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Added boiler upgrade recommendation
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3 changed files with 20 additions and 28 deletions
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@ -34,8 +34,9 @@ def app():
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low_memory=False
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)
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z = epc_data.groupby(["WALLS_DESCRIPTION", "WALLS_ENERGY_EFF"]).size().reset_index(name="count")
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z = z[z["MAINHEAT_DESCRIPTION"] == "Boiler and radiators, mains gas"]
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z = epc_data[epc_data["MAINHEAT_DESCRIPTION"] == "Boiler and radiators, mains gas"]
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z["HOTWATER_DESCRIPTION"].value_counts()
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z["MAIN_FUEL"].value_counts()
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# Filter on entries where we have a UPRN
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epc_data = epc_data[~pd.isnull(epc_data["UPRN"])]
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@ -67,18 +67,12 @@ LOW_CARBON_COMBI_BOILER = 2200
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# https://www.greenmatch.co.uk/boilers/35kw-boiler
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# https://www.greenmatch.co.uk/boilers/40kw-boiler
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# These are exclusive of installation costs
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COMBI_BOILER_COSTS = {
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CONDENSING_BOILER_COSTS = {
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"30kw": 1550,
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"35kw": 1610,
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"40kw": 1625
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}
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CONVENTIONAL_BOILER_COSTS = {
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"30kw": 1117,
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"35kw": 1546,
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"40kw": 1776
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}
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# Assumes 3 hours to remove each heater (including re-decorating)
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ROOM_HEATER_REMOVAL_COST = 120
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ROOM_HEATER_REMOVAL_LABOUR_HOURS = 3
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@ -1179,7 +1173,7 @@ class Costs:
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estimated_radiators = max(total_radiators_based_on_power, base_radiators + additional_radiators)
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return round(estimated_radiators)
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def boiler(self, is_combi, size, exising_room_heaters, system_change, n_heated_rooms, n_rooms):
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def boiler(self, size, exising_room_heaters, system_change, n_heated_rooms, n_rooms):
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"""
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Based on a basic estimate of median value £2600 to install a low carbon combi boiler
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First time central heating vosts can als be found here:
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@ -1187,7 +1181,7 @@ class Costs:
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:return:
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"""
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unit_cost = COMBI_BOILER_COSTS[size] if is_combi else CONVENTIONAL_BOILER_COSTS[size]
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unit_cost = CONDENSING_BOILER_COSTS[size]
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# The unit cost is the cost without VAT
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# We now need to estimate the cost of the works
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labour_days = 2
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@ -312,7 +312,15 @@ class HeatingRecommender:
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simulation_config = {}
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boiler_costs = {}
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boiler_recommendation = {}
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if self.property.data["mainheat-energy-eff"] in ["Very Poor", "Poor", "Average"]:
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has_inefficient_space_heating = self.property.data["mainheat-energy-eff"] in ["Very Poor", "Poor", "Average"]
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has_inefficient_mains_water = (
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self.property.hotwater["clean_description"] in ["From main system"] and
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self.property.data["hot-water-energy-eff"] in ["Very Poor", "Poor", "Average"]
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)
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if has_inefficient_space_heating or has_inefficient_mains_water:
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boiler_size = self.estimate_boiler_size(
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property_type=self.property.data["property-type"],
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built_form=self.property.data["built-form"],
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@ -321,22 +329,12 @@ class HeatingRecommender:
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num_heated_rooms=self.property.data["number-heated-rooms"],
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)
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# We recommend a combi boiler under the following conditions
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# 1) If there are 4 or fewer rooms (we don't use heqted rooms because none of the rooms could be
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# heated if there is no existing heating system).
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# 2) There 1 or fewer bathrooms
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# Otherwise, we recommend a gas condensing boiler, which will server a larger property, that has multiple
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# bathrooms
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is_combi = (
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(self.property.number_of_rooms <= 4) and
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(self.property.n_bathrooms in [None, 0, 1])
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)
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if is_combi:
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description = "Upgrade to a new combi boiler"
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else:
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description = "Upgrade to a new gas condensing boiler"
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description = "Upgrade to a new condensing boiler"
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simulation_config = {"mainheat_energy_eff_ending": "Good"}
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simulation_config = {
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"mainheat_energy_eff_ending": "Good",
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"hot_water_energy_eff_ending": "Good"
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}
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if system_change:
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# Installation of a boiler improves the hot water system so we need to reflect this in
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# the outcome of the recommendation
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@ -363,7 +361,6 @@ class HeatingRecommender:
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}
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boiler_costs = self.costs.boiler(
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is_combi=is_combi,
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size=f"{boiler_size}kw",
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exising_room_heaters=exising_room_heaters,
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system_change=system_change,
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