_cover_long_wave_radiation, optional

    Cover transmissivity coefficient to long-wave radiation; DEFAULT=0.3

  • emissivity_cover_long_wave_radiation, optional

    Cover emissivity coefficient to long-wave radiation; DEFAULT=0.2

  • tau_cover_solar_radiation, optional

    Cover’s transmissivity coefficient to solar radiation []; DEFAULT=0.9

  • power_lights, optional

    Light power per square meter [W/m2]; DEFAULT=20

• kb (dict) – Knowledge base data

Returns

• output (dict)

• Streams data

• - streams (list) –

  List with dicts of all streams with the following keys:

  • idint

    stream ID []

  • namestr

    Stream name []

  • object_typestr

    DEFAULT = “stream” []

  • object_linked_id

    None: DEFAULT=NONE, since no equipment/process is associated

  • stream_typestr

    Stream designation []; inflow, outflow, excess_heat

  • supply_temperaturefloat

    Stream’s supply/initial temperature [ºC]

  • target_temperaturefloat

    Stream’s target/final temperature [ºC]

  • fluidstr

    Stream fluid name

  • flowratefloat

    Stream mass flowrate[kg/h]

  • schedulelist

    Hourly values between 0 and 1, according to the capacity ration on that hour

  • hourly_generation: list

    Stream’s hourly capacity [kWh]

  • capacityfloat

    Stream’s capacity [kW]

  • monthly_generationlist

    Stream’s monthly capacity [kWh]

  • fuelstr

    Associated equipment fuel name []

  • eff_equipmentfloat

    Associated equipment efficiency []