def from_dict(cls, data):
"""Create a HVAC object from a dictionary.
Args:
data: A DOAS dictionary in following the format below.
.. code-block:: python
{
"type": "", # text for the class name of the HVAC
"identifier": "Classroom1_System", # identifier for the HVAC
"display_name": "Standard System", # name for the HVAC
"vintage": "ASHRAE_2013", # text for the vintage of the template
"equipment_type": "", # text for the HVAC equipment type
"sensible_heat_recovery": 0.75, # Sensible heat recovery effectiveness
"latent_heat_recovery": 0.7, # Latent heat recovery effectiveness
}
"""
assert data['type'] == cls.__name__, \
'Expected {} dictionary. Got {}.'.format(cls.__name__, data['type'])
# extract the key features and properties of the HVAC
sensible = data['sensible_heat_recovery'] if \
'sensible_heat_recovery' in data else None
sensible = sensible if sensible != autosize.to_dict() else autosize
latent = data['latent_heat_recovery'] if \
'latent_heat_recovery' in data else None
latent = latent if latent != autosize.to_dict() else autosize
new_obj = cls(data['identifier'], data['vintage'],
data['equipment_type'], sensible, latent)
if 'display_name' in data and data['display_name'] is not None:
new_obj.display_name = data['display_name']
return new_obj
def _properties_from_dict(data):
"""Extract basic properties from a dictionary and assign defaults."""
# extract the key features of the HVAC
econ = data['economizer_type'] if 'economizer_type' in data and \
data['economizer_type'] is not None else 'DifferentialDryBulb'
dcv = data['demand_controlled_ventilation'] if \
'demand_controlled_ventilation' in data else False
sensible = data['sensible_heat_recovery'] if \
'sensible_heat_recovery' in data else 0
latent = data['latent_heat_recovery'] if \
'latent_heat_recovery' in data else 0
# extract the heating and cooling temperature
heat_temp = data['heating_air_temperature'] if \
'heating_air_temperature' in data else 50
cool_temp = data['cooling_air_temperature'] if \
'cooling_air_temperature' in data else 13
# extract the heating and cooling limits
if 'heating_limit' not in data or data['heating_limit'] == autosize.to_dict():
heat_limit = autosize
else:
heat_limit = no_limit if data['heating_limit'] == no_limit.to_dict() \
else data['heating_limit']
if 'cooling_limit' not in data or data['cooling_limit'] == autosize.to_dict():
cool_limit = autosize
else:
cool_limit = no_limit if data['cooling_limit'] == no_limit.to_dict() \
else data['cooling_limit']
return econ, dcv, sensible, latent, heat_temp, cool_temp, heat_limit, cool_limit
def _properties_from_dict(data):
"""Extract basic properties from a dictionary and assign defaults."""
sensible = data['sensible_heat_recovery'] if \
'sensible_heat_recovery' in data else 0
sensible = sensible if sensible != autosize.to_dict() else 0
latent = data['latent_heat_recovery'] if \
'latent_heat_recovery' in data else 0
latent = latent if latent != autosize.to_dict() else 0
dcv = data['demand_controlled_ventilation'] \
if 'demand_controlled_ventilation' in data else False
return sensible, latent, dcv