Retrofit Factory

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Mohamed_Osman 2024-10-28 11:29:21 -04:00 committed by s_ranjbar
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RetrofitFactory Documentation
Overview
RetrofitFactory is a tool designed to apply energy efficiency retrofits to buildings within a city model. It supports multiple retrofit types, including construction improvements, infiltration reduction, and window upgrades.
Usage
Basic Implementation
```python
from hub.imports.retrofit_factory import RetrofitFactory
# Load retrofit data from JSON file
with open('retrofit_scenarios.json', 'r') as f:
retrofit_data = json.load(f)
# Apply retrofits to a city
retrofit_factory = RetrofitFactory(retrofit_data, city)
retrofit_factory.enrich()
```
Retrofit Data Structure
The retrofit data is stored as a JSON object where building IDs serve as keys and retrofit specifications as values:
```json
{
"building_id": {
"retrofit_types": ["construction", "infiltration", "windows"],
"wall_u_value": 0.3,
"roof_u_value": 0.2,
"ground_u_value": 0.25,
"infiltration_reduction": 30,
"window_u_value": 1.5,
"window_g_value": 0.6
}
}
```
Supported Retrofit Types
RetrofitFactory supports the following types of retrofits:
1. Construction Retrofits
Modifies U-values for walls, roofs, and ground surfaces, but only if the new U-value is lower than the existing one. The retrofit improves thermal resistance of building materials.
Parameters:
- wall_u_value: Target U-value for walls (W/m²K)
- roof_u_value: Target U-value for roofs (W/m²K)
- ground_u_value: Target U-value for ground surfaces (W/m²K)
2. Infiltration Retrofits
Reduces air infiltration rate as a percentage, applied to the ventilation system when off.
Parameters:
- infiltration_reduction: Percentage reduction in infiltration rate (0-100)
3. Window Retrofits
Updates window thermal properties by modifying the U-value and solar heat gain coefficient (g-value).
Parameters:
- window_u_value: Target U-value for windows (W/m²K)
- window_g_value: Target solar heat gain coefficient (0-1)
Implementation Details
Class Structure
```python
class RetrofitFactory:
def __init__(self, retrofit_data: dict, city: City):
self._retrofit_data = retrofit_data
self._city = city
```
Main Methods
1. enrich()
Applies retrofits to all buildings in the city. It iterates over each building, retrieves its corresponding retrofit data, and applies the specified retrofits.
```python
def enrich(self):
for building in self._city.buildings:
building_id = str(building.name)
if building_id in self._retrofit_data:
building_retrofit_data = self._retrofit_data[building_id]
retrofit_types = building_retrofit_data.get('retrofit_types', [])
self._apply_retrofits_to_building(building, retrofit_types, building_retrofit_data)
```
2. _apply_retrofits_to_building()
Handles applying the specified retrofits to an individual building based on its retrofit data.
3. _apply_construction_retrofit_to_building()
Applies construction retrofits by modifying U-values for walls, roofs, and ground surfaces. Only updates if the new U-value is lower than the existing value.
```python
def _apply_construction_retrofit_to_building(self, building: Building, retrofit_params):
wall_u_value = retrofit_params.get('wall_u_value')
roof_u_value = retrofit_params.get('roof_u_value')
ground_u_value = retrofit_params.get('ground_u_value')
```
Thermal resistance is calculated as:
ΔR = (1 / U_new) - (1 / U_old)
```python
def _change_thermal_resistance(self, thermal_boundary, new_u_value):
old_u_value = thermal_boundary.u_value
if new_u_value < old_u_value:
delta_r = (1 / new_u_value) - (1 / old_u_value)
```
4. _reduce_infiltration_rate_by_percentage()
Reduces the infiltration rate by the specified percentage.
```python
def _reduce_infiltration_rate_by_percentage(self, building: Building, retrofit_params):
percentage = retrofit_params.get('infiltration_reduction')
if percentage is not None:
new_rate = old_rate * (1 - percentage / 100)
```
5. _apply_window_retrofit_to_building()
Updates the overall U-value and g-value of windows.
```python
def _apply_window_retrofit_to_building(self, building: Building, retrofit_params):
overall_u_value = retrofit_params.get('window_u_value')
g_value = retrofit_params.get('window_g_value')
```
Error Handling
RetrofitFactory includes various error prevention mechanisms:
- Building ID Validation: Logs missing retrofit data for buildings not found in the input.
- U-value Validation: Only applies if the new U-value is lower than the old one.
- Null Checks: Ensures that parameters like infiltration_reduction are not null.
- Type Validation: Checks for required attributes, such as thermal boundaries and openings.
Data Validation
1. Building ID Validation
```python
building_id = str(building.name)
if building_id in self._retrofit_data:
# Process building
else:
print(f"No retrofit data for building ID {building_id}")
```
2. U-value and Window Value Validation
```python
if new_u_value < old_u_value:
# Apply change
else:
print(f"New U-value {new_u_value} is not less than old U-value {old_u_value}")
if overall_u_value is not None and overall_u_value != 0:
# Apply change
```
Building Model Integration
RetrofitFactory relies on the city model to access thermal zones, boundaries, and construction properties of buildings. For example:
- Thermal Zone Access:
```python
for thermal_zone in building.thermal_zones_from_internal_zones:
thermal_archetype = thermal_zone.parent_internal_zone.thermal_archetype
```
- Construction Properties Access:
```python
construction_archetype = thermal_boundary._construction_archetype
construction_archetype.window_overall_u_value = overall_u_value
construction_archetype.window_g_value = g_value
```
Logging and Debugging
RetrofitFactory includes detailed logging for tracking the progress and results of retrofits:
- Logs retrofit application: print(f"Applying retrofits to building ID {building_id}")
- Logs property updates: print(f"Updated wall U-value to {wall_u_value} in building {building.name}")
- Logs missing data: print(f"No retrofit data for building ID {building_id}")
Performance Considerations
- Memory Efficiency: Directly modifies existing objects instead of creating new copies.
- Computational Efficiency: Only processes buildings with available retrofit data and skips unnecessary thermal boundaries.
Integration Requirements
To function correctly, the city model must provide:
- Unique building names convertible to strings.
- Buildings with thermal zones and boundaries that contain layers for construction retrofits.
- Access to thermal zone properties and boundary layers.

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""" """
Cerc construction catalog (Copy of Nrcan catalog) Cerc construction catalog (Copy of Nrcan catalog)
SPDX - License - Identifier: LGPL - 3.0 - or -later Catlog Coder Mohamed Osman mohamed.osman@mail.concordia.ca
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
""" """
import json import json
@ -24,7 +22,7 @@ class CercCatalog(Catalog):
""" """
def __init__(self, path): def __init__(self, path):
_path_archetypes = Path(path / 'cerc_archetypes.json').resolve() _path_archetypes = Path(path / 'cerc_archetypes.json').resolve()
_path_constructions = (path / 'cerc_constructions.json').resolve() _path_constructions = Path(path / 'cerc_constructions.json').resolve()
with open(_path_archetypes, 'r', encoding='utf-8') as file: with open(_path_archetypes, 'r', encoding='utf-8') as file:
self._archetypes = json.load(file) self._archetypes = json.load(file)
with open(_path_constructions, 'r', encoding='utf-8') as file: with open(_path_constructions, 'r', encoding='utf-8') as file:

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"""
RetrofitFactory retrieve the specific construction module for the given region
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2024 Concordia CERC group
Project Coder mohamed Osman mohamed.osman@mail.concordia.ca
"""
from hub.city_model_structure.building import Building from hub.city_model_structure.building import Building
from hub.city_model_structure.city import City from hub.city_model_structure.city import City
import hub.helpers.constants as cte import hub.helpers.constants as cte
# from hub.data.retrofit_data import retrofit_data
class RetrofitFactory: class RetrofitFactory:
def __init__(self, retrofit_data, city): def __init__(self, retrofit_data, city):
""" """

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"roof_u_value": 0.15, "roof_u_value": 0.15,
"ground_u_value": 0.18, "ground_u_value": 0.18,
"infiltration_reduction": 30, "infiltration_reduction": 30,
"window_u_value": 1.1, "window_u_value": 0.8,
"window_g_value": 0.6 "window_g_value": 0.4
}, },
"176293": { "176293": {
"retrofit_types": ["windows"], "retrofit_types": ["windows"],

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@ -27,8 +27,8 @@ city = GeometryFactory('geojson',
function_field='function', function_field='function',
function_to_hub=Dictionaries().montreal_function_to_hub_function).city function_to_hub=Dictionaries().montreal_function_to_hub_function).city
# Enrich city data # Enrich city data
ConstructionFactory('nrcan', city).enrich() ConstructionFactory('cerc', city).enrich()
UsageFactory('nrcan', city).enrich() UsageFactory('cerc', city).enrich()
RetrofitFactory(retrofit_data, city).enrich() RetrofitFactory(retrofit_data, city).enrich()