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moved new functions to correct places

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Khalim Conn-Kowlessar 2023-09-20 15:16:20 +01:00
parent 92f7ac095f
commit aa64859706
3 changed files with 242 additions and 255 deletions
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model_data/cleaner_app.py
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@ -79,262 +79,9 @@ def app():
# Finally, we attach u-values to the descriptions for walls, roofs and floors
wall_types = [
"Stone: granite or whinstone as built",
"Stone: sandstone or limestone as built",
"Solid brick as built",
"Stone/solid brick with 50 mm external or internal insulation",
"Stone/solid brick with 100 mm external or internal insulation",
"Stone/solid brick with 150 mm external or internal insulation",
"Stone/solid brick with 200 mm external or internal insulation",
"Cob as built",
"Cob with 50 mm external or internal insulation",
"Cob with 100 mm external or internal insulation",
"Cob with 150 mm external or internal insulation",
"Cob with 200 mm external or internal insulation",
"Cavity as built",
"Unfilled cavity with 50 mm external or internal insulation",
"Unfilled cavity with 100 mm external or internal insulation",
"Unfilled cavity with 150 mm external or internal insulation",
"Unfilled cavity with 200 mm external or internal insulation",
"Filled cavity",
"Filled cavity with 50 mm external or internal insulation",
"Filled cavity with 100 mm external or internal insulation",
"Filled cavity with 150 mm external or internal insulation",
"Filled cavity with 200 mm external or internal insulation",
"Timber frame as built",
"Timber frame with internal insulation",
"System build as built",
"System build with 50 mm external or internal insulation",
"System build with 100 mm external or internal insulation",
"System build with 150 mm external or internal insulation",
"System build with 200 mm external or internal insulation",
]
u_values = [
["a", "a", "a", "a", "1.7b", "1.0", "0.6", "0.60", "0.45", "0.35", "0.30", "0.28"],
["a", "a", "a", "a", "1.7b", "1.0", "0.6", "0.60", "0.45", "0.35", "0.30", "0.28"],
["1.7", "1.7", "1.7", "1.7", "1.7", "1.0", "0.60", "0.60", "0.45", "0.35", "0.30", "0.28"],
["0.55", "0.55", "0.55", "0.55", "0.55", "0.45", "0.35", "0.35", "0.30", "0.25", "0.21", "0.21"],
["0.32", "0.32", "0.32", "0.32", "0.32", "0.28", "0.24", "0.24", "0.21", "0.19", "0.17", "0.16"],
["0.23", "0.23", "0.23", "0.23", "0.23", "0.21", "0.18", "0.18", "0.17", "0.15", "0.14", "0.14"],
["0.18", "0.18", "0.18", "0.18", "0.18", "0.17", "0.15", "0.15", "0.14", "0.13", "0.12", "0.12"],
["0.80", "0.80", "0.80", "0.80", "0.80", "0.80", "0.60", "0.60", "0.45", "0.35", "0.30", "0.28"],
["0.40", "0.40", "0.40", "0.40", "0.40", "0.40", "0.35", "0.35", "0.30", "0.25", "0.21", "0.21"],
["0.26", "0.26", "0.26", "0.26", "0.26", "0.26", "0.24", "0.24", "0.21", "0.19", "0.17", "0.16"],
["0.20", "0.20", "0.20", "0.20", "0.20", "0.20", "0.18", "0.18", "0.17", "0.15", "0.14", "0.14"],
["0.16", "0.16", "0.16", "0.16", "0.16", "0.16", "0.15", "0.15", "0.14", "0.13", "0.12", "0.12"],
["1.5", "1.5", "1.5", "1.5", "1.5", "1.0", "0.60", "0.60", "0.45", "0.35", "0.30", "0.28"],
["0.53", "0.53", "0.53", "0.53", "0.53", "0.45", "0.35", "0.35", "0.30", "0.25", "0.21", "0.21"],
["0.32", "0.32", "0.32", "0.32", "0.32", "0.30", "0.24", "0.24", "0.21", "0.19", "0.17", "0.16"],
["0.23", "0.23", "0.23", "0.23", "0.23", "0.21", "0.18", "0.18", "0.17", "0.15", "0.14", "0.14"],
["0.18", "0.18", "0.18", "0.18", "0.18", "0.17", "0.15", "0.15", "0.14", "0.13", "0.12", "0.12"],
["0.7", "0.7", "0.7", "0.7", "0.7", "0.40", "0.35", "0.35", "0.45", "0.35", "0.30", "0.28"],
["0.37", "0.37", "0.37", "0.37", "0.37", "0.27", "0.25", "0.25", "0.25", "0.25", "0.21", "0.21"],
["0.25", "0.25", "0.25", "0.25", "0.25", "0.20", "0.19", "0.19", "0.19", "0.19", "0.17", "0.16"],
["0.19", "0.19", "0.19", "0.19", "0.19", "0.16", "0.15", "0.15", "0.15", "0.15", "0.14", "0.14"],
["0.16", "0.16", "0.16", "0.16", "0.16", "0.13", "0.13", "0.13", "0.13", "0.13", "0.12", "0.12"],
["2.5", "1.9", "1.9", "1.0", "0.80", "0.45", "0.40", "0.40", "0.40", "0.35", "0.30", "0.28"],
["0.60", "0.55", "0.55", "0.40", "0.40", "0.40", "0.40", "0.40", "0.40", "0.35", "0.30", "0.28"],
["2.0", "2.0", "2.0", "2.0", "1.7", "1.0", "0.60", "0.60", "0.45", "0.35", "0.30", "0.28"],
["0.60", "0.60", "0.60", "0.60", "0.55", "0.45", "0.35", "0.35", "0.30", "0.25", "0.21", "0.21"],
["0.35", "0.35", "0.35", "0.35", "0.35", "0.32", "0.24", "0.24", "0.21", "0.19", "0.17", "0.16"],
["0.25", "0.25", "0.25", "0.25", "0.25", "0.21", "0.18", "0.18", "0.17", "0.15", "0.14", "0.14"],
["0.18", "0.18", "0.18", "0.18", "0.18", "0.17", "0.15", "0.15", "0.14", "0.13", "0.12", "0.12"],
]
age_bands = ["A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L"]
wall_uvalues = []
for i, wall_type in enumerate(wall_types):
row = {"Wall_type": wall_type}
for j, age_band in enumerate(age_bands):
row[age_band] = u_values[i][j]
wall_uvalues.append(row)
parkhome_wall_uvalues = [
{"Wall_type": "Park home as built", "F": "1.7", "G": "1.2", "I": "0.7", "K": "0.6"},
{"Wall_type": "Park home with additional insulation", "F": "s1.1.2", "G": "s1.1.2", "I": "s1.1.2",
"K": "s1.1.2"}
]
wall_uvalues.extend(parkhome_wall_uvalues)
wall_uvalues_df = pd.DataFrame(wall_uvalues)
# This maps the descriptions in the EPC data to the descriptions in the table
epc_wall_description_map = {
############################
# Cavity wall mappings
############################
"Cavity wall, as built, partial insulation": "Filled cavity",
"Cavity wall, filled cavity": "Filled cavity",
"Cavity wall, as built, no insulation": "Cavity as built",
"Cavity wall, as built, insulated": "Unfilled cavity with 100 mm external or internal insulation",
"Cavity wall, with external insulation": "Unfilled cavity with 100 mm external or internal insulation",
"Cavity wall, insulated": "Unfilled cavity with 100 mm external or internal insulation",
'Cavity wall, partial insulation': "Unfilled cavity with 50 mm external or internal insulation",
"Cavity wall,": "Cavity as built", # General case of cavity wall without further details
"Cavity wall, filled cavity and external insulation":
"Filled cavity with 100 mm external or internal insulation",
"Cavity wall, filled cavity and internal insulation":
"Filled cavity with 100 mm external or internal insulation",
"Cavity wall, with internal insulation": "Unfilled cavity with 100 mm external or internal insulation",
"Cavity wall, no insulation": "Cavity as built",
############################
# Solid brick wall mappings
############################
"Solid brick, as built, no insulation": "Solid brick as built",
"Solid brick, with internal insulation": "Stone/solid brick with 100 mm external or internal insulation",
"Solid brick, as built, insulated": "Stone/solid brick with 100 mm external or internal insulation",
"Solid brick, with external insulation": "Stone/solid brick with 100 mm external or internal insulation",
"Solid brick, as built, partial insulation": "Stone/solid brick with 50 mm external or internal insulation",
############################
# Timber frame wall mappings
############################
# These mappings are perhaps the most dubious due to the lack of timber options in the RdSAP table
"Timber frame, as built, insulated": "Timber frame with internal insulation",
"Timber frame, with additional insulation": "Timber frame with internal insulation",
"Timber frame, as built, partial insulation": "Timber frame as built",
"Timber frame, as built, no insulation": "Timber frame as built",
"Timber frame, with external insulation": "Timber frame with internal insulation",
############################
# Sandstone/limestones wall mappings
############################
"Sandstone or limestone, as built, no insulation": "Stone: sandstone or limestone as built",
"Sandstone or limestone, with internal insulation":
"Stone/solid brick with 100 mm external or internal insulation",
"Sandstone or limestone, as built, partial insulation": "Stone/solid brick with 50 mm external or internal "
"insulation",
"Sandstone, as built, no insulation": "Stone: sandstone or limestone as built",
"Sandstone or limestone, as built, insulated":
"Stone/solid brick with 100 mm external or internal insulation",
"Sandstone, as built, insulated": "Stone/solid brick with 100 mm external or internal insulation",
"Sandstone, with internal insulation": "Stone/solid brick with 100 mm external or internal insulation",
"Sandstone or limestone, with external insulation": "Stone/solid brick with 100 mm external or internal "
"insulation",
"Sandstone, with external insulation": "Stone/solid brick with 100 mm external or internal insulation",
"Sandstone, as built, partial insulation": "Stone/solid brick with 50 mm external or internal insulation",
############################
# Granite/whinstone wall mappings
############################
"Granite or whinstone, as built, no insulation": "Stone: granite or whinstone as built",
"Granite or whinstone, with internal insulation": "Stone/solid brick with 100 mm external or internal "
"insulation",
"Granite or whinstone, as built, partial insulation": "Stone/solid brick with 50 mm external or internal "
"insulation",
"Granite or whinstone, as built, insulated": "Stone/solid brick with 100 mm external or internal "
"insulation",
"Granite or whinstone, with external insulation": "Stone/solid brick with 100 mm external or internal "
"insulation",
############################
# System built wall mappings
############################
"System built, as built, no insulation": "System build as built",
"System built, as built, partial insulation": "System build with 50 mm external or internal insulation",
"System built, with internal insulation": "System build with 100 mm external or internal insulation",
"System built, with external insulation": "System build with 100 mm external or internal insulation",
"System built, as built, insulated": "System build with 100 mm external or internal insulation",
############################
# Cob wall mappings
############################
"Cob, as built": "Cob as built",
"Cob, with external insulation": "Cob with 100 mm external or internal insulation",
"Cob, with internal insulation": "Cob with 100 mm external or internal insulation",
'Cob,': "Cob as built",
############################
# Park home mappings
############################
"Park home wall, as built": "Park home as built",
"Park home wall, with external insulation": "Park home with additional insulation",
"Park home wall, with internal insulation": "Park home with additional insulation",
}
from recommendations.rdsap_tables import default_wall_thickness
def apply_formula_s_5_1_1(is_granite_or_whinstone, is_sandstone_or_limestone, age_band):
"""
As the u-value table in https://bregroup.com/wp-content/uploads/2019/09/RdSAP_2012_9.94-20-09-2019.pdf
on page 19, certain u-values as indicated by an "a", should be populated using a formula as defined in section
S.5.1.1
:param wall_type:
:return:
"""
stone_wall_thickness = [x for x in default_wall_thickness if x["type"] == "stone"][0]
thickness = stone_wall_thickness["J_K_L"] if age_band in ["J", "L", "L"] else stone_wall_thickness[age_band]
if is_granite_or_whinstone:
return 3.3 - 0.002 * thickness
if is_sandstone_or_limestone:
return 3 - 0.002 * thickness
for i, wall in enumerate(cleaned_data["walls-description"]):
if wall["thermal_transmittance"] is not None or "Average thermal transmittance" in wall["clean_description"]:
continue
# TODO: Patched this already
if wall["original_description"] in "Sandstone, as built, no insulation (assumed)":
wall["is_sandstone_or_limestone"] = True
description = wall["clean_description"]
# Remove (assumed)
description = description.replace("(assumed)", "").rstrip()
# TODO: Patched this already:
if description == 'Cob with external insulation':
description = 'Cob, with external insulation'
if description == "Cavity wall":
description = 'Cavity wall, as built, no insulation'
mapped_description = epc_wall_description_map[description]
if "Park home" in description:
age_bands_loop = ["F", "G", "I", "K"]
else:
age_bands_loop = age_bands
# Get the u-value
for ab in age_bands_loop:
mapped_value = wall_uvalues_df[wall_uvalues_df["Wall_type"] == mapped_description][ab].values[0]
if mapped_value == "a":
# The rdSap documentation indicateswe should use a formula to calculate the u-value
uvalue = float(
apply_formula_s_5_1_1(
is_granite_or_whinstone=wall["is_granite_or_whinstone"],
is_sandstone_or_limestone=wall["is_sandstone_or_limestone"],
age_band=ab
)
)
elif "b" in mapped_value:
potential_uvalue = float(mapped_value.replace("b", ""))
formula_uvalue = float(apply_formula_s_5_1_1(
is_granite_or_whinstone=wall["is_granite_or_whinstone"],
is_sandstone_or_limestone=wall["is_sandstone_or_limestone"],
age_band=ab
))
uvalue = min(potential_uvalue, formula_uvalue)
elif mapped_value == "s1.1.2":
uvalue = None
else:
uvalue = float(mapped_value)
df = pd.DataFrame(cleaned_data["walls-description"])
df = pd.DataFrame(cleaned_data["roof-description"])
df = df[pd.isnull(df["thermal_transmittance"])]
df["clean_description"].values
# We store a singular file however we could store the data under the following file path:
# cleaned_epc_data/{component}/{original_description}/cleaned.bson
# where component is one of the keys of cleaned_data. If we store it against the original data, this

182
recommendations/rdsap_tables.py
View file

@ -3,6 +3,7 @@ This script contains standard tables which are defined in rdsap. The most recent
based on the 2012 version, however the government is currently working on releasing a new version, and there
we will need to re-visit this
"""
import pandas as pd
age_band_data = [
{
@ -123,3 +124,184 @@ default_wall_thickness = [
"H": None, "I": 75, "J_K_L": 100
},
]
# This wall u-value table is defined in the rdsap documentation on page 19
# https://bregroup.com/wp-content/uploads/2019/09/RdSAP_2012_9.94-20-09-2019.pdf
wall_types = [
"Stone: granite or whinstone as built",
"Stone: sandstone or limestone as built",
"Solid brick as built",
"Stone/solid brick with 50 mm external or internal insulation",
"Stone/solid brick with 100 mm external or internal insulation",
"Stone/solid brick with 150 mm external or internal insulation",
"Stone/solid brick with 200 mm external or internal insulation",
"Cob as built",
"Cob with 50 mm external or internal insulation",
"Cob with 100 mm external or internal insulation",
"Cob with 150 mm external or internal insulation",
"Cob with 200 mm external or internal insulation",
"Cavity as built",
"Unfilled cavity with 50 mm external or internal insulation",
"Unfilled cavity with 100 mm external or internal insulation",
"Unfilled cavity with 150 mm external or internal insulation",
"Unfilled cavity with 200 mm external or internal insulation",
"Filled cavity",
"Filled cavity with 50 mm external or internal insulation",
"Filled cavity with 100 mm external or internal insulation",
"Filled cavity with 150 mm external or internal insulation",
"Filled cavity with 200 mm external or internal insulation",
"Timber frame as built",
"Timber frame with internal insulation",
"System build as built",
"System build with 50 mm external or internal insulation",
"System build with 100 mm external or internal insulation",
"System build with 150 mm external or internal insulation",
"System build with 200 mm external or internal insulation",
]
u_values = [
["a", "a", "a", "a", "1.7b", "1.0", "0.6", "0.60", "0.45", "0.35", "0.30", "0.28"],
["a", "a", "a", "a", "1.7b", "1.0", "0.6", "0.60", "0.45", "0.35", "0.30", "0.28"],
["1.7", "1.7", "1.7", "1.7", "1.7", "1.0", "0.60", "0.60", "0.45", "0.35", "0.30", "0.28"],
["0.55", "0.55", "0.55", "0.55", "0.55", "0.45", "0.35", "0.35", "0.30", "0.25", "0.21", "0.21"],
["0.32", "0.32", "0.32", "0.32", "0.32", "0.28", "0.24", "0.24", "0.21", "0.19", "0.17", "0.16"],
["0.23", "0.23", "0.23", "0.23", "0.23", "0.21", "0.18", "0.18", "0.17", "0.15", "0.14", "0.14"],
["0.18", "0.18", "0.18", "0.18", "0.18", "0.17", "0.15", "0.15", "0.14", "0.13", "0.12", "0.12"],
["0.80", "0.80", "0.80", "0.80", "0.80", "0.80", "0.60", "0.60", "0.45", "0.35", "0.30", "0.28"],
["0.40", "0.40", "0.40", "0.40", "0.40", "0.40", "0.35", "0.35", "0.30", "0.25", "0.21", "0.21"],
["0.26", "0.26", "0.26", "0.26", "0.26", "0.26", "0.24", "0.24", "0.21", "0.19", "0.17", "0.16"],
["0.20", "0.20", "0.20", "0.20", "0.20", "0.20", "0.18", "0.18", "0.17", "0.15", "0.14", "0.14"],
["0.16", "0.16", "0.16", "0.16", "0.16", "0.16", "0.15", "0.15", "0.14", "0.13", "0.12", "0.12"],
["1.5", "1.5", "1.5", "1.5", "1.5", "1.0", "0.60", "0.60", "0.45", "0.35", "0.30", "0.28"],
["0.53", "0.53", "0.53", "0.53", "0.53", "0.45", "0.35", "0.35", "0.30", "0.25", "0.21", "0.21"],
["0.32", "0.32", "0.32", "0.32", "0.32", "0.30", "0.24", "0.24", "0.21", "0.19", "0.17", "0.16"],
["0.23", "0.23", "0.23", "0.23", "0.23", "0.21", "0.18", "0.18", "0.17", "0.15", "0.14", "0.14"],
["0.18", "0.18", "0.18", "0.18", "0.18", "0.17", "0.15", "0.15", "0.14", "0.13", "0.12", "0.12"],
["0.7", "0.7", "0.7", "0.7", "0.7", "0.40", "0.35", "0.35", "0.45", "0.35", "0.30", "0.28"],
["0.37", "0.37", "0.37", "0.37", "0.37", "0.27", "0.25", "0.25", "0.25", "0.25", "0.21", "0.21"],
["0.25", "0.25", "0.25", "0.25", "0.25", "0.20", "0.19", "0.19", "0.19", "0.19", "0.17", "0.16"],
["0.19", "0.19", "0.19", "0.19", "0.19", "0.16", "0.15", "0.15", "0.15", "0.15", "0.14", "0.14"],
["0.16", "0.16", "0.16", "0.16", "0.16", "0.13", "0.13", "0.13", "0.13", "0.13", "0.12", "0.12"],
["2.5", "1.9", "1.9", "1.0", "0.80", "0.45", "0.40", "0.40", "0.40", "0.35", "0.30", "0.28"],
["0.60", "0.55", "0.55", "0.40", "0.40", "0.40", "0.40", "0.40", "0.40", "0.35", "0.30", "0.28"],
["2.0", "2.0", "2.0", "2.0", "1.7", "1.0", "0.60", "0.60", "0.45", "0.35", "0.30", "0.28"],
["0.60", "0.60", "0.60", "0.60", "0.55", "0.45", "0.35", "0.35", "0.30", "0.25", "0.21", "0.21"],
["0.35", "0.35", "0.35", "0.35", "0.35", "0.32", "0.24", "0.24", "0.21", "0.19", "0.17", "0.16"],
["0.25", "0.25", "0.25", "0.25", "0.25", "0.21", "0.18", "0.18", "0.17", "0.15", "0.14", "0.14"],
["0.18", "0.18", "0.18", "0.18", "0.18", "0.17", "0.15", "0.15", "0.14", "0.13", "0.12", "0.12"],
]
age_bands = ["A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L"]
wall_uvalues = []
for i, wall_type in enumerate(wall_types):
row = {"Wall_type": wall_type}
for j, age_band in enumerate(age_bands):
row[age_band] = u_values[i][j]
wall_uvalues.append(row)
parkhome_wall_uvalues = [
{"Wall_type": "Park home as built", "F": "1.7", "G": "1.2", "I": "0.7", "K": "0.6"},
{"Wall_type": "Park home with additional insulation", "F": "s1.1.2", "G": "s1.1.2", "I": "s1.1.2",
"K": "s1.1.2"}
]
wall_uvalues.extend(parkhome_wall_uvalues)
wall_uvalues_df = pd.DataFrame(wall_uvalues)
# This maps the descriptions in the EPC data to the descriptions in the RdSAP table
epc_wall_description_map = {
############################
# Cavity wall mappings
############################
"Cavity wall, as built, partial insulation": "Filled cavity",
"Cavity wall, filled cavity": "Filled cavity",
"Cavity wall, as built, no insulation": "Cavity as built",
"Cavity wall, as built, insulated": "Unfilled cavity with 100 mm external or internal insulation",
"Cavity wall, with external insulation": "Unfilled cavity with 100 mm external or internal insulation",
"Cavity wall, insulated": "Unfilled cavity with 100 mm external or internal insulation",
'Cavity wall, partial insulation': "Unfilled cavity with 50 mm external or internal insulation",
"Cavity wall,": "Cavity as built", # General case of cavity wall without further details
"Cavity wall, filled cavity and external insulation":
"Filled cavity with 100 mm external or internal insulation",
"Cavity wall, filled cavity and internal insulation":
"Filled cavity with 100 mm external or internal insulation",
"Cavity wall, with internal insulation": "Unfilled cavity with 100 mm external or internal insulation",
"Cavity wall, no insulation": "Cavity as built",
############################
# Solid brick wall mappings
############################
"Solid brick, as built, no insulation": "Solid brick as built",
"Solid brick, with internal insulation": "Stone/solid brick with 100 mm external or internal insulation",
"Solid brick, as built, insulated": "Stone/solid brick with 100 mm external or internal insulation",
"Solid brick, with external insulation": "Stone/solid brick with 100 mm external or internal insulation",
"Solid brick, as built, partial insulation": "Stone/solid brick with 50 mm external or internal insulation",
############################
# Timber frame wall mappings
############################
# These mappings are perhaps the most dubious due to the lack of timber options in the RdSAP table
"Timber frame, as built, insulated": "Timber frame with internal insulation",
"Timber frame, with additional insulation": "Timber frame with internal insulation",
"Timber frame, as built, partial insulation": "Timber frame as built",
"Timber frame, as built, no insulation": "Timber frame as built",
"Timber frame, with external insulation": "Timber frame with internal insulation",
############################
# Sandstone/limestones wall mappings
############################
"Sandstone or limestone, as built, no insulation": "Stone: sandstone or limestone as built",
"Sandstone or limestone, with internal insulation":
"Stone/solid brick with 100 mm external or internal insulation",
"Sandstone or limestone, as built, partial insulation": "Stone/solid brick with 50 mm external or internal "
"insulation",
"Sandstone, as built, no insulation": "Stone: sandstone or limestone as built",
"Sandstone or limestone, as built, insulated":
"Stone/solid brick with 100 mm external or internal insulation",
"Sandstone, as built, insulated": "Stone/solid brick with 100 mm external or internal insulation",
"Sandstone, with internal insulation": "Stone/solid brick with 100 mm external or internal insulation",
"Sandstone or limestone, with external insulation": "Stone/solid brick with 100 mm external or internal "
"insulation",
"Sandstone, with external insulation": "Stone/solid brick with 100 mm external or internal insulation",
"Sandstone, as built, partial insulation": "Stone/solid brick with 50 mm external or internal insulation",
############################
# Granite/whinstone wall mappings
############################
"Granite or whinstone, as built, no insulation": "Stone: granite or whinstone as built",
"Granite or whinstone, with internal insulation": "Stone/solid brick with 100 mm external or internal "
"insulation",
"Granite or whinstone, as built, partial insulation": "Stone/solid brick with 50 mm external or internal "
"insulation",
"Granite or whinstone, as built, insulated": "Stone/solid brick with 100 mm external or internal "
"insulation",
"Granite or whinstone, with external insulation": "Stone/solid brick with 100 mm external or internal "
"insulation",
############################
# System built wall mappings
############################
"System built, as built, no insulation": "System build as built",
"System built, as built, partial insulation": "System build with 50 mm external or internal insulation",
"System built, with internal insulation": "System build with 100 mm external or internal insulation",
"System built, with external insulation": "System build with 100 mm external or internal insulation",
"System built, as built, insulated": "System build with 100 mm external or internal insulation",
############################
# Cob wall mappings
############################
"Cob, as built": "Cob as built",
"Cob, with external insulation": "Cob with 100 mm external or internal insulation",
"Cob, with internal insulation": "Cob with 100 mm external or internal insulation",
'Cob,': "Cob as built",
############################
# Park home mappings
############################
"Park home wall, as built": "Park home as built",
"Park home wall, with external insulation": "Park home with additional insulation",
"Park home wall, with internal insulation": "Park home with additional insulation",
}

60
recommendations/recommendation_utils.py
View file

@ -1,7 +1,7 @@
from copy import deepcopy
from backend.Property import Property
from statistics import mean
import random
from recommendations.rdsap_tables import epc_wall_description_map, wall_uvalues_df, default_wall_thickness
def r_value_per_mm_to_u_value(depth_mm: int, r_value_per_mm: float):
@ -172,3 +172,61 @@ def get_uvalue_estimate(uvalue_estimates, property: Property, total_floor_area_g
return mean(
[x["median_thermal_transmittance"] for x in heated_rooms_filter if x["median_thermal_transmittance"]]
)
def apply_formula_s_5_1_1(is_granite_or_whinstone, is_sandstone_or_limestone, age_band):
"""
As the u-value table in https://bregroup.com/wp-content/uploads/2019/09/RdSAP_2012_9.94-20-09-2019.pdf
on page 19, certain u-values as indicated by an "a", should be populated using a formula as defined in section
S.5.1.1
"""
stone_wall_thickness = [x for x in default_wall_thickness if x["type"] == "stone"][0]
thickness = stone_wall_thickness["J_K_L"] if age_band in ["J", "L", "L"] else stone_wall_thickness[age_band]
if is_granite_or_whinstone:
return 3.3 - 0.002 * thickness
if is_sandstone_or_limestone:
return 3 - 0.002 * thickness
raise ValueError("This should only be called when is_granite_or_whinstone or is_sandstone_or_limestone is True")
def get_wall_u_value(clean_description, age_band, is_granite_or_whinstone, is_sandstone_or_limestone):
"""
Given some features about a wall, this function will query the wall u-value table and return the u-value
:param clean_description: Cleaned up description of the wall from the EPC data
:param age_band: age band of the property from the EPC data
:param is_granite_or_whinstone: Boolean indicating if the wall is made of granite or whinstone
:param is_sandstone_or_limestone: Boolean indicating if the wall is made of sandstone or limestone
:return:
"""
mapped_description = epc_wall_description_map[clean_description]
mapped_value = wall_uvalues_df[wall_uvalues_df["Wall_type"] == mapped_description][age_band].values[0]
if mapped_value == "a":
# The rdSap documentation indicateswe should use a formula to calculate the u-value
return float(
apply_formula_s_5_1_1(
is_granite_or_whinstone=is_granite_or_whinstone,
is_sandstone_or_limestone=is_sandstone_or_limestone,
age_band=age_band
)
)
if "b" in mapped_value:
potential_uvalue = float(mapped_value.replace("b", ""))
formula_uvalue = float(apply_formula_s_5_1_1(
is_granite_or_whinstone=is_granite_or_whinstone,
is_sandstone_or_limestone=is_sandstone_or_limestone,
age_band=age_band
))
return min(potential_uvalue, formula_uvalue)
if mapped_value == "s1.1.2":
return None
return float(mapped_value)