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232 lines
9.7 KiB
Python
232 lines
9.7 KiB
Python
import math
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from typing import List
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import pandas as pd
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from BaseUtility import Definitions
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from datatypes.enums import QuantityUnits
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from backend.Property import Property
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from recommendations.recommendation_utils import (
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r_value_per_mm_to_u_value, calculate_u_value_uplift, is_diminishing_returns, update_lowest_selected_u_value,
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get_recommended_part, get_floor_u_value, override_costs
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)
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from recommendations.Costs import Costs
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class FloorRecommendations(Definitions):
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# part L building regulations indicate that any rennovations on an existing property's walls should
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# achieve a U-value of no higher than 0.3
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BUILDING_REGULATIONS_PART_L_MAX_U_VALUE = 0.25
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# We don't recommend measures that are too low because it becomes expensive, therefore we aim to avoid
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# diminishing returns. This value should be verified with Osmosis (TODO)
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DIMINISHING_RETURNS_U_VALUE = 0.2
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REGION_LOOKUP = {
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"England and Wales": "England_Wales",
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}
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PART_L_YEAR_CUTOFF = 2002
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def __init__(
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self,
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property_instance: Property,
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materials: List,
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):
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self.property = property_instance
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self.costs = Costs(self.property)
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# For audit purposes, when estimating u values we'll store it
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self.estimated_u_value = None
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# Will contains a list of recommended measures
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self.recommendations = []
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self.suspended_floor_insulation_materials = [
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part for part in materials if part["type"] == "suspended_floor_insulation"
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]
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self.suspended_floor_non_insulation_materials = [
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part for part in materials if part["type"] in [
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"suspended_floor_demolition", "suspended_floor_redecoration", "suspended_floor_vapour_barrier"
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]
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]
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# For solid floor, we don't use materials that are too thick
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self.solid_floor_insulation_materials = [
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part for part in materials if part["type"] == "solid_floor_insulation" if float(part["depth"]) <= 75
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]
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self.solid_floor_non_insulation_materials = [
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part for part in materials if part["type"] in [
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"solid_floor_demolition", "solid_floor_preparation", "solid_floor_vapour_barrier",
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"solid_floor_redecoration"
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]
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]
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self.exposed_floor_insulation_materials = [
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part for part in materials if part["type"] == "exposed_floor_insulation"
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]
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# TODO: To be completed
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self.exposed_floor_non_insulation_materials = []
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def recommend(self, phase=0):
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u_value = self.property.floor["thermal_transmittance"]
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property_type = self.property.data["property-type"]
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floor_area = self.property.insulation_floor_area
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year_built = self.property.year_built
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if self.property.floor["another_property_below"] | (self.property.floor["insulation_thickness"] in [
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"average", "above average"
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]):
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# If there's another property below, it's likely impractical to recommend a floor upgrade,
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# or if the floor is already insualted
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return
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# If the property is a flat that isn't at ground level, it's likely impractical to recommend a floor upgrade
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if (self.property.floor_level != 0) and (property_type == "Flat") and (
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self.property.floor["another_property_below"]
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):
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return
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# If the property is a new build flat, we won't recommend floor upgrades
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if len(self.property.full_sap_epc) and (property_type == "Flat"):
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return
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if u_value:
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# By being built more recently than this, it means that the property was likely build with soild
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# concrete floors with insulation already
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if year_built < self.PART_L_YEAR_CUTOFF:
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raise NotImplementedError("Not investigated this use case")
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if u_value <= self.BUILDING_REGULATIONS_PART_L_MAX_U_VALUE:
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# The floor is already compliant
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return
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if u_value is None:
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u_value = get_floor_u_value(
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floor_type=self.property.floor_type,
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area=floor_area,
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perimeter=self.property.perimeter,
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age_band=self.property.age_band,
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insulation_thickness=self.property.floor["insulation_thickness"],
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wall_type=self.property.wall_type
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)
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self.estimated_u_value = u_value
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if u_value < self.BUILDING_REGULATIONS_PART_L_MAX_U_VALUE:
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return
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if self.property.floor["is_suspended"]:
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# Given the U-value, we recommend underfloor insulation
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self.recommend_floor_insulation(
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phase=phase,
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u_value=u_value,
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insulation_materials=self.suspended_floor_insulation_materials,
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non_insulation_materials=self.suspended_floor_non_insulation_materials
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)
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return
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if self.property.floor["is_solid"]:
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# Given the U-value, we recommend solid floor insulation options which are usually solid foam
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self.recommend_floor_insulation(
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u_value=u_value,
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insulation_materials=self.solid_floor_insulation_materials,
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non_insulation_materials=self.solid_floor_non_insulation_materials,
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phase=phase
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)
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return
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if self.property.floor["is_to_unheated_space"] or self.property.floor["is_to_external_air"]:
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self.recommend_floor_insulation(u_value=u_value, parts=self.exposed_floor_insulation_parts)
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return
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raise NotImplementedError("Implement me!")
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@staticmethod
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def _make_floor_description(material):
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if material["type"] == "suspended_floor_insulation":
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return (f"Install {int(material['depth'])}{material['depth_unit']} {material['description']} insulation in "
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f"suspended floor")
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if material["type"] == "solid_floor_insulation":
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return (f"Install {int(material['depth'])}{material['depth_unit']} {material['description']} insulation on "
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f"solid floor")
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if material["type"] == "exposed_floor_insulation":
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return (f"Install {int(material['depth'])}{material['depth_unit']} {material['description']} insulation in "
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f"exposed floor")
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raise ValueError("Invalid material type - implement me!")
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def recommend_floor_insulation(self, u_value, insulation_materials, non_insulation_materials, phase):
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"""
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This method is tasked with estimating the impact of performing suspended floor insulation
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:return:
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"""
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insulation_materials = pd.DataFrame(insulation_materials)
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lowest_selected_u_value = None
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for _, insulation_material_group in insulation_materials.groupby("description"):
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for _, material in insulation_material_group.iterrows():
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part_u_value = r_value_per_mm_to_u_value(material["depth"], material["r_value_per_mm"])
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_, new_u_value = calculate_u_value_uplift(u_value, part_u_value)
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new_u_value = math.ceil(new_u_value * 100.0) / 100.0
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if is_diminishing_returns(
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self.recommendations, new_u_value, lowest_selected_u_value, self.DIMINISHING_RETURNS_U_VALUE
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):
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continue
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if new_u_value <= self.BUILDING_REGULATIONS_PART_L_MAX_U_VALUE:
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lowest_selected_u_value = update_lowest_selected_u_value(lowest_selected_u_value, new_u_value)
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if material["type"] == "suspended_floor_insulation":
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cost_result = self.costs.suspended_floor_insulation(
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insulation_floor_area=self.property.insulation_floor_area,
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material=material.to_dict(),
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non_insulation_materials=non_insulation_materials
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)
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is_override = "suspended_floor_insulation" in self.property.override
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if is_override:
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cost_result = override_costs(cost_result)
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elif material["type"] == "solid_floor_insulation":
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cost_result = self.costs.solid_floor_insulation(
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insulation_floor_area=self.property.insulation_floor_area,
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material=material.to_dict(),
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non_insulation_materials=non_insulation_materials
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)
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is_override = "solid_floor_insulation" in self.property.override
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if is_override:
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cost_result = override_costs(cost_result)
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else:
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raise NotImplementedError("Implement me!")
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self.recommendations.append(
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{
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"phase": phase,
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"parts": [
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get_recommended_part(
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part=material.to_dict(),
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quantity=self.property.insulation_floor_area,
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quantity_unit=QuantityUnits.m2.value,
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cost_result=cost_result
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),
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],
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"type": material["type"],
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"description": self._make_floor_description(material),
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"starting_u_value": u_value,
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"new_u_value": new_u_value,
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"sap_points": None,
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**cost_result
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}
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)
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