.gitignore

@@ -1,3 +1 @@
 .idea
-cerc_costs.egg-info
-dist

cerc_costs.egg-info/PKG-INFO

@@ -0,0 +1,9 @@
+Metadata-Version: 2.1
+Name: cerc-costs
+Version: 0.1.0.2
+Summary: CERC costs contains the basic cost calculation per CERC-Hub building
+Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+
+CERC costs contains the basic cost calculation per CERC-Hub building

cerc_costs.egg-info/SOURCES.txt

@@ -0,0 +1,22 @@
+README.md
+pyproject.toml
+requirements.txt
+setup.py
+cerc_costs.egg-info/PKG-INFO
+cerc_costs.egg-info/SOURCES.txt
+cerc_costs.egg-info/dependency_links.txt
+cerc_costs.egg-info/requires.txt
+cerc_costs.egg-info/top_level.txt
+costs/__init__.py
+costs/__main__.py
+costs/capital_costs.py
+costs/configuration.py
+costs/constants.py
+costs/cost.py
+costs/cost_base.py
+costs/end_of_life_costs.py
+costs/peak_load.py
+costs/total_maintenance_costs.py
+costs/total_operational_costs.py
+costs/total_operational_incomes.py
+costs/version.py

cerc_costs.egg-info/dependency_links.txt

@@ -0,0 +1 @@
+

cerc_costs.egg-info/requires.txt

@@ -0,0 +1,4 @@
+numpy_financial
+cerc_hub
+pandas
+setuptools

cerc_costs.egg-info/top_level.txt

@@ -0,0 +1 @@
+costs

costs/capital_costs.py

@@ -39,9 +39,9 @@ class CapitalCosts(CostBase):
       dtype='float'
     )
     self._yearly_capital_costs.loc[0, 'B2010_opaque_walls'] = 0
-    self._yearly_capital_costs.loc[0, 'B2020_transparent'] = 0
+    self._yearly_capital_costs.loc[0]['B2020_transparent'] = 0
     self._yearly_capital_costs.loc[0, 'B3010_opaque_roof'] = 0
-    self._yearly_capital_costs.loc[0, 'B10_superstructure'] = 0
+    self._yearly_capital_costs.loc[0]['B10_superstructure'] = 0
     self._yearly_capital_costs.loc[0, 'D3020_heat_generating_systems'] = 0
     self._yearly_capital_costs.loc[0, 'D3030_cooling_generation_systems'] = 0
     self._yearly_capital_costs.loc[0, 'D3040_distribution_systems'] = 0
@@ -107,9 +107,9 @@ class CapitalCosts(CostBase):
       capital_cost_roof = surface_roof * chapter.item('B3010_opaque_roof').refurbishment[0]
       capital_cost_ground = surface_ground * chapter.item('B10_superstructure').refurbishment[0]
       self._yearly_capital_costs.loc[0, 'B2010_opaque_walls'] = capital_cost_opaque * own_capital
-      self._yearly_capital_costs.loc[0, 'B2020_transparent'] = capital_cost_transparent * own_capital
+      self._yearly_capital_costs.loc[0]['B2020_transparent'] = capital_cost_transparent * own_capital
       self._yearly_capital_costs.loc[0, 'B3010_opaque_roof'] = capital_cost_roof * own_capital
-      self._yearly_capital_costs.loc[0, 'B10_superstructure'] = capital_cost_ground * own_capital
+      self._yearly_capital_costs.loc[0]['B10_superstructure'] = capital_cost_ground * own_capital
 
     if self._configuration.retrofit_scenario in (SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
       chapter = self._capital_costs_chapter.chapter('D_services')
@@ -119,7 +119,7 @@ class CapitalCosts(CostBase):
       capital_cost_distribution_equipment = peak_cooling * chapter.item('D3040_distribution_systems').initial_investment[0]
       capital_cost_other_hvac_ahu = peak_cooling * chapter.item('D3080_other_hvac_ahu').initial_investment[0]
       capital_cost_lighting = self._total_floor_area * chapter.item('D5020_lighting_and_branch_wiring').initial_investment[0]
-      self._yearly_capital_costs.loc[0, 'D301010_photovoltaic_system'] = capital_cost_pv
+      self._yearly_capital_costs.loc[0]['D301010_photovoltaic_system'] = capital_cost_pv
       self._yearly_capital_costs.loc[0, 'D3020_heat_generating_systems'] = capital_cost_heating_equipment * own_capital
       self._yearly_capital_costs.loc[0, 'D3030_cooling_generation_systems'] = capital_cost_cooling_equipment * own_capital
       self._yearly_capital_costs.loc[0, 'D3040_distribution_systems'] = capital_cost_distribution_equipment * own_capital
@@ -219,7 +219,7 @@ class CapitalCosts(CostBase):
 
       if self._configuration.retrofit_scenario in (SYSTEM_RETROFIT_AND_PV, SKIN_RETROFIT_AND_SYSTEM_RETROFIT_AND_PV):
         if (year % chapter.item('D301010_photovoltaic_system').lifetime) == 0:
-          self._yearly_capital_costs.loc[year, 'D301010_photovoltaic_system'] += (
+          self._yearly_capital_costs.loc[year]['D301010_photovoltaic_system'] += (
               surface_pv * chapter.item('D301010_photovoltaic_system').reposition[0] * costs_increase
           )
     capital_cost_skin = capital_cost_opaque + capital_cost_ground + capital_cost_transparent + capital_cost_roof

costs/total_operational_costs.py

@@ -54,7 +54,7 @@ class TotalOperationalCosts(CostBase):
       fixed_gas_cost_year_0 = archetype.operational_cost.fuels[1].fixed_monthly * 12 * factor_residential
       variable_gas_cost_year_0 = (
           (building.heating_consumption[cte.YEAR][0] + building.domestic_hot_water_consumption[cte.YEAR][0])
-          / (1000 * cte.WATTS_HOUR_TO_JULES) * archetype.operational_cost.fuels[1].variable[0]
+          / 1000 * cte.WATTS_HOUR_TO_JULES * archetype.operational_cost.fuels[1].variable[0]
       )
     if self._configuration.fuel_type == 0:
       electricity_heating = building.heating_consumption[cte.YEAR][0] / 1000
@@ -73,9 +73,8 @@ class TotalOperationalCosts(CostBase):
     peak_electricity_load = PeakLoad(building).electricity_peak_load
     peak_load_value = peak_electricity_load.max(axis=1)
     peak_electricity_demand = peak_load_value[1] / 1000  # self._peak_electricity_demand adapted to kW
-    variable_electricity_cost_year_0 = (
+    variable_electricity_cost_year_0 = \
-      total_electricity_consumption / cte.WATTS_HOUR_TO_JULES * archetype.operational_cost.fuels[0].variable[0]
+      total_electricity_consumption * cte.WATTS_HOUR_TO_JULES * archetype.operational_cost.fuels[0].variable[0]
-    )
     peak_electricity_cost_year_0 = peak_electricity_demand * archetype.operational_cost.fuels[0].fixed_power * 12
     monthly_electricity_cost_year_0 = archetype.operational_cost.fuels[0].fixed_monthly * 12 * factor_residential
 

costs/total_operational_incomes.py

@@ -28,16 +28,15 @@ class TotalOperationalIncomes(CostBase):
     :return: pd.DataFrame
     """
     building = self._building
-    archetype = self._archetype
     if cte.YEAR not in building.onsite_electrical_production:
       onsite_electricity_production = 0
     else:
-      onsite_electricity_production = building.onsite_electrical_production[cte.YEAR][0]
+      onsite_electricity_production = building.onsite_electrical_production[cte.YEAR][0] / 1000
 
     for year in range(1, self._configuration.number_of_years + 1):
       price_increase_electricity = math.pow(1 + self._configuration.electricity_price_index, year)
       # todo: check the adequate assignation of price. Pilar
-      price_export = archetype.income.electricity_export * cte.WATTS_HOUR_TO_JULES * 1000  # to account for unit change
+      price_export = 0.075  # archetype.income.electricity_export
       self._yearly_operational_incomes.loc[year, 'Incomes electricity'] = (
           onsite_electricity_production * price_export * price_increase_electricity
       )

costs/version.py

@@ -5,4 +5,4 @@ Copyright © 2023 Project Coder Guille Gutierrez guillermo.gutierrezmorote@conco
 Code contributor Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
 Code contributor Oriol Gavalda Torrellas oriol.gavalda@concordia.ca
 """
-__version__ = '0.1.0.6'
+__version__ = '0.1.0.4'

input_files/selected_building_2864.geojson

@@ -0,0 +1,121 @@
+{
+    "type": "FeatureCollection",
+    "features": [
+        {
+            "type": "Feature",
+            "id": 2864,
+            "geometry": {
+                "type": "Polygon",
+                "coordinates": [
+                    [
+                        [
+                            -73.55628837310991,
+                            45.60732526295055
+                        ],
+                        [
+                            -73.55628287285629,
+                            45.607324262904456
+                        ],
+                        [
+                            -73.55609247288925,
+                            45.607288563416546
+                        ],
+                        [
+                            -73.55607107262188,
+                            45.60734486277528
+                        ],
+                        [
+                            -73.55612487276466,
+                            45.60735496306114
+                        ],
+                        [
+                            -73.55609867281544,
+                            45.60742366317157
+                        ],
+                        [
+                            -73.55624087271804,
+                            45.60745026331904
+                        ],
+                        [
+                            -73.55628837310991,
+                            45.60732526295055
+                        ]
+                    ]
+                ]
+            },
+            "properties": {
+                "OBJECTID_12_13": 2864,
+                "ID_UEV": "02033771",
+                "CIVIQUE_DE": " 8212",
+                "CIVIQUE_FI": " 8212",
+                "NOM_RUE": "avenue Peterborough  (ANJ)",
+                "SUITE_DEBU": " ",
+                "MUNICIPALI": "50",
+                "ETAGE_HORS": 1,
+                "NOMBRE_LOG": 1,
+                "ANNEE_CONS": 1960,
+                "CODE_UTILI": "1000",
+                "LETTRE_DEB": " ",
+                "LETTRE_FIN": " ",
+                "LIBELLE_UT": "Logement",
+                "CATEGORIE_": "R\u00c3\u00a9gulier",
+                "MATRICULE8": "0051-49-2041-2-000-0000",
+                "SUPERFICIE": 450,
+                "SUPERFIC_1": 176,
+                "NO_ARROND_": "REM09",
+                "Shape_Leng": 0.000666191644361,
+                "OBJECTID": 2864,
+                "Join_Count": 1,
+                "TARGET_FID": 2864,
+                "feature_id": "bdd1f0fe-89de-46d2-80dc-87d3636df60a",
+                "md_id": " ",
+                "acqtech": 1360,
+                "acqtech_en": "Lidar",
+                "acqtech_fr": "Lidar",
+                "provider": 461,
+                "provideren": "Municipal",
+                "providerfr": "Municipal",
+                "datemin": "20151124",
+                "datemax": "20151208",
+                "haccmin": 2,
+                "haccmax": 2,
+                "vaccmin": 1,
+                "vaccmax": 1,
+                "heightmin": 1.17,
+                "heightmax": 7.5,
+                "elevmin": 45.48,
+                "elevmax": 45.96,
+                "bldgarea": 193.18,
+                "comment": " ",
+                "OBJECTID_1": 2864,
+                "Shape_Le_1": 0.000666191644361,
+                "Shape_Ar_1": 2.22753099997e-08,
+                "OBJECTID_12": 2864,
+                "Join_Count_1": 1,
+                "TARGET_FID_1": 2863,
+                "g_objectid": "897744",
+                "g_co_mrc": "66023",
+                "g_code_mun": "66023",
+                "g_arrond": "REM09",
+                "g_anrole": "2019",
+                "g_usag_pre": "R\u00c3\u00a9sidentiel",
+                "g_no_lot": "1113400",
+                "g_nb_poly_": "1",
+                "g_utilisat": "1000",
+                "g_nb_logem": "1",
+                "g_nb_locau": " ",
+                "g_descript": "Unit\u00c3\u00a9 d'\u00c3\u00a9valuation",
+                "g_id_provi": "66023005149204120000000",
+                "g_sup_tota": "450.1",
+                "g_geometry": "0.000958907",
+                "g_geomet_1": "5.20226e-008",
+                "g_dat_acqu": "2020-02-12 00:00:00.0000000",
+                "g_dat_char": "2020-02-17 00:00:00.0000000",
+                "Shape_Leng_1": 0.000666191644361,
+                "Shape_Area_1": 2.22753099997e-08,
+                "Shape_Length": 0.0006661919640545334,
+                "Shape_Area": 2.22753099997e-08
+            }
+        }
+    ]
+}