Implemented enriching city with energy systems

city_model_structure/energy_system.py

@@ -2,6 +2,7 @@
 EnergySystem module
 SPDX - License - Identifier: LGPL - 3.0 - or -later
 Copyright © 2020 Project Author Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
+Contributor Peter Yefi peteryefi@gmail.com
 """
 
 from city_model_structure.city_object import CityObject
@@ -16,7 +17,29 @@ class EnergySystem(CityObject):
     def __init__(self, name, lod, surfaces, city_lower_corner):
         super().__init__(name, lod, surfaces, city_lower_corner)
         self._heat_pump = None
+        self._type = 'energy_system'
 
     @property
     def heat_pump(self) -> HeatPump:
+        """
+        Heat pump energy system
+        :return:
+        """
         return self._heat_pump
+
+    @heat_pump.setter
+    def heat_pump(self, value):
+        """
+        Set heat pumm for energy system
+        :param value: HeatPump
+        """
+        if self._heat_pump is None:
+            self._heat_pump = value
+
+    @property
+    def type(self) -> str:
+        """
+        Type of city object
+        :return: str
+        """
+        return self._type

imports/energy_systems/xlsx_heat_pump_parameters.py

@@ -7,6 +7,9 @@ Contributor Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
 
 import pandas as pd
 from typing import Dict
+from typing import List
+from city_model_structure.energy_systems.heat_pump import HeatPump
+from city_model_structure.energy_system import EnergySystem
 
 
 class XlsxHeatPumpParameters:
@@ -49,7 +52,7 @@ class XlsxHeatPumpParameters:
             # temp is the key for the values of pf,pa,qw data
             while i < 25:
                 cooling_data[sheet][cooling_df.iloc[i][0]] = cooling_df.iloc[i + 1:i + 4, 2:8].values.tolist()
-                heating_data[sheet][heating_df.iloc[i][0]] = cooling_df.iloc[i + 1:i + 4, 2:8].values.tolist()
+                heating_data[sheet][heating_df.iloc[i][0]] = heating_df.iloc[i + 1:i + 4, 2:8].values.tolist()
                 i = i + 5
             # extract the last cooling data
             cooling_data[sheet][cooling_df.iloc[i][0]] = cooling_df.iloc[i + 1:i + 4, 2:8]
@@ -59,4 +62,38 @@ class XlsxHeatPumpParameters:
         """
     Enriches the city with information from file
     """
+        heap_pump_data = self._read_file()
+        for (k_cool, v_cool), (k_heat, v_heat) in \
+                zip(heap_pump_data["cooling"].items(), heap_pump_data["heating"].items()):
+            heat_pump = HeatPump()
+            heat_pump.model = k_cool
+            h_data = self._extract_heat_pump_data(v_heat)
+            c_data = self._extract_heat_pump_data(v_cool)
+            heat_pump.cooling_pf = c_data[0]
+            heat_pump.cooling_pa = c_data[1]
+            heat_pump.cooling_qw = c_data[2]
+            heat_pump.heating_pf = h_data[0]
+            heat_pump.heating_pa = h_data[1]
+            heat_pump.heating_qw = h_data[2]
+            energy_system = EnergySystem('{} capacity heat pump'.format(heat_pump.model), 0, [], None)
+            energy_system.heat_pump = heat_pump
+            self._city.add_city_object(energy_system)
         return self._city
+
+    def _extract_heat_pump_data(self, heat_pump_capacity_data) -> [List, List, List]:
+        """
+        Fetches a list of metric based data for heat pump for various temperature,
+         eg. cooling capacity data for 12 capacity heat pump
+         for 6,7,8,9,10 and 11 degree celsius
+        :param heat_pump_capacity_data: the heat pump capacity data from the
+        which the metric specific data is fetched: {List}
+        :return: List
+        """
+        pf_data = []
+        pa_data = []
+        qw_data = []
+        for _, metric_data in heat_pump_capacity_data.items():
+            pf_data.append(metric_data[0])
+            pa_data.append(metric_data[1])
+            qw_data.append(metric_data[2])
+        return [pf_data, pa_data, qw_data]