Added heat pump energy demand and fossil fuel consumption results

hub/city_model_structure/energy_systems/heat_pump.py

@@ -4,6 +4,8 @@ SPDX - License - Identifier: LGPL - 3.0 - or -later
 Copyright © 2022 Concordia CERC group
 Project Coder Peter Yefi peteryefi@gmail.com
 """
+from typing import List
+from pandas.core.series import Series
 
 
 class HeatPump:
@@ -13,6 +15,8 @@ class HeatPump:
 
   def __init__(self):
     self._model = None
+    self._hp_monthly_fossil_consumption = None
+    self._hp_monthly_electricity_demand = None
 
   @property
   def model(self) -> str:
@@ -30,3 +34,31 @@ class HeatPump:
     """
     if self._model is None:
       self._model = value
+
+  @property
+  def hp_monthly_fossil_consumption(self) -> List:
+    """
+    Fossil fuel consumption that results from insel simulation
+    ":return: []
+    :return:
+    """
+    return self._hp_monthly_fossil_consumption
+
+  @hp_monthly_fossil_consumption.setter
+  def hp_monthly_fossil_consumption(self, value):
+    if type(value) is Series:
+      self._hp_monthly_fossil_consumption = value
+
+  @property
+  def hp_monthly_electricity_demand(self) -> List:
+    """
+    Electricity demand that results from insel simulation
+    ":return: []
+    :return:
+    """
+    return self._hp_monthly_electricity_demand
+
+  @hp_monthly_electricity_demand.setter
+  def hp_monthly_electricity_demand(self, value):
+    if type(value) == Series:
+      self._hp_monthly_electricity_demand = value

hub/imports/results/insel_heatpump_energy_demand.py

@@ -0,0 +1,38 @@
+"""
+Insel Heap pump energy demand and fossil fuel consumption
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2023 Concordia CERC group
+Project Coder peter.yefi@gmail.cm
+"""
+
+from pathlib import Path
+import pandas as pd
+
+
+class InselHeatPumpEnergyDemand:
+  """
+  Import Energy demand and fossil fuel consumption results
+  """
+  def __init__(self, city, base_path, hp_model):
+    """
+    :param city: the city
+    :param base_path: the insel simulation output file
+    :param hp_model: the heatpump model for both air source and water to water
+    """
+    self._city = city
+    self._hp_model = hp_model
+    with open(Path(base_path).resolve()) as csv_file:
+      df = pd.read_csv(csv_file)
+    self._monthly_electricity_demand = df.iloc[:, 1]
+    self._monthly_fossil_fuel_consumption = df.iloc[:, 2]
+
+  def enrich(self):
+    for energy_system in self._city.energy_systems:
+      if energy_system.air_source_hp is not None:
+        if energy_system.air_source_hp.model == self._hp_model:
+          energy_system.air_source_hp.hp_monthly_fossil_consumption = self._monthly_fossil_fuel_consumption
+
+      if energy_system.water_to_water_hp is not None:
+        if energy_system.water_to_water_hp.model == self._hp_model:
+          energy_system.water_to_water_hp.hp_monthly_electricity_demand = self._monthly_electricity_demand
+

hub/imports/results_factory.py

@@ -11,13 +11,23 @@ from hub.helpers.utils import validate_import_export_type
 from hub.hub_logger import logger
 from hub.imports.results.simplified_radiosity_algorithm import SimplifiedRadiosityAlgorithm
 from hub.imports.results.insel_monthly_energry_balance import InselMonthlyEnergyBalance
+from hub.imports.results.insel_heatpump_energy_demand import InselHeatPumpEnergyDemand
 
 
 class ResultFactory:
   """
-  UsageFactory class
+  ResultFactory class
   """
-  def __init__(self, handler, city, base_path=None):
+
+  def __init__(self, handler, city, base_path=None, hp_model=None):
+    """
+
+    :param handler: pointer to results class to be called
+    :param city: the city object
+    :param base_path: the path to result output file
+    :param hp_model: (optional) the heat pump model for which
+    results are being retrieved
+    """
     if base_path is None:
       base_path = Path(Path(__file__).parent.parent / 'data/results')
     self._handler = '_' + handler.lower().replace(' ', '_')
@@ -28,6 +38,7 @@ class ResultFactory:
       raise Exception(err_msg)
     self._city = city
     self._base_path = base_path
+    self._hp_model = hp_model
 
   def _sra(self):
     """
@@ -35,6 +46,13 @@ class ResultFactory:
     """
     SimplifiedRadiosityAlgorithm(self._city, self._base_path).enrich()
 
+  def _heat_pump(self):
+    """
+    Enrich the city (energy system specifically) with heat pump insel simulation
+    results
+    """
+    InselHeatPumpEnergyDemand(self._city, self._base_path, self._hp_model).enrich()
+
   def _insel_meb(self):
     """
     Enrich the city with insel monthly energy balance results

hub/unittests/test_heat_pump_results.py

@@ -0,0 +1,74 @@
+"""
+Test EnergySystemsFactory and various heatpump models
+SPDX - License - Identifier: LGPL - 3.0 - or -later
+Copyright © 2023 Concordia CERC group
+Project Coder Peter Yefi peteryefi@gmail.com
+"""
+from unittest import TestCase
+from hub.imports.geometry_factory import GeometryFactory
+from hub.imports.energy_systems_factory import EnergySystemsFactory
+from hub.exports.energy_systems_factory import EnergySystemsExportFactory
+from hub.imports.results_factory import ResultFactory
+import os
+from pandas.core.series import Series
+
+# User defined paramenters
+user_input = {
+  'StartYear': 2020,
+  'EndYear': 2021,
+  'MaximumHPEnergyInput': 8000,
+  'HoursOfStorageAtMaxDemand': 1,
+  'BuildingSuppTemp': 40,
+  'TemperatureDifference': 15,
+  'FuelLHV': 47100,
+  'FuelPrice': 0.12,
+  'FuelEF': 1887,
+  'FuelDensity': 0.717,
+  'HPSupTemp': 60
+}
+
+
+class TestHeatPumpResults(TestCase):
+  """
+  TestHeatPumpResults
+  """
+
+  def setUp(self) -> None:
+    """
+    Test setup
+    :return: None
+    """
+    city_file = "tests_data/C40_Final.gml"
+    self._output_path = "tests_data/as_user_output.csv"
+    self._city = GeometryFactory('citygml', path=city_file).city
+    EnergySystemsFactory('air source hp', self._city).enrich()
+
+  def test_air_source_series_heat_pump_012_results(self):
+    EnergySystemsExportFactory(city=self._city, user_input=user_input, hp_model='012',
+                               output_path=self._output_path).export()
+    ResultFactory('heat pump', self._city, self._output_path, '012').enrich()
+
+    for energy_system in self._city.energy_systems:
+      self.assertIsNone(energy_system.water_to_water_hp)
+      if energy_system.air_source_hp.model == '012':
+        self.assertIsInstance(energy_system.air_source_hp.hp_monthly_fossil_consumption, Series)
+        self.assertEqual(energy_system.air_source_hp.hp_monthly_fossil_consumption.iloc[5], 1.51325583)
+        self.assertEqual(energy_system.air_source_hp.hp_monthly_fossil_consumption.iloc[12], 35.853598782915)
+
+  def test_air_source_series_heat_pump_015_results(self):
+    EnergySystemsExportFactory(city=self._city, user_input=user_input, hp_model='140',
+                               output_path=self._output_path).export()
+    ResultFactory('heat pump', self._city, self._output_path, '140').enrich()
+
+    for energy_system in self._city.energy_systems:
+      self.assertIsNone(energy_system.water_to_water_hp)
+      if energy_system.air_source_hp.model == '140':
+        self.assertIsInstance(energy_system.air_source_hp.hp_monthly_fossil_consumption, Series)
+        self.assertEqual(energy_system.air_source_hp.hp_monthly_fossil_consumption.iloc[0], 7.91282225)
+        self.assertEqual(energy_system.air_source_hp.hp_monthly_fossil_consumption.iloc[2], 0.068873927)
+
+  def tearDown(self) -> None:
+    try:
+      os.remove(self._output_path)
+    except OSError:
+      pass