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almost completed the get_roof_u_values methodology
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Khalim Conn-Kowlessar
parent
aa64859706
commit
03451d0bc7
2 changed files with 226 additions and 0 deletions
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@ -82,6 +82,108 @@ def app():
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df = pd.DataFrame(cleaned_data["roof-description"])
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df = df[pd.isnull(df["thermal_transmittance"])]
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def get_u_value_from_s9(thickness, s9, is_loft, is_roof_room, is_thatched):
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"""Get the U-value from table S9 based on the insulation thickness."""
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if thickness in ["below average", "average", "above average", "none", None] or (
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not is_loft and not is_roof_room
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):
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return None
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elif thickness.endswith("+"):
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thickness = int(thickness[:-1])
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else:
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try:
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thickness = int(thickness)
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except ValueError:
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# If thickness is not a valid number (could be a string or None), return None
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return None
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# Determine the column to refer based on the roof type
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column = 'Thatched_roof_U_value_W_m2K' if is_thatched else 'Slates_or_tiles_U_value_W_m2K'
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# Get the correct U-value based on the insulation thickness
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return s9[s9['Insulation_thickness_mm'] >= thickness][column].iloc[0]
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def get_roof_u_value(description_dict, age_band, s9, s10):
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"""
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Determine the U-value for a roof based on the description dictionary and age band.
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We use table s9 is the insulation thickness was measured, otherwise we use table s10.
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Parameters:
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description_dict (dict): Dictionary containing the details of the roof description.
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age_band (str): The age band of the property.
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s9 (pd.DataFrame): The DataFrame representing table S9.
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s10 (pd.DataFrame): The DataFrame representing table S10.
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Returns:
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float: The determined U-value.
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"""
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# If there is a dwelling above, the U-value is 0
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if description_dict['has_dwelling_above']:
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return 0.0
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# Step 1: Try to get the U-value from table S9 based on the insulation thickness
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u_value = get_u_value_from_s9(
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thickness=description_dict['insulation_thickness'],
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s9=s9,
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is_loft=description_dict['is_loft'],
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is_roof_room=description_dict['is_roof_room'],
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is_thatched=description_dict['is_thatched']
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)
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if u_value is not None:
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return u_value
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# Step 2: If the U-value could not be determined from table S9, use table S10
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# Define the columns to be used based on the description details
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if description_dict['is_flat']:
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column = 'Flat_roof'
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elif description_dict['is_thatched']:
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if description_dict['is_roof_room']:
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column = 'Thatched_roof_room_in_roof'
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else:
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column = 'Thatched_roof'
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elif description_dict['is_roof_room']:
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column = 'Room_in_roof_slates_or_tiles'
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elif description_dict['is_pitched']:
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if description_dict['is_at_rafters']:
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column = 'Pitched_slates_or_tiles_insulation_at_rafters'
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else:
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column = 'Pitched_slates_or_tiles_insulation_between_joists_or_unknown'
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else:
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# Default to pitched roof with insulation between joists or unknown
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column = 'Pitched_slates_or_tiles_insulation_between_joists_or_unknown'
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# Get the U-value from table S10 based on the age band and the determined column
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u_value = s10.loc[s10['Age_band'].str.contains(age_band), column].values[0]
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return u_value
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from recommendations.rdsap_tables import age_bands
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z = pd.DataFrame(cleaned_data["roof-description"])
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z = z[pd.isnull(z["thermal_transmittance"])]
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z["insulation_thickness"].value_counts()
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z[z["insulation_thickness"] == "above average"]
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z.head(30).to_dict("records")
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for i, roof in enumerate(cleaned_data["roof-description"]):
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if roof["thermal_transmittance"] is not None or "Average thermal transmittance" in roof["clean_description"]:
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continue
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for ab in age_bands:
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value = float(
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get_roof_u_value(
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description_dict=roof,
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age_band=ab,
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s9=table_s9,
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s10=table_s10
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)
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)
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# We store a singular file however we could store the data under the following file path:
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# cleaned_epc_data/{component}/{original_description}/cleaned.bson
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# where component is one of the keys of cleaned_data. If we store it against the original data, this
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@ -92,8 +92,10 @@ age_band_data = [
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},
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]
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########################################################################################################################
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# As defined in the rdsap documentation on page 9
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# https://bregroup.com/wp-content/uploads/2019/09/RdSAP_2012_9.94-20-09-2019.pdf
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########################################################################################################################
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default_wall_thickness = [
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{
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"type": "stone", "A": 500, "B": 500, "C": 500, "D": 500, "E": 450, "F": 420, "G": 420, "H": 420,
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@ -125,8 +127,10 @@ default_wall_thickness = [
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},
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]
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########################################################################################################################
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# This wall u-value table is defined in the rdsap documentation on page 19
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# https://bregroup.com/wp-content/uploads/2019/09/RdSAP_2012_9.94-20-09-2019.pdf
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########################################################################################################################
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wall_types = [
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"Stone: granite or whinstone as built",
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"Stone: sandstone or limestone as built",
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@ -305,3 +309,123 @@ epc_wall_description_map = {
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"Park home wall, with external insulation": "Park home with additional insulation",
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"Park home wall, with internal insulation": "Park home with additional insulation",
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}
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########################################################################################################################
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# These following tables define table s9 and s10 which are used to assign roofs with their assumed u-values.
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# The tables can be found on pages 23 and 24 of the BRE document
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# https://bregroup.com/wp-content/uploads/2019/09/RdSAP_2012_9.94-20-09-2019.pdf
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########################################################################################################################
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s9_list = [
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{"Insulation_thickness_mm": None, "Slates_or_tiles_U_value_W_m2K": 2.3, "Thatched_roof_U_value_W_m2K": 0.35},
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{"Insulation_thickness_mm": 12, "Slates_or_tiles_U_value_W_m2K": 1.5, "Thatched_roof_U_value_W_m2K": 0.32},
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{"Insulation_thickness_mm": 25, "Slates_or_tiles_U_value_W_m2K": 1.0, "Thatched_roof_U_value_W_m2K": 0.30},
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{"Insulation_thickness_mm": 50, "Slates_or_tiles_U_value_W_m2K": 0.68, "Thatched_roof_U_value_W_m2K": 0.25},
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{"Insulation_thickness_mm": 75, "Slates_or_tiles_U_value_W_m2K": 0.50, "Thatched_roof_U_value_W_m2K": 0.22},
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{"Insulation_thickness_mm": 100, "Slates_or_tiles_U_value_W_m2K": 0.40, "Thatched_roof_U_value_W_m2K": 0.20},
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{"Insulation_thickness_mm": 150, "Slates_or_tiles_U_value_W_m2K": 0.30, "Thatched_roof_U_value_W_m2K": 0.17},
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{"Insulation_thickness_mm": 200, "Slates_or_tiles_U_value_W_m2K": 0.21, "Thatched_roof_U_value_W_m2K": 0.14},
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{"Insulation_thickness_mm": 250, "Slates_or_tiles_U_value_W_m2K": 0.17, "Thatched_roof_U_value_W_m2K": 0.12},
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{"Insulation_thickness_mm": 270, "Slates_or_tiles_U_value_W_m2K": 0.16, "Thatched_roof_U_value_W_m2K": 0.12},
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{"Insulation_thickness_mm": 300, "Slates_or_tiles_U_value_W_m2K": 0.14, "Thatched_roof_U_value_W_m2K": 0.11},
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{"Insulation_thickness_mm": 350, "Slates_or_tiles_U_value_W_m2K": 0.12, "Thatched_roof_U_value_W_m2K": 0.10},
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{"Insulation_thickness_mm": 400, "Slates_or_tiles_U_value_W_m2K": 0.11,
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"Thatched_roof_U_value_W_m2K": 0.09},
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]
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s10_list = [
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{
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"Age_band": "A, B, C, D",
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"Pitched_slates_or_tiles_insulation_between_joists_or_unknown": "2.3",
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"Pitched_slates_or_tiles_insulation_at_rafters": "2.3",
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"Flat_roof": "2.3",
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"Room_in_roof_slates_or_tiles": "2.3",
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"Thatched_roof": 0.35,
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"Thatched_roof_room_in_roof": 0.25,
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"Park_home": None
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},
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{
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"Age_band": "E",
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"Pitched_slates_or_tiles_insulation_between_joists_or_unknown": "1.5",
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"Pitched_slates_or_tiles_insulation_at_rafters": "1.5",
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"Flat_roof": "1.5",
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"Room_in_roof_slates_or_tiles": "1.5",
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"Thatched_roof": 0.35,
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"Thatched_roof_room_in_roof": 0.25,
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"Park_home": None
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},
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{
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"Age_band": "F",
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"Pitched_slates_or_tiles_insulation_between_joists_or_unknown": "0.68",
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"Pitched_slates_or_tiles_insulation_at_rafters": "0.68",
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"Flat_roof": "0.68",
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"Room_in_roof_slates_or_tiles": "0.80",
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"Thatched_roof": 0.35,
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"Thatched_roof_room_in_roof": 0.25,
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"Park_home": 1.7
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},
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{
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"Age_band": "G",
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"Pitched_slates_or_tiles_insulation_between_joists_or_unknown": "0.40",
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"Pitched_slates_or_tiles_insulation_at_rafters": "0.40",
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"Flat_roof": "0.40",
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"Room_in_roof_slates_or_tiles": "0.50",
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"Thatched_roof": 0.35,
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"Thatched_roof_room_in_roof": 0.25,
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"Park_home": 0.6
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},
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{
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"Age_band": "H",
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"Pitched_slates_or_tiles_insulation_between_joists_or_unknown": "0.30",
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"Pitched_slates_or_tiles_insulation_at_rafters": "0.35",
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"Flat_roof": "0.35",
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"Room_in_roof_slates_or_tiles": "0.35",
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"Thatched_roof": 0.35,
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"Thatched_roof_room_in_roof": 0.25,
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"Park_home": None
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},
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{
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"Age_band": "I",
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"Pitched_slates_or_tiles_insulation_between_joists_or_unknown": "0.26",
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"Pitched_slates_or_tiles_insulation_at_rafters": "0.35",
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"Flat_roof": "0.35",
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"Room_in_roof_slates_or_tiles": "0.35",
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"Thatched_roof": 0.35,
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"Thatched_roof_room_in_roof": 0.25,
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"Park_home": 0.35
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},
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{
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"Age_band": "J",
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"Pitched_slates_or_tiles_insulation_between_joists_or_unknown": "0.16",
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"Pitched_slates_or_tiles_insulation_at_rafters": 0.20,
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"Flat_roof": 0.25,
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"Room_in_roof_slates_or_tiles": 0.30,
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"Thatched_roof": 0.30,
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"Thatched_roof_room_in_roof": 0.25,
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"Park_home": None
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},
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{
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"Age_band": "K",
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"Pitched_slates_or_tiles_insulation_between_joists_or_unknown": "0.16",
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"Pitched_slates_or_tiles_insulation_at_rafters": 0.20,
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"Flat_roof": "0.25",
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"Room_in_roof_slates_or_tiles": "0.25",
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"Thatched_roof": "0.25",
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"Thatched_roof_room_in_roof": "0.25",
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"Park_home": 0.30
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},
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{
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"Age_band": "L",
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"Pitched_slates_or_tiles_insulation_between_joists_or_unknown": "0.16",
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"Pitched_slates_or_tiles_insulation_at_rafters": 0.18,
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"Flat_roof": 0.18,
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"Room_in_roof_slates_or_tiles": 0.18,
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"Thatched_roof": 0.18,
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"Thatched_roof_room_in_roof": 0.18,
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"Park_home": None
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}
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]
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table_s9 = pd.DataFrame(s9_list)
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table_s10 = pd.DataFrame(s10_list)
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