updating readme

README.md

@@ -1,13 +1,25 @@
 # monthly_energy_balance_workflow
 
 This tool calculates the monthly energy balance for each building in a given region.
+It provides as results the energy demand and consumption separated in:
+- Heating
+- Cooling
+- Domestic Hot Water
+
+Also, electrical demand of:
+- Lighting
+- Other appliances
+
+And heating and cooling peak loads.
+
+All these results are provided both, monthly a yearly based.
 
 The following assumptions are taken:
 - No building in the region have attics
 - All buildings have basement but those are not heated
-- The construction details come from nrel
+- The construction details come from nrcan
-- The usage details come from comnet
+- The usage details come from nrcan
-- The heated volume is 85% of the total volume, assuming that the rest is occupied by internal walls
+- The system details come from the Montreal Custom catalog
 
 #### Dependencies
  
@@ -18,50 +30,3 @@ You will need to install the following dependencies in your computer in order to
 + Simplified Radiosity Algorithm (mail to: guillermo.gutierrezmorote@concordia.ca)
 
 After installing these tools you should include their paths in Path.
-
- ## installation
- 
- ##### Linux / Mac
- 
- Open a terminal and run the following commands.
- 
-  ```
-$ mkdir monthly_enery_balance_workflow
-$ cd monthly_enery_balance_workflow 
-$ git clone https://binarycat.org/git/PMAU/monthly_enery_balance_workflow.git
-MISSING CONNECTING TO HUB, SIMLPIFIED_RADIOSITY_ALGORITHM AND MONTHLYENERGYBALANCE!!!!!!!!!
-$ python -m pip install -r ../requirements.txt
-  ```
-
- ##### Windows
- 
- Open a terminal and run the following commands.
- 
-  ```
-c:\> mkdir monthly_enery_balance_workflow
-c:\> cd monthly_enery_balance_workflow 
-c:\> git clone https://binarycat.org/git/PMAU/monthly_enery_balance_workflow.git
-MISSING CONNECTING TO HUB, SIMLPIFIED_RADIOSITY_ALGORITHM AND MONTHLYENERGYBALANCE!!!!!!!!!
-c:\> python.exe -m pip install -r ../requirements.txt
-  ```
-  
- 
-
- 
- #### usage
- 
- ##### Linux / Mac
- 
- Open a terminal and run the following command
- 
-  ```
-$ python main.py
-  ```
-
- ##### Windows
- 
- Open a terminal and run the following command.
- 
-  ```
-c:\> python.exe main.py
-  ```

energy_systems_sizing.py

@@ -1,5 +1,5 @@
 """
-EnergySystemsDimensioning enriches the city buildings energy systems
+EnergySystemsSizing enriches the city buildings energy systems
 with the parameters related to the systems dimensioning
 SPDX - License - Identifier: LGPL - 3.0 - or -later
 Copyright © 2023 Concordia CERC group
@@ -15,9 +15,9 @@ from hub.city_model_structure.energy_systems.distribution_system import Distribu
 from hub.city_model_structure.energy_systems.emission_system import EmissionSystem
 
 
-class EnergySystemsDimensioning:
+class EnergySystemsSizing:
   """
-  EnergySystemsDimensioning class
+  EnergySystemsSizing class
   """
   def __init__(self, city):
     self._city = city

main.py

@@ -9,7 +9,7 @@ from hub.imports.energy_systems_factory import EnergySystemsFactory
 from results import Results
 from monthly_energy_balance_engine import MonthlyEnergyBalanceEngine
 from sra_engine import SraEngine
-from energy_systems_dimensioning import EnergySystemsDimensioning
+from energy_systems_sizing import EnergySystemsSizing
 
 
 try:
@@ -42,6 +42,10 @@ try:
   print('enrich constructions... done')
   UsageFactory(usage_format, city).enrich()
   print('enrich usage... done')
+  for building in city.buildings:
+    building.energy_systems_archetype_name = 'system 1 gas'
+  EnergySystemsFactory(energy_systems_format, city).enrich()
+  print('enrich systems... done')
 
   print('exporting:')
   sra_file = (tmp_folder / f'{city.name}_sra.xml').resolve()
@@ -51,10 +55,7 @@ try:
   MonthlyEnergyBalanceEngine(city, tmp_folder)
   print('    insel processed...')
 
-  for building in city.buildings:
+  EnergySystemsSizing(city).enrich()
-    building.energy_systems_archetype_name = 'system 1 gas'
-  EnergySystemsFactory(energy_systems_format, city).enrich()
-  EnergySystemsDimensioning(city).enrich()
   print('    energy systems dimensioning processed...')
 
   results = Results(city, out_path)

results.py

@@ -86,7 +86,6 @@ class Results:
         file += f'storeys: {int(building.eave_height / building.average_storey_height)}\n'
       else:
         file += f'storeys: n/a\n'
-      file += f'heated_volume: {0.85 * building.volume}\n'
       file += f'volume: {building.volume}\n'
 
     full_path_results = Path(self._path / 'demand.csv').resolve()