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124 lines
4.6 KiB
Python
124 lines
4.6 KiB
Python
import pandas as pd
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from BaseUtility import Definitions
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from backend.Property import Property
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class VentilationRecommendations(Definitions):
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"""
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For properties that do not have ventilation, we recommend installing ventilaion
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This is particularly important for properties that have insulated walls and is also
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crucial for prevent overheating risks in warmer months
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"""
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def __init__(
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self,
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property_instance: Property,
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materials
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):
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self.property = property_instance
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self.has_ventilaion = None
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self.recommendation = None
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self.materials = [part for part in materials if part["type"] == "mechanical_ventilation"]
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def recommend(self, phase):
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"""
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If there is no ventilation, we recommend installing ventilation
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Generally, best practice is to install controlled ventilation for insulated walls so we still recommend
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ventilation if there is natural ventilation
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:return:
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"""
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self.property.identify_ventilation()
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if self.property.has_ventilation:
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return
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if len(self.materials) != 1:
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raise NotImplementedError("Only handled the case of having one venilation option")
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# We recommend installing 2 units
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n_units = 2
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part = self.materials.copy()
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already_installed = "cavity_wall_insulation" in self.property.already_installed
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estimated_cost = n_units * part[0]["total_cost"] if not already_installed else 0
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labour_hours = 4 * n_units if not already_installed else 0
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labour_days = 4 * n_units / 8.0 if not already_installed else 0
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part[0]["total"] = estimated_cost
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part[0]["quantity"] = n_units
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part[0]["quantity_unit"] = "part"
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# We recommend installing two mechanical ventilation systems
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self.recommendation = [
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{
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"phase": phase,
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"parts": part,
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"type": part[0]["type"],
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"measure_type": "mechanical_ventilation",
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"description": f"Install {n_units} {part[0]['description']} units",
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"starting_u_value": None,
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"new_u_value": None,
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"already_installed": already_installed,
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"sap_points": 0,
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"heat_demand": 0,
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"kwh_savings": 0,
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"co2_equivalent_savings": 0,
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"energy_cost_savings": 0,
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"total": estimated_cost,
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# We use a very simple and rough estimate of 4 hours per unit
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"labour_hours": labour_hours,
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"labour_days": labour_days, # Assume 8 hour day
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"simulation_config": {
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"mechanical_ventilation_ending": "mechanical, extract only",
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},
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"description_simulation": {
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"mechanical-ventilation": "mechanical, extract only"
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}
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}
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]
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def recommend_trickle_vents(self):
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"""
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This is not something that we can identify completely non-invasively, however a recommendation which may come
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about as a result of an energy assessment is the installation of trickle vents. This function handles that
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"""
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trickle_vents_recommendation_config = next(
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(r for r in self.property.non_invasive_recommendations if r["type"] == "trickle_vents"), {}
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)
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if not trickle_vents_recommendation_config:
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return
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description = (
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"Install trickle vents on your windows" if
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not trickle_vents_recommendation_config.get("description")
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else trickle_vents_recommendation_config["description"]
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)
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return [
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{
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"phase": None,
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"parts": [],
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"type": "trickle_vents",
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"measure_type": "trickle_vents",
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"description": description,
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"starting_u_value": None,
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"new_u_value": None,
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"already_installed": False,
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"sap_points": 0,
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"heat_demand": 0,
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"kwh_savings": 0,
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"co2_equivalent_savings": 0,
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"energy_cost_savings": 0,
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"total": trickle_vents_recommendation_config["cost"],
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# We use a very simple and rough estimate of 4 hours per unit
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"labour_hours": trickle_vents_recommendation_config.get("labour_hours", 8),
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"labour_days": trickle_vents_recommendation_config.get("labour_days", 1), # Assume 8 hour day
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"survey": True
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}
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]
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