HVAC-testing / data /reference_data.py
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"""
Reference data structures for HVAC Load Calculator.
This module contains reference data for materials, construction types, and other HVAC-related data.
"""
from typing import Dict, List, Any, Optional
import pandas as pd
import json
import os
# Define paths
DATA_DIR = os.path.dirname(os.path.abspath(__file__))
class ReferenceData:
"""Class for managing reference data for the HVAC calculator."""
def __init__(self):
"""Initialize reference data structures."""
self.materials = self._load_materials()
self.wall_types = self._load_wall_types()
self.roof_types = self._load_roof_types()
self.floor_types = self._load_floor_types()
self.window_types = self._load_window_types()
self.door_types = self._load_door_types()
self.internal_loads = self._load_internal_loads()
def _load_materials(self) -> Dict[str, Dict[str, Any]]:
"""
Load material properties from reference data.
Returns:
Dictionary of material properties
"""
# This would typically load from a JSON or CSV file
# For now, we'll define some common materials inline
return {
"brick": {
"name": "Common Brick",
"conductivity": 0.72, # W/(m·K)
"density": 1920, # kg/m³
"specific_heat": 840, # J/(kg·K)
"typical_thickness": 0.1 # m
},
"concrete": {
"name": "Concrete",
"conductivity": 1.4, # W/(m·K)
"density": 2300, # kg/m³
"specific_heat": 880, # J/(kg·K)
"typical_thickness": 0.2 # m
},
"mineral_wool": {
"name": "Mineral Wool Insulation",
"conductivity": 0.04, # W/(m·K)
"density": 30, # kg/m³
"specific_heat": 840, # J/(kg·K)
"typical_thickness": 0.1 # m
},
"eps_insulation": {
"name": "EPS Insulation",
"conductivity": 0.035, # W/(m·K)
"density": 25, # kg/m³
"specific_heat": 1400, # J/(kg·K)
"typical_thickness": 0.1 # m
},
"gypsum_board": {
"name": "Gypsum Board",
"conductivity": 0.25, # W/(m·K)
"density": 900, # kg/m³
"specific_heat": 1000, # J/(kg·K)
"typical_thickness": 0.0125 # m
},
"wood": {
"name": "Wood (Pine)",
"conductivity": 0.14, # W/(m·K)
"density": 500, # kg/m³
"specific_heat": 1600, # J/(kg·K)
"typical_thickness": 0.025 # m
},
"steel": {
"name": "Steel",
"conductivity": 50, # W/(m·K)
"density": 7800, # kg/m³
"specific_heat": 450, # J/(kg·K)
"typical_thickness": 0.005 # m
},
"glass": {
"name": "Glass",
"conductivity": 1.0, # W/(m·K)
"density": 2500, # kg/m³
"specific_heat": 840, # J/(kg·K)
"typical_thickness": 0.006 # m
},
"air_gap": {
"name": "Air Gap",
"conductivity": 0.024, # W/(m·K)
"density": 1.2, # kg/m³
"specific_heat": 1000, # J/(kg·K)
"typical_thickness": 0.025 # m
},
"concrete_block": {
"name": "Concrete Block",
"conductivity": 0.51, # W/(m·K)
"density": 1400, # kg/m³
"specific_heat": 1000, # J/(kg·K)
"typical_thickness": 0.2 # m
},
"asphalt_shingle": {
"name": "Asphalt Shingle",
"conductivity": 0.7, # W/(m·K)
"density": 1100, # kg/m³
"specific_heat": 1260, # J/(kg·K)
"typical_thickness": 0.006 # m
},
"carpet": {
"name": "Carpet",
"conductivity": 0.06, # W/(m·K)
"density": 200, # kg/m³
"specific_heat": 1300, # J/(kg·K)
"typical_thickness": 0.01 # m
},
"vinyl_flooring": {
"name": "Vinyl Flooring",
"conductivity": 0.17, # W/(m·K)
"density": 1200, # kg/m³
"specific_heat": 1460, # J/(kg·K)
"typical_thickness": 0.003 # m
}
}
def _load_wall_types(self) -> Dict[str, Dict[str, Any]]:
"""
Load predefined wall types from reference data.
Returns:
Dictionary of wall types with properties
"""
return {
"brick_veneer_wood_frame": {
"name": "Brick veneer with wood frame",
"description": "Brick veneer with wood frame, insulation, and gypsum board",
"u_value": 0.35, # W/(m²·K)
"wall_group": "B", # ASHRAE wall group
"layers": [
{"material": "brick", "thickness": 0.1},
{"material": "air_gap", "thickness": 0.025},
{"material": "wood", "thickness": 0.038},
{"material": "mineral_wool", "thickness": 0.089},
{"material": "gypsum_board", "thickness": 0.0125}
]
},
"concrete_block_insulated": {
"name": "Concrete block with interior insulation",
"description": "Concrete block wall with interior insulation and gypsum board",
"u_value": 0.48, # W/(m²·K)
"wall_group": "C", # ASHRAE wall group
"layers": [
{"material": "concrete_block", "thickness": 0.2},
{"material": "eps_insulation", "thickness": 0.05},
{"material": "gypsum_board", "thickness": 0.0125}
]
},
"precast_concrete_panel": {
"name": "Precast concrete panel",
"description": "Precast concrete panel with insulation and gypsum board",
"u_value": 0.45, # W/(m²·K)
"wall_group": "D", # ASHRAE wall group
"layers": [
{"material": "concrete", "thickness": 0.1},
{"material": "eps_insulation", "thickness": 0.075},
{"material": "gypsum_board", "thickness": 0.0125}
]
},
"metal_panel_insulated": {
"name": "Metal panel with insulation",
"description": "Metal panel wall with insulation and interior finish",
"u_value": 0.4, # W/(m²·K)
"wall_group": "E", # ASHRAE wall group
"layers": [
{"material": "steel", "thickness": 0.001},
{"material": "mineral_wool", "thickness": 0.1},
{"material": "gypsum_board", "thickness": 0.0125}
]
},
"wood_frame_wall": {
"name": "Wood frame wall",
"description": "Wood frame wall with insulation and gypsum board",
"u_value": 0.3, # W/(m²·K)
"wall_group": "A", # ASHRAE wall group
"layers": [
{"material": "wood", "thickness": 0.019},
{"material": "air_gap", "thickness": 0.025},
{"material": "wood", "thickness": 0.038},
{"material": "mineral_wool", "thickness": 0.14},
{"material": "gypsum_board", "thickness": 0.0125}
]
}
}
def _load_roof_types(self) -> Dict[str, Dict[str, Any]]:
"""
Load predefined roof types from reference data.
Returns:
Dictionary of roof types with properties
"""
return {
"flat_roof_concrete": {
"name": "Flat concrete roof with insulation",
"description": "Flat concrete roof with insulation and ceiling",
"u_value": 0.25, # W/(m²·K)
"roof_group": "B", # ASHRAE roof group
"layers": [
{"material": "concrete", "thickness": 0.15},
{"material": "eps_insulation", "thickness": 0.15},
{"material": "gypsum_board", "thickness": 0.0125}
]
},
"pitched_roof_wood": {
"name": "Pitched wood roof with insulation",
"description": "Pitched wood roof with insulation and ceiling",
"u_value": 0.2, # W/(m²·K)
"roof_group": "A", # ASHRAE roof group
"layers": [
{"material": "asphalt_shingle", "thickness": 0.006},
{"material": "wood", "thickness": 0.019},
{"material": "air_gap", "thickness": 0.025},
{"material": "mineral_wool", "thickness": 0.2},
{"material": "gypsum_board", "thickness": 0.0125}
]
},
"metal_deck_roof": {
"name": "Metal deck roof with insulation",
"description": "Metal deck roof with insulation and ceiling",
"u_value": 0.3, # W/(m²·K)
"roof_group": "C", # ASHRAE roof group
"layers": [
{"material": "steel", "thickness": 0.001},
{"material": "eps_insulation", "thickness": 0.1},
{"material": "air_gap", "thickness": 0.1},
{"material": "gypsum_board", "thickness": 0.0125}
]
}
}
def _load_floor_types(self) -> Dict[str, Dict[str, Any]]:
"""
Load predefined floor types from reference data.
Returns:
Dictionary of floor types with properties
"""
return {
"concrete_slab_on_grade": {
"name": "Concrete slab on grade",
"description": "Concrete slab on grade with insulation",
"u_value": 0.3, # W/(m²·K)
"is_ground_contact": True,
"layers": [
{"material": "concrete", "thickness": 0.1},
{"material": "eps_insulation", "thickness": 0.05}
]
},
"suspended_concrete_floor": {
"name": "Suspended concrete floor",
"description": "Suspended concrete floor with insulation",
"u_value": 0.25, # W/(m²·K)
"is_ground_contact": False,
"layers": [
{"material": "concrete", "thickness": 0.15},
{"material": "eps_insulation", "thickness": 0.1},
{"material": "gypsum_board", "thickness": 0.0125}
]
},
"wood_joist_floor": {
"name": "Wood joist floor",
"description": "Wood joist floor with insulation",
"u_value": 0.22, # W/(m²·K)
"is_ground_contact": False,
"layers": [
{"material": "wood", "thickness": 0.025},
{"material": "air_gap", "thickness": 0.15},
{"material": "mineral_wool", "thickness": 0.15},
{"material": "gypsum_board", "thickness": 0.0125}
]
},
"carpet_on_concrete": {
"name": "Carpet on concrete",
"description": "Carpet on concrete slab with insulation",
"u_value": 0.28, # W/(m²·K)
"is_ground_contact": True,
"layers": [
{"material": "carpet", "thickness": 0.01},
{"material": "concrete", "thickness": 0.1},
{"material": "eps_insulation", "thickness": 0.05}
]
}
}
def _load_window_types(self) -> Dict[str, Dict[str, Any]]:
"""
Load predefined window types from reference data.
Returns:
Dictionary of window types with properties
"""
return {
"single_glazed": {
"name": "Single glazed window",
"description": "Single glazed window with aluminum frame",
"u_value": 5.8, # W/(m²·K)
"shgc": 0.86, # Solar Heat Gain Coefficient
"vt": 0.9, # Visible Transmittance
"glazing_layers": 1,
"gas_fill": "Air",
"frame_type": "Aluminum",
"low_e_coating": False
},
"double_glazed_air": {
"name": "Double glazed window with air",
"description": "Double glazed window with air gap and aluminum frame",
"u_value": 2.8, # W/(m²·K)
"shgc": 0.76, # Solar Heat Gain Coefficient
"vt": 0.81, # Visible Transmittance
"glazing_layers": 2,
"gas_fill": "Air",
"frame_type": "Aluminum",
"low_e_coating": False
},
"double_glazed_argon_low_e": {
"name": "Double glazed window with argon and low-e coating",
"description": "Double glazed window with argon fill, low-e coating, and vinyl frame",
"u_value": 1.4, # W/(m²·K)
"shgc": 0.4, # Solar Heat Gain Coefficient
"vt": 0.7, # Visible Transmittance
"glazing_layers": 2,
"gas_fill": "Argon",
"frame_type": "Vinyl",
"low_e_coating": True
},
"triple_glazed_argon_low_e": {
"name": "Triple glazed window with argon and low-e coating",
"description": "Triple glazed window with argon fill, low-e coating, and vinyl frame",
"u_value": 0.8, # W/(m²·K)
"shgc": 0.3, # Solar Heat Gain Coefficient
"vt": 0.6, # Visible Transmittance
"glazing_layers": 3,
"gas_fill": "Argon",
"frame_type": "Vinyl",
"low_e_coating": True
}
}
def _load_door_types(self) -> Dict[str, Dict[str, Any]]:
"""
Load predefined door types from reference data.
Returns:
Dictionary of door types with properties
"""
return {
"solid_wood_door": {
"name": "Solid wood door",
"description": "Solid wood door with no glazing",
"u_value": 2.2, # W/(m²·K)
"glazing_percentage": 0,
"door_type": "Solid"
},
"insulated_steel_door": {
"name": "Insulated steel door",
"description": "Insulated steel door with no glazing",
"u_value": 1.2, # W/(m²·K)
"glazing_percentage": 0,
"door_type": "Solid"
},
"partially_glazed_door": {
"name": "Partially glazed door",
"description": "Wood door with 25% glazing",
"u_value": 2.8, # W/(m²·K)
"glazing_percentage": 25,
"door_type": "Partially glazed",
"shgc": 0.76, # Solar Heat Gain Coefficient for the glazed portion
"vt": 0.81 # Visible Transmittance for the glazed portion
},
"glass_door": {
"name": "Glass door",
"description": "Full glass door with aluminum frame",
"u_value": 3.8, # W/(m²·K)
"glazing_percentage": 90,
"door_type": "Glass",
"shgc": 0.76, # Solar Heat Gain Coefficient
"vt": 0.81 # Visible Transmittance
}
}
def _load_internal_loads(self) -> Dict[str, Dict[str, Any]]:
"""
Load internal load data from reference data.
Returns:
Dictionary of internal load types with properties
"""
return {
"occupancy": {
"seated_very_light_work": {
"name": "Seated, very light work",
"sensible_heat": 70, # W per person
"latent_heat": 45 # W per person
},
"office_work_standing": {
"name": "Office work, standing",
"sensible_heat": 75, # W per person
"latent_heat": 55 # W per person
},
"light_physical_work": {
"name": "Light physical work",
"sensible_heat": 80, # W per person
"latent_heat": 140 # W per person
},
"medium_physical_work": {
"name": "Medium physical work",
"sensible_heat": 90, # W per person
"latent_heat": 185 # W per person
},
"heavy_physical_work": {
"name": "Heavy physical work",
"sensible_heat": 170, # W per person
"latent_heat": 255 # W per person
}
},
"lighting": {
"led": {
"name": "LED",
"power_density_range": [5, 10], # W/m²
"heat_to_space": 0.9 # Fraction of power that becomes heat
},
"fluorescent": {
"name": "Fluorescent",
"power_density_range": [10, 15], # W/m²
"heat_to_space": 0.95 # Fraction of power that becomes heat
},
"incandescent": {
"name": "Incandescent",
"power_density_range": [15, 25], # W/m²
"heat_to_space": 0.98 # Fraction of power that becomes heat
},
"halogen": {
"name": "Halogen",
"power_density_range": [12, 20], # W/m²
"heat_to_space": 0.97 # Fraction of power that becomes heat
}
},
"equipment": {
"office_equipment": {
"name": "Office Equipment",
"power_density_range": [10, 20], # W/m²
"sensible_fraction": 0.9,
"latent_fraction": 0.1
},
"kitchen_equipment": {
"name": "Kitchen Equipment",
"power_density_range": [30, 200], # W/m²
"sensible_fraction": 0.6,
"latent_fraction": 0.4
},
"manufacturing_equipment": {
"name": "Manufacturing Equipment",
"power_density_range": [20, 100], # W/m²
"sensible_fraction": 0.8,
"latent_fraction": 0.2
}
}
}
def get_material(self, material_id: str) -> Optional[Dict[str, Any]]:
"""
Get material properties by ID.
Args:
material_id: Material identifier
Returns:
Dictionary of material properties or None if not found
"""
return self.materials.get(material_id)
def get_wall_type(self, wall_type_id: str) -> Optional[Dict[str, Any]]:
"""
Get wall type properties by ID.
Args:
wall_type_id: Wall type identifier
Returns:
Dictionary of wall type properties or None if not found
"""
return self.wall_types.get(wall_type_id)
def get_roof_type(self, roof_type_id: str) -> Optional[Dict[str, Any]]:
"""
Get roof type properties by ID.
Args:
roof_type_id: Roof type identifier
Returns:
Dictionary of roof type properties or None if not found
"""
return self.roof_types.get(roof_type_id)
def get_floor_type(self, floor_type_id: str) -> Optional[Dict[str, Any]]:
"""
Get floor type properties by ID.
Args:
floor_type_id: Floor type identifier
Returns:
Dictionary of floor type properties or None if not found
"""
return self.floor_types.get(floor_type_id)
def get_window_type(self, window_type_id: str) -> Optional[Dict[str, Any]]:
"""
Get window type properties by ID.
Args:
window_type_id: Window type identifier
Returns:
Dictionary of window type properties or None if not found
"""
return self.window_types.get(window_type_id)
def get_door_type(self, door_type_id: str) -> Optional[Dict[str, Any]]:
"""
Get door type properties by ID.
Args:
door_type_id: Door type identifier
Returns:
Dictionary of door type properties or None if not found
"""
return self.door_types.get(door_type_id)
def get_internal_load(self, load_type: str, load_id: str) -> Optional[Dict[str, Any]]:
"""
Get internal load properties by type and ID.
Args:
load_type: Type of internal load (occupancy, lighting, equipment)
load_id: Internal load identifier
Returns:
Dictionary of internal load properties or None if not found
"""
if load_type in self.internal_loads:
return self.internal_loads[load_type].get(load_id)
return None
def export_to_json(self, file_path: str) -> None:
"""
Export all reference data to a JSON file.
Args:
file_path: Path to the output JSON file
"""
data = {
"materials": self.materials,
"wall_types": self.wall_types,
"roof_types": self.roof_types,
"floor_types": self.floor_types,
"window_types": self.window_types,
"door_types": self.door_types,
"internal_loads": self.internal_loads
}
with open(file_path, 'w') as f:
json.dump(data, f, indent=4)
@classmethod
def from_json(cls, file_path: str) -> 'ReferenceData':
"""
Create a ReferenceData instance from a JSON file.
Args:
file_path: Path to the input JSON file
Returns:
A new ReferenceData instance
"""
with open(file_path, 'r') as f:
data = json.load(f)
ref_data = cls()
ref_data.materials = data.get("materials", ref_data.materials)
ref_data.wall_types = data.get("wall_types", ref_data.wall_types)
ref_data.roof_types = data.get("roof_types", ref_data.roof_types)
ref_data.floor_types = data.get("floor_types", ref_data.floor_types)
ref_data.window_types = data.get("window_types", ref_data.window_types)
ref_data.door_types = data.get("door_types", ref_data.door_types)
ref_data.internal_loads = data.get("internal_loads", ref_data.internal_loads)
return ref_data
# Create a singleton instance
reference_data = ReferenceData()
# Export reference data to JSON if needed
if __name__ == "__main__":
reference_data.export_to_json(os.path.join(DATA_DIR, "reference_data.json"))