Model/recommendations/HeatingRecommender.py
2024-04-19 16:43:13 +01:00

436 lines
20 KiB
Python

import pandas as pd
from recommendations.Costs import Costs
from recommendations.recommendation_utils import check_simulation_difference, override_costs
from backend.Property import Property
from etl.epc_clean.epc_attributes.MainheatAttributes import MainHeatAttributes
from etl.epc_clean.epc_attributes.HotWaterAttributes import HotWaterAttributes
from etl.epc_clean.epc_attributes.MainFuelAttributes import MainFuelAttributes
from recommendations.HeatingControlRecommender import HeatingControlRecommender
class HeatingRecommender:
def __init__(self, property_instance: Property):
self.property = property_instance
self.costs = Costs(self.property)
self.recommendations = []
def recommend(self, phase=0):
# TODO: We could have a system flush recommendation for an existing boiler, where there is no need to replace
# the boiler, but instead flushing the system will make it run more efficiently. There is a cost for this
# in the Costs class, stored as SYSTEM_FLUSH_COST
self.recommendations = []
# This first iteration of the recommender will provide very basic recommendation
# We recommend heating controls based on the main heating system
has_electric_heating_description = self.property.main_heating["clean_description"] in [
"Room heaters, electric", "Electric storage heaters", "Electric storage heaters, radiators"
]
no_heating_no_mains = (
self.property.main_heating["clean_description"] in ["No system present, electric heaters assumed"] and
not self.property.data["mains-gas-flag"]
)
if has_electric_heating_description or no_heating_no_mains:
# Recommend high heat retention storage heaters
self.recommend_hhr_storage_heaters(phase=phase, system_change=True, heating_controls_only=False)
# if the property has mains heating with boiler and radiators, we recommend optimal heating controls
has_boiler = self.property.main_heating["clean_description"] in ["Boiler and radiators, mains gas"]
# We also check that the property doesn't have a heating system, but it has access to the mains gas
no_heating_has_mains = self.property.main_heating["clean_description"] in [
'No system present, electric heaters assumed'
] and self.property.data["mains-gas-flag"]
has_gas_heaters = (
self.property.main_heating["clean_description"] in ["Room heaters, mains gas"] and
self.property.data["mains-gas-flag"]
)
# We also check if the property has electric heating, but it has access to the mains gas
electic_heating_has_mains = has_electric_heating_description and self.property.data["mains-gas-flag"]
portable_heaters_has_mains = (
self.property.main_heating["clean_description"] in ["Portable electric heaters assumed for most rooms"] and
self.property.data["mains-gas-flag"]
)
if (
has_boiler or
no_heating_has_mains or
electic_heating_has_mains or
has_gas_heaters or
portable_heaters_has_mains
):
# This indicates that the home previously did not have a boiler in place and so would require
# an overhaul to the system - right now, this is all reasons, apart from if there is an existing boiler
system_change = not has_boiler
exising_room_heaters = self.property.main_heating["clean_description"] in [
"Room heaters, electric", "Room heaters, mains gas"
]
self.recommend_boiler_upgrades(
phase=phase, system_change=system_change, exising_room_heaters=exising_room_heaters
)
return
@staticmethod
def check_simulation_difference(old_config, new_config):
"""
Given two dictionaries, that describe the heating control configurations, this method will compare the two
and pick out the differences. These differences will be things that have been added and things that have been
removed. This will be used to determine how we should be updating the configuration in the simulation
:return:
"""
differences = {key + "_ending": new_config[key] for key in new_config if old_config[key] != new_config[key]}
return differences
def combine_heating_and_controls(
self, controls_recommendations, heating_simulation_config, costs, description, phase, heating_controls_only,
system_change
):
"""
Given a recommendation for heating controls, and a recommendation for the heating system, we combine the two
into a single recommendation
:param controls_recommendations: The heating controls recommendations
:param heating_simulation_config: The simulation configuration for the heating system
:param costs: The costs of the heating system
:param description: The description of the recommendation
:param phase: The phase of the recommendation
:param heating_controls_only: If True, we will also add a recommendation for heating controls only
:param system_change: Indicates if we are recommending a different type of heating system, compared to the
current system. If we have a system change and we have a heat control recommendation, we only recommend
both heating and controls together
:return:
"""
# We produce recommendations with & without heating controls
# We will also produce a recommendation for heating controls only
heating_controls_switch = [True, False] if controls_recommendations else [False]
if not heating_simulation_config:
heating_controls_switch = []
if system_change and len(controls_recommendations):
heating_controls_switch = [True]
output = []
for controls_switch in heating_controls_switch:
total_costs = costs.copy()
recommendation_simulation_config = heating_simulation_config.copy()
recommendation_description = description
if controls_switch:
# We add the costs of the heating controls, onto each key in the costs dictionary
for key in total_costs:
total_costs[key] += controls_recommendations[0][key]
recommendation_simulation_config = {
**recommendation_simulation_config,
**controls_recommendations[0]["simulation_config"]
}
controls_description = controls_recommendations[0]['description']
# Make the first letter of the description lowercase
controls_description = (
controls_description[0].lower() + controls_description[1:]
)
recommendation_description = f"{description} and {controls_description}"
already_installed = "cavity_wall_insulation" in self.property.already_installed
if already_installed:
total_costs = override_costs(total_costs)
recommendation_description = "Heating system has already been upgraded, no further action needed."
recommendation = {
"phase": phase,
"parts": [
# TODO
],
"type": "heating",
"description": recommendation_description,
"starting_u_value": None,
"new_u_value": None,
"sap_points": None,
"already_installed": already_installed,
**total_costs,
"simulation_config": recommendation_simulation_config
}
output.append(recommendation)
if heating_controls_only and len(controls_recommendations):
# Also add on a recommendation for heating controls only
heating_control_recommendation = controls_recommendations[0].copy()
# Capitalize the first letter of the description
heating_control_recommendation["description"] = (
heating_control_recommendation["description"][0].upper() +
heating_control_recommendation["description"][1:]
)
output.append(
{
"phase": phase,
"parts": [
# TODO
],
"type": "heating",
"starting_u_value": None,
"new_u_value": None,
"sap_points": None,
**heating_control_recommendation
}
)
return output
def recommend_hhr_storage_heaters(self, phase, system_change, heating_controls_only):
"""
We will recommend upgrading to a high heat retention storage system, if the current system is not already
high heat retention storage
:param phase: The phase of the recommendation
:param system_change: Indicates if we are recommending a different type of heating system, compared to the
current system
:param heating_controls_only: Indicates if we should include a recommendation for just heating controls
:return:
"""
controls_recommender = HeatingControlRecommender(self.property)
# The heating controls we're recommending for are based on the recommended heating system
high_heat_retention_contols_desc = "Controls for high heat retention storage heaters"
# We only recommend Celect-type controls if the current heating system is not Celect-type controls
if self.property.main_heating_controls["clean_description"] != high_heat_retention_contols_desc:
controls_recommender.recommend(heating_description="Electric storage heaters, radiators")
# Conditions for not needing this recommendation
already_installed_hh_retention = (
"Electric storage heaters" in self.property.main_heating["clean_description"] and
self.property.main_heating_controls["clean_description"].lower() == high_heat_retention_contols_desc.lower()
)
# Conditions for not recommending electric storage heaters
if already_installed_hh_retention:
# No recommendation needed
return
# Set up artefacts, suitable for the simulation and regardless of controls
heating_ending_config = MainHeatAttributes("Electric storage heaters, radiators").process()
heating_simulation_config = check_simulation_difference(
new_config=heating_ending_config, old_config=self.property.main_heating
)
# This upgrade will only take the heating system to average energy efficiency
heating_simulation_config["mainheat_energy_eff_ending"] = "Average"
# If the property is off-gas and has no heating system in place, the number of heated rooms will actually
# be 0, so we use the number of rooms as the figure
number_heated_rooms = (
self.property.data["number-heated-rooms"] if self.property.data["number-heated-rooms"] > 0
else (
self.property.number_of_rooms - 1 if self.property.number_of_rooms > 1 else
self.property.number_of_rooms
)
)
# Upgrade to electric storage heaters
costs = self.costs.high_heat_electric_storage_heaters(
number_heated_rooms=number_heated_rooms
)
description = "Install high heat retention electric storage heaters"
recommendations = self.combine_heating_and_controls(
controls_recommendations=controls_recommender.recommendation,
heating_simulation_config=heating_simulation_config,
costs=costs,
description=description,
phase=phase,
heating_controls_only=heating_controls_only,
system_change=system_change
)
self.recommendations.extend(recommendations)
@staticmethod
def estimate_boiler_size(property_type, built_form, floor_area, floor_height, num_heated_rooms):
# Step 1: Base size estimation based on property type (as a starting point)
base_size = {
'Flat': 25,
'House': 30,
'Maisonette': 28,
'Bungalow': 27
}
# Step 2: Calculate the volume of the property
volume = floor_area * floor_height
# Step 3: Adjust base size for built form (to account for heat retention)
form_adjustment = {
'Mid-Terrace': 0,
'End-Terrace': 2,
'Semi-Detached': 4,
'Detached': 6
}
# Step 4: Further adjust for the total volume and number of heated rooms
volume_adjustment = (volume / 100) # Simplified adjustment factor for volume
rooms_adjustment = (num_heated_rooms - 5) * 0.5 # Assuming base case of 5 rooms
# Calculate the estimated boiler size
estimated_size = base_size[property_type] + form_adjustment[built_form] + volume_adjustment + rooms_adjustment
# Step 5: Align with available boiler sizes and ensure it does not exceed 35kW, as it's rare to need more
available_sizes = [30, 35, 40, 45, 50]
estimated_size = min(max(estimated_size, 30), 40) # Ensure within 30kW to 35kW range
# Find the closest available size (in this case, either rounding up or down to align with 30 or 35)
closest_size = min(available_sizes, key=lambda x: abs(x - estimated_size))
return closest_size
def recommend_boiler_upgrades(self, phase, system_change, exising_room_heaters):
"""
This boiler recommendation will only recommend a like-for-like upgrade, since changing the system
is generally more expensive
:param phase:
:param system_change: Indicates if the property would be undergoing a heating system change. This could be true
if the home didn't have a heating system in place, or if the home had electric heating
previously
:param exising_room_heaters: Indicates if the property had room heaters previously - if so, a boiler
recommendation will need to be accompanied by removal of the room heaters
:return:
"""
recommendation_phase = phase
# We now recommend boiler upgrades, if applicable
simulation_config = {}
boiler_costs = {}
boiler_recommendation = {}
has_inefficient_space_heating = self.property.data["mainheat-energy-eff"] in ["Very Poor", "Poor", "Average"]
has_inefficient_mains_water = (
self.property.hotwater["clean_description"] in ["From main system"] and
self.property.data["hot-water-energy-eff"] in ["Very Poor", "Poor", "Average"]
)
if has_inefficient_space_heating or has_inefficient_mains_water:
boiler_size = self.estimate_boiler_size(
property_type=self.property.data["property-type"],
built_form=self.property.data["built-form"],
floor_area=self.property.floor_area,
floor_height=self.property.floor_height,
num_heated_rooms=self.property.data["number-heated-rooms"],
)
description = "Upgrade to a new condensing boiler"
simulation_config = {
"mainheat_energy_eff_ending": "Good",
"hot_water_energy_eff_ending": "Good"
}
if system_change:
# Installation of a boiler improves the hot water system so we need to reflect this in
# the outcome of the recommendation
heating_ending_config = MainHeatAttributes("Boiler and radiators, mains gas").process()
hotwater_ending_config = HotWaterAttributes("From main system").process()
fuel_ending_config = MainFuelAttributes("mains gas (not community)").process()
heating_simulation_config = check_simulation_difference(
new_config=heating_ending_config, old_config=self.property.main_heating
)
hotwater_simulation_config = check_simulation_difference(
new_config=hotwater_ending_config, old_config=self.property.hotwater
)
fuel_simulation_config = check_simulation_difference(
new_config=fuel_ending_config, old_config=self.property.main_fuel
)
simulation_config = {
**simulation_config,
**heating_simulation_config,
**hotwater_simulation_config,
**fuel_simulation_config,
"hot_water_energy_eff_ending": "Good"
}
boiler_costs = self.costs.boiler(
size=f"{boiler_size}kw",
exising_room_heaters=exising_room_heaters,
system_change=system_change,
n_heated_rooms=self.property.data["number-heated-rooms"],
n_rooms=self.property.number_of_rooms
)
already_installed = "heating" in self.property.already_installed
if already_installed:
boiler_costs = override_costs(boiler_costs)
description = "Heating system has already been upgraded, no further action needed."
boiler_recommendation = {
"phase": recommendation_phase,
"parts": [
# TODO
],
"type": "heating",
"description": description,
"starting_u_value": None,
"new_u_value": None,
"sap_points": None,
"already_installed": already_installed,
"simulation_config": simulation_config,
**boiler_costs
}
# We recommend the heating controls
# If the property did not previously have a boiler, we combine
controls_recommender = HeatingControlRecommender(self.property)
controls_recommender.recommend(heating_description="Boiler and radiators, mains gas")
# We may have 2 recommendations from the heating controls
if not controls_recommender.recommendation and not boiler_recommendation:
return
if not system_change and len(boiler_recommendation):
# If there is not a system change, we add the boiler recommendation at point.
self.recommendations.append([boiler_recommendation])
if system_change:
# We combine the heating and controls recommendations, in the case of a system change
combined_recommendations = []
for controls_recommendation in controls_recommender.recommendation:
combined_recommendation = self.combine_heating_and_controls(
controls_recommendations=[controls_recommendation],
heating_simulation_config=simulation_config,
costs=boiler_costs,
description=boiler_recommendation["description"],
phase=recommendation_phase,
heating_controls_only=False,
system_change=True
)
combined_recommendations.extend(combined_recommendation)
# Overwrite the existing boiler recommendation
self.recommendations.append(combined_recommendations)
else:
# We increment the recommendation phase, since the heating controls are separate from the boiler upgrade
# but we'll only upgrade if we have a heating recommendation
has_heating_recommendation = any(
rec["type"] == "heating" for recommendation in self.recommendations for rec in recommendation
)
if has_heating_recommendation:
recommendation_phase += 1
# The heating controls recommendation is distrinct from the boiler upgrade recommendation
# We insert phase into the recommendations for heating controls
for recommendation in controls_recommender.recommendation:
recommendation["phase"] = recommendation_phase
self.recommendations.append(controls_recommender.recommendation)
return