def execute(self, parameters, messages):
import cea.demand
reload(cea.demand)
scenario_path = parameters[0].valueAsText
locator = inputlocator.InputLocator(scenario_path)
cea.demand.demand_calculation(locator=locator, gv=gv)
def test_properties():
"""
Run the properties script with input from the reference case and compare the results. This ensures that changes
made to this script (e.g. refactorings) do not stop the script from working and also that the results stay the same.
"""
locator = inputlocator.InputLocator(scenario_path=r'C:\reference-case\baseline')
properties(locator=locator, prop_thermal_flag=True, prop_architecture_flag=True, prop_hvac_flag=True, gv=gv)
print 'test_properties() succeeded'
def execute(self, parameters, messages):
from cea.embodied import lca_embodied
yearcalc = int(parameters[0].valueAsText)
scenario_path = parameters[1].valueAsText
locator = inputlocator.InputLocator(scenario_path=scenario_path)
lca_embodied(yearcalc=yearcalc, locator=locator, gv=gv)
def test_graph_demand():
# HINTS FOR ARCGIS INTERFACE:
# the user should see all the column names of the total_demands.csv
# the user can select a maximum of 4 of those column names to graph (analysis fields!
analysis_fields = ["Ealf_kWh", "Qhsf_kWh", "Qwwf_kWh", "Qcsf_kWh"]
locator = inputlocator.InputLocator(
scenario_path=r'C:\reference-case\baseline')
graphs_demand(locator=locator, analysis_fields=analysis_fields)
def test_heatmaps():
locator = inputlocator.InputLocator(
scenario_path=r'C:\reference-case\baseline')
selection = 'Total_Demand.csv'
path_variables = locator.get_demand_results_file(selection)
path_results = locator.get_heatmaps_demand_folder()
analysis_field_variables = ["Qhsf_MWhyr", "Qcsf_MWhyr"] # noqa
heatmaps(locator=locator,
analysis_field_variables=analysis_field_variables,
path_results=path_results,
path_variables=path_variables)
def execute(self, parameters, messages):
from cea.properties import properties
scenario_path = parameters[0].valueAsText
locator = inputlocator.InputLocator(scenario_path)
prop_thermal_flag = parameters[1]
prop_architecture_flag = parameters[2]
prop_HVAC_flag = parameters[3]
properties(locator=locator,
prop_thermal_flag=prop_thermal_flag.value,
prop_architecture_flag=prop_architecture_flag.value,
prop_hvac_flag=prop_HVAC_flag.value,
gv=gv)
def test_lca_operation():
Qww_flag = Qhs_flag = True
Qcs_flag = Qcdata_flag = Qcrefri_flag = True
Eal_flag = Eaux_flag = Epro_flag = Edata_flag = True
locator = inputlocator.InputLocator(
scenario_path=r'C:\reference-case\baseline')
lca_operation(locator=locator,
Qww_flag=Qww_flag,
Qhs_flag=Qhs_flag,
Qcs_flag=Qcs_flag,
Qcdata_flag=Qcdata_flag,
Qcrefri_flag=Qcrefri_flag,
Eal_flag=Eal_flag,
Eaux_flag=Eaux_flag,
Epro_flag=Epro_flag,
Edata_flag=Edata_flag)
print 'test_properties() succeeded'
def execute(self, parameters, messages):
from cea.emissions import lca_operation
import inputlocator
scenario_path = parameters[0].valueAsText
locator = inputlocator.InputLocator(scenario_path)
Qww_flag = parameters[1].value
Qhs_flag = parameters[2].value
Qcs_flag = parameters[3].value
Qcdata_flag = parameters[4].value
Qcrefri_flag = parameters[5].value
Eal_flag = parameters[6].value
Eaux_flag = parameters[7].value
Epro_flag = parameters[8].value
Edata_flag = parameters[9].value
lca_operation(locator=locator,
Qww_flag=Qww_flag,
Qhs_flag=Qhs_flag,
Qcs_flag=Qcs_flag,
Qcdata_flag=Qcdata_flag,
Qcrefri_flag=Qcrefri_flag,
Eal_flag=Eal_flag,
Eaux_flag=Eaux_flag,
Epro_flag=Epro_flag,
Edata_flag=Edata_flag)
def test_lca_embodied():
locator = inputlocator.InputLocator(scenario_path=r'C:\reference-case\baseline')
yearcalc = 2050
lca_embodied(locator=locator, yearcalc=yearcalc, gv=gv)
def test_demand():
locator = inputlocator.InputLocator(
scenario_path=r'C:\reference-case\baseline')
demand_calculation(locator=locator, gv=gv)