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Adusted export to handle parallel simulations for both air source and water to water HPs

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This commit is contained in:
Peter Yefi 2022-08-16 13:48:16 -04:00
parent e356dd9a89
commit 32476c617b
1 changed files with 29 additions and 11 deletions
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40
exports/energy_systems/heat_pump_export.py
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@ -72,17 +72,33 @@ class HeatPumpExport:
Write headers to the various csv file generated by insel Write headers to the various csv file generated by insel
:return: :return:
""" """
header = [
'Year', ' Month', ' Day', 'Hour', 'Minute', 'HP Heat Output (kW)', 'Heating Demand (kW)', 'HP output flow rate',
'Building Required Flow Rate', 'TES Charging Rate (kg/s)', 'Water Flow Rate After Splitter',
'water temperature after splitter', 'TES Discharging Rate (kg/s)', 'TES discharge temperature',
'Mixer Outlet Flow Rate (kg/s)', 'Mixer outlet temperature', 'Auxiliary heater fuel flow rate',
'Auxiliary heater energy input (kW)', 'Building Inlet Flow Rate (kg/s)', 'Building inlet temperature',
'Building return temperature', 'TES Return Flow Rate (kg/s)', 'TES return temperature',
'TES Bypass Line Flow Rate (kg/s)', 'TES bypass line temperature', 'Flow Rate from TES to mixer 2 (kg/s)',
'Temperature from Tes to mixer', 'HP Inlet Flow Rate (kg/s)', 'HP Inlet temperature', 'TES Node 1 Temperature',
'TES Node 2 Temperature', 'TES Node 3 Temperature', 'TES Node 4 Temperature', 'TES Energy Content (J)',
'HP Electricity Consumption (kW)', 'HP COP', 'Ambient Temperature', 'HP Operational Cost (CAD)',
'Auxiliary Heater Operational Cost (CAD)', 'Operational CO2 Emissions of HP (g)',
'Operational CO2 Emissions of Auxiliary Heater (g)']
if 'series' in str(self._template_path):
header = [
'Year', ' Month', ' Day', 'Hour', 'Minute', 'HP Heat Output (kW)',
'HP Electricity Consumption (kW)', 'HP COP', 'TES Charging Rate (kg/s)',
'TES Discharging Rate (kg/s)', 'TES Node 1 Temperature', 'TES Node 2 Temperature',
'TES Node 3 Temperature', 'TES Node 4 Temperature', 'TES Energy Content (J)',
'TES Energy Content (kWh)', 'TES Energy Content Variation (kWh)',
'Auxiliary Heater Fuel Flow Rate (kg/s)', 'Auxiliary Heater Energy Input (kW)',
'HP Operational Cost (CAD)', 'Auxiliary Heater Operational Cost (CAD)',
'Operational CO2 Emissions of HP (g)',
'Operational CO2 Emissions of Auxiliary Heater (g)',
'Return Temperature', 'Demand (kW)']
header_data = { header_data = {
self._input_data['fileOut1']: ['Year', ' Month', ' Day', 'Hour', 'Minute', 'HP Heat Output (kW)', self._input_data['fileOut1']: header,
'HP Electricity Consumption (kW)', 'HP COP', 'TES Charging Rate (kg/s)',
'TES Discharging Rate (kg/s)', 'TES Node 1 Temperature', 'TES Node 2 Temperature',
'TES Node 3 Temperature', 'TES Node 4 Temperature', 'TES Energy Content (J)',
'TES Energy Content (kWh)', 'TES Energy Content Variation (kWh)',
'Auxiliary Heater Fuel Flow Rate (kg/s)', 'Auxiliary Heater Energy Input (kW)',
'HP Operational Cost (CAD)', 'Auxiliary Heater Operational Cost (CAD)',
'Operational CO2 Emissions of HP (g)',
'Operational CO2 Emissions of Auxiliary Heater (g)',
'Return Temperature', 'Demand (kW)'],
self._input_data['fileOut2']: ['Day', 'Operational Daily Emissions from Heat Pumps (g)', self._input_data['fileOut2']: ['Day', 'Operational Daily Emissions from Heat Pumps (g)',
'Operational Daily Emissions from Auxiliary Heater (g)'], 'Operational Daily Emissions from Auxiliary Heater (g)'],
self._input_data['fileOut3']: ['Month', 'Monthly Operational Costs of Heat Pumps (CAD)', self._input_data['fileOut3']: ['Month', 'Monthly Operational Costs of Heat Pumps (CAD)',
@ -102,7 +118,7 @@ class HeatPumpExport:
file_path = file_path.strip("'") file_path = file_path.strip("'")
df = pd.read_csv(file_path, header=None, sep='\s+') df = pd.read_csv(file_path, header=None, sep='\s+')
# ignore ambient temperature for air source series run # ignore ambient temperature for air source series run
if df.shape[1] > 25: if df.shape[1] > 25 and 'series' in str(self._template_path):
df.drop(columns=df.columns[-1], df.drop(columns=df.columns[-1],
axis=1, axis=1,
inplace=True) inplace=True)
@ -161,6 +177,8 @@ class HeatPumpExport:
with open(self._constants_path) as file: with open(self._constants_path) as file:
constants_dict = yaml.load(file, Loader=yaml.FullLoader) constants_dict = yaml.load(file, Loader=yaml.FullLoader)
for key, value in constants_dict.items(): for key, value in constants_dict.items():
if key in ['LowestPossibleLoadFlow', 'HighestPossibleLoadFlow'] and self._water_temp is None:
continue
self._input_data[key] = value self._input_data[key] = value
# compute water to water HP specific values # compute water to water HP specific values
if 55 <= self._input_data['HPSupTemp'] <= 60: if 55 <= self._input_data['HPSupTemp'] <= 60: