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Merge branch 'cleaning_simulation_models'

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Saeed Ranjbar 2024-08-28 10:35:42 -04:00
commit 1906862517
5 changed files with 10 additions and 1585214 deletions
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2
energy_system_modelling_package/energy_system_modelling_factories/hvac_dhw_systems_simulation_models/domestic_hot_water_heat_pump_with_tes.py
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@ -71,7 +71,7 @@ class DomesticHotWaterHeatPumpTes:
hp_electricity[i] = 0
t_tank[i + 1] = t_tank[i] + (delta_t_hp - delta_t_freshwater - delta_t_demand + delta_t_coil)
total_consumption[i] = q_hp[i] + q_coil[i]
total_consumption[i] = hp_electricity[i] + q_coil[i]
tes.temperature = []
hp_electricity_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in hp_electricity]
heating_coil_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in q_coil]

6
energy_system_modelling_package/energy_system_modelling_factories/hvac_dhw_systems_simulation_models/heat_pump_boiler_tes_heating.py
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@ -74,8 +74,8 @@ class HeatPumpBoilerTesHeating:
hp_cop[i + 1] = self.hp_characteristics.air_to_water_cop(source_temperature[i + 1], t_tank[i + 1], mode=cte.HEATING)
hp_electricity[i + 1] = q_hp[i + 1] / hp_cop[i + 1]
else:
hp_cop[i] = 0
hp_electricity[i] = 0
hp_cop[i + 1] = 0
hp_electricity[i + 1] = 0
# boiler operation
if q_hp[i + 1] > 0:
if t_sup_hp[i + 1] < 45:
@ -105,7 +105,7 @@ class HeatPumpBoilerTesHeating:
m_dis[i + 1] = self.heating_peak_load / (cte.WATER_HEAT_CAPACITY * factor)
t_ret[i + 1] = t_tank[i + 1] - demand[i + 1] / (m_dis[i + 1] * cte.WATER_HEAT_CAPACITY)
# total consumption
total_consumption[i + 1] = q_hp[i + 1] + q_boiler[i + 1] + q_coil[i + 1]
total_consumption[i + 1] = hp_electricity[i + 1] + boiler_energy_consumption[i + 1] + q_coil[i + 1]
tes.temperature = []
hp_electricity_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in hp_electricity]
boiler_consumption_j = [(x * cte.WATTS_HOUR_TO_JULES) / number_of_ts for x in boiler_energy_consumption]

12
energy_system_modelling_package/energy_system_modelling_factories/hvac_dhw_systems_simulation_models/heat_pump_characteristics.py
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@ -43,12 +43,12 @@ class HeatPump:
else:
if self.hp.heat_efficiency_curve is not None:
cop_curve_coefficients = [float(coefficient) for coefficient in self.hp.heat_efficiency_curve.coefficients]
cop_coefficient = (1 / (cop_curve_coefficients[0] +
cop_curve_coefficients[1] * inlet_water_temperature +
cop_curve_coefficients[2] * inlet_water_temperature ** 2 +
cop_curve_coefficients[3] * source_temperature +
cop_curve_coefficients[4] * source_temperature ** 2 +
cop_curve_coefficients[5] * inlet_water_temperature * source_temperature))
cop_coefficient = (cop_curve_coefficients[0] +
cop_curve_coefficients[1] * source_temperature +
cop_curve_coefficients[2] * source_temperature ** 2 +
cop_curve_coefficients[3] * inlet_water_temperature +
cop_curve_coefficients[4] * inlet_water_temperature ** 2 +
cop_curve_coefficients[5] * inlet_water_temperature * source_temperature)
hp_efficiency = float(self.hp.heat_efficiency)
hp_cop = cop_coefficient * hp_efficiency
return hp_cop

191
input_files/pipe_data.json
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@ -1,191 +0,0 @@
[
{
"DN": 16,
"inner_diameter": 16.1,
"outer_diameter": 21.3,
"thickness": 2.6,
"cost_per_meter": 320
},
{
"DN": 20,
"inner_diameter": 21.7,
"outer_diameter": 26.9,
"thickness": 2.6,
"cost_per_meter": 320
},
{
"DN": 25,
"inner_diameter": 27.3,
"outer_diameter": 33.7,
"thickness": 3.2,
"cost_per_meter": 320
},
{
"DN": 32,
"inner_diameter": 37.2,
"outer_diameter": 42.4,
"thickness": 2.6,
"cost_per_meter": 350
},
{
"DN": 40,
"inner_diameter": 43.1,
"outer_diameter": 48.3,
"thickness": 2.6,
"cost_per_meter": 375
},
{
"DN": 50,
"inner_diameter": 54.5,
"outer_diameter": 60.3,
"thickness": 2.9,
"cost_per_meter": 400
},
{
"DN": 65,
"inner_diameter": 70.3,
"outer_diameter": 76.1,
"thickness": 2.9,
"cost_per_meter": 450
},
{
"DN": 80,
"inner_diameter": 82.5,
"outer_diameter": 88.9,
"thickness": 3.2,
"cost_per_meter": 480
},
{
"DN": 90,
"inner_diameter": 100.8,
"outer_diameter": 108,
"thickness": 3.6,
"cost_per_meter": 480
},
{
"DN": 100,
"inner_diameter": 107.1,
"outer_diameter": 114.3,
"thickness": 3.6,
"cost_per_meter": 550
},
{
"DN": 110,
"inner_diameter": 125.8,
"outer_diameter": 133,
"thickness": 3.6,
"cost_per_meter": 550
},
{
"DN": 125,
"inner_diameter": 132.5,
"outer_diameter": 139.7,
"thickness": 3.6,
"cost_per_meter": 630
},
{
"DN": 140,
"inner_diameter": 151,
"outer_diameter": 159,
"thickness": 4,
"cost_per_meter": 700
},
{
"DN": 150,
"inner_diameter": 160.3,
"outer_diameter": 168.3,
"thickness": 4,
"cost_per_meter": 700
},
{
"DN": 180,
"inner_diameter": 184.7,
"outer_diameter": 193.7,
"thickness": 4.5,
"cost_per_meter": 700
},
{
"DN": 200,
"inner_diameter": 210.1,
"outer_diameter": 219.1,
"thickness": 4.5,
"cost_per_meter": 860
},
{
"DN": 250,
"inner_diameter": 263,
"outer_diameter": 273,
"thickness": 5,
"cost_per_meter": 860
},
{
"DN": 300,
"inner_diameter": 312.7,
"outer_diameter": 323.9,
"thickness": 5.6,
"cost_per_meter": 860
},
{
"DN": 350,
"inner_diameter": 344.4,
"outer_diameter": 355.6,
"thickness": 5.6,
"cost_per_meter": 860
},
{
"DN": 400,
"inner_diameter": 393.8,
"outer_diameter": 406.4,
"thickness": 6.3,
"cost_per_meter": 860
},
{
"DN": 450,
"inner_diameter": 444.4,
"outer_diameter": 457,
"thickness": 6.3,
"cost_per_meter": 860
},
{
"DN": 500,
"inner_diameter": 495.4,
"outer_diameter": 508,
"thickness": 6.3,
"cost_per_meter": 860
},
{
"DN": 600,
"inner_diameter": 595.8,
"outer_diameter": 610,
"thickness": 7.1,
"cost_per_meter": 860
},
{
"DN": 700,
"inner_diameter": 696.8,
"outer_diameter": 711,
"thickness": 7.1,
"cost_per_meter": 860
},
{
"DN": 800,
"inner_diameter": 797,
"outer_diameter": 813,
"thickness": 8,
"cost_per_meter": 860
},
{
"DN": 900,
"inner_diameter": 894,
"outer_diameter": 914,
"thickness": 10,
"cost_per_meter": 860
},
{
"DN": 1000,
"inner_diameter": 996,
"outer_diameter": 1016,
"thickness": 10,
"cost_per_meter": 860
}
]

1585013
input_files/roads.json
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