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Slice S0380.72: HW PE/CO2 via Table 12d/12e monthly cascade (ASHP cohort follow-on)

Browse source 
S0380.71 closed STANDARD-tariff electric MAIN heating PE/CO2 via the
monthly Table 12d/12e cascade. The same spec rule applies to HOT
WATER but the cascade still hardcoded the annual flat factors at
`cert_to_inputs.py:3697-3699` (CO2) and `:3826-3828` (PE), plus the
§12 / §13a section helpers. This slice extends the spec-citation fix
to HW.

Per SAP 10.2 Table 12d (p.195) and Table 12e (p.196) headers:
  "Where electricity is the fuel used, the relevant set of factors
  in the table below should be used to calculate the monthly [CO2
  emissions / primary energy] instead the annual average factor
  given in Table 12."

The rule applies to ALL electric end-uses regardless of tariff,
including the HW path. For electric HW (`water_heating_fuel=29` API
standard electricity → Table 12 code 30) the monthly cascade
weighted by `wh_result.output_monthly_kwh` (HW demand monthly
proxy) lands at ~0.140 CO2 / ~1.517 PE vs annual flat 0.136 / 1.501
on a HW demand profile.

Cohort closure (20 STANDARD-tariff ASHP certs):
  Mean PE residual: −0.66 → −0.36 kWh/m² (≈+0.30 closure per cert)
  Worst cert 9796:  −1.36 → −1.08 PE / −0.005 → −0.002 CO2 t/yr

Cumulative S0380.71 + S0380.72 closure for the ASHP cohort:
  Mean PE residual: −3.10 → −0.36 kWh/m² (8.6× compression)

Changes:
- NEW `_hot_water_co2_factor_kg_per_kwh(epc, hw_monthly_kwh)` helper
  — electric HW fuel → monthly Table 12d cascade; non-electric HW
  fuel → annual Table 12 factor.
- NEW `_hot_water_primary_factor(epc, hw_monthly_kwh)` helper — PE
  mirror per Table 12e.
- `cert_to_inputs` `hot_water_co2_factor_kg_per_kwh` /
  `hot_water_primary_factor` fields routed through the new helpers
  (was annual flat `co2_factor_kg_per_kwh` / `primary_energy_factor`).
- `environmental_section_from_cert` (§12) + `primary_energy_section_
  from_cert` (§13a) section helpers updated to read the cert_to_inputs
  HW factor fields rather than recomputing annual flat — keeps the
  worksheet line refs in sync with the cascade.
- Imports: add `PRIMARY_ENERGY_FACTOR`, `_DEFAULT_CO2_KG_PER_KWH`,
  `_DEFAULT_PEF` from `table_12` for the helpers' degenerate paths.

Tests:
- `test_electric_water_heating_co2_and_pe_factors_apply_monthly_
  table_12d_12e` — pins electric HW > annual flat by the winter-
  weighting margin.
- `test_gas_water_heating_co2_and_pe_factors_pass_through_annual_
  table_12` — pins mains-gas HW at 0.210 / 1.130 (Table 12 code 1
  annual factors).
- `test_golden_fixtures.py`: 20 ASHP cluster cert pins updated to
  the post-S0380.72 residuals; other certs unchanged.

Baseline: 546 pass + 9 expected `test_sap_result_pin[000565-*]`
cascade-gap fails. Pyright net-zero on every touched file.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
Khalim Conn-Kowlessar 2026-05-29 12:10:24 +00:00 • committed by Jun-te Kim
parent 95df0d8ac8
commit b1f33cd27f
3 changed files with 194 additions and 39 deletions
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92
domain/sap10_calculator/rdsap/cert_to_inputs.py
View file

@ -85,6 +85,9 @@ from domain.sap10_calculator.tables.pcdb.postcode_weather import (
from domain.sap10_calculator.tables.table_12 import (
API_FUEL_TO_TABLE_12,
CO2_KG_PER_KWH,
PRIMARY_ENERGY_FACTOR,
_DEFAULT_CO2_KG_PER_KWH, # pyright: ignore[reportPrivateUsage]
_DEFAULT_PEF, # pyright: ignore[reportPrivateUsage]
co2_monthly_factors_kg_per_kwh,
co2_factor_kg_per_kwh,
pe_monthly_factors_kwh_per_kwh,
@ -1538,6 +1541,70 @@ def _main_heating_primary_factor(
return high_frac * high_factor + (1.0 - high_frac) * low_factor
def _hot_water_co2_factor_kg_per_kwh(
epc: EpcPropertyData,
hw_monthly_kwh: tuple[float, ...],
) -> float:
"""SAP 10.2 Table 12 / 12d (p.195) per-end-use CO2 factor for the
cert's lodged water-heating fuel. HW-side analog of
`_main_heating_co2_factor_kg_per_kwh` (Slice S0380.71) +
`_secondary_heating_co2_factor_kg_per_kwh` (Slice S0380.70).
Per Table 12d header (p.195): "Where electricity is the fuel
used, the relevant set of factors in the table below should be
used to calculate the monthly CO2 emissions instead the annual
average factor given in Table 12." → electric HW fuels apply the
monthly Table 12d cascade weighted by the cert's HW demand profile
(mirroring the worksheet's monthly weighting); non-electric HW
fuels (mains gas, oil, etc.) pass through the annual Table 12
factor.
`hw_monthly_kwh` is the monthly HW demand profile (proxy for
monthly HW fuel kWh — the calculator uses an annual-flat HW
efficiency so the SHAPE of fuel monthly is identical to demand
monthly, and `_effective_monthly_co2_factor` is shape-only)."""
fuel = _water_heating_fuel_code(epc)
if fuel is None:
return _DEFAULT_CO2_KG_PER_KWH
table_12_code = (
fuel if fuel in CO2_KG_PER_KWH
else API_FUEL_TO_TABLE_12.get(fuel, fuel)
)
monthly = _effective_monthly_co2_factor(hw_monthly_kwh, table_12_code)
if monthly is not None:
return monthly
return co2_factor_kg_per_kwh(fuel)
def _hot_water_primary_factor(
epc: EpcPropertyData,
hw_monthly_kwh: tuple[float, ...],
) -> float:
"""SAP 10.2 Table 12 / 12e (p.196) per-end-use PE factor for the
cert's lodged water-heating fuel. PE-side mirror of
`_hot_water_co2_factor_kg_per_kwh`. Per Table 12e header (p.196):
electric HW fuels apply the monthly Table 12e cascade; non-
electric HW fuels pass through the annual Table 12 factor.
Cohort closure context: cert 9796 (ASHP, water_heating_fuel=29 API
standard electricity → Table 12 code 30) lands at 1.5177 monthly-
weighted PE vs 1.501 annual flat (≈ +0.30 kWh/m² for the cert).
Same routing across the 20-cert STANDARD-tariff ASHP cohort
averages ~+0.3 kWh/m² closure on top of the S0380.71 main heating
fix."""
fuel = _water_heating_fuel_code(epc)
if fuel is None:
return _DEFAULT_PEF
table_12_code = (
fuel if fuel in PRIMARY_ENERGY_FACTOR
else API_FUEL_TO_TABLE_12.get(fuel, fuel)
)
monthly = _effective_monthly_pe_factor(hw_monthly_kwh, table_12_code)
if monthly is not None:
return monthly
return primary_energy_factor(fuel)
def _secondary_fuel_code(epc: EpcPropertyData) -> int:
"""SAP 10.2 secondary fuel code, resolved through the API mapper's
Appendix M Table 4a spec-fuel routing. When no `secondary_fuel_type`
@ -1997,8 +2064,6 @@ def environmental_section_from_cert(
main = _first_main_heating(epc)
main_fuel = _main_fuel_code(main)
main_factor = co2_factor_kg_per_kwh(main_fuel)
water_fuel = _water_heating_fuel_code(epc)
water_factor = co2_factor_kg_per_kwh(water_fuel)
# Compute per-end-use CO2. For electricity end-uses, monthly Table 12d
# cascade Σ(kWh_m × CO2_m); for gas end-uses, annual_kwh × annual factor.
@ -2010,10 +2075,13 @@ def environmental_section_from_cert(
secondary_co2 = er.secondary_fuel_kwh_per_yr * (
secondary_eff if secondary_eff is not None else 0.0
)
water_co2 = er.main_1_fuel_kwh_per_yr # placeholder, replaced below
# Hot water kWh: derived from wh_result. Recompute via cert_to_inputs path.
# Hot water kWh: derived from wh_result via cert_to_inputs.
full_inputs = cert_to_inputs(epc, postcode_climate=postcode_climate)
water_co2 = full_inputs.hot_water_kwh_per_yr * water_factor
water_co2 = full_inputs.hot_water_kwh_per_yr * (
full_inputs.hot_water_co2_factor_kg_per_kwh
if full_inputs.hot_water_co2_factor_kg_per_kwh is not None
else 0.0
)
# Electric shower (264a) — distinct line ref when present.
electric_shower_co2 = (
@ -2104,15 +2172,13 @@ def primary_energy_section_from_cert(
main = _first_main_heating(epc)
main_fuel = _main_fuel_code(main)
main_pe = primary_energy_factor(main_fuel)
water_fuel = _water_heating_fuel_code(epc)
water_pe = primary_energy_factor(water_fuel)
main_1 = er.main_1_fuel_kwh_per_yr * main_pe
main_2 = er.main_2_fuel_kwh_per_yr * main_pe
secondary_pe_factor = _secondary_heating_primary_factor(
epc, er.secondary_fuel_monthly_kwh,
)
secondary = er.secondary_fuel_kwh_per_yr * secondary_pe_factor
water = full_inputs.hot_water_kwh_per_yr * water_pe
water = full_inputs.hot_water_kwh_per_yr * full_inputs.hot_water_primary_factor
electric_shower = (
full_inputs.electric_shower_kwh_per_yr
* (full_inputs.electric_shower_primary_factor or 0.0)
@ -3694,8 +3760,9 @@ def cert_to_inputs(
secondary_heating_co2_factor_kg_per_kwh=_secondary_heating_co2_factor_kg_per_kwh(
epc, energy_requirements_result.secondary_fuel_monthly_kwh,
),
hot_water_co2_factor_kg_per_kwh=co2_factor_kg_per_kwh(
_water_heating_fuel_code(epc)
hot_water_co2_factor_kg_per_kwh=_hot_water_co2_factor_kg_per_kwh(
epc,
wh_result.output_monthly_kwh if wh_result is not None else (0.0,) * 12,
),
pumps_fans_co2_factor_kg_per_kwh=_effective_monthly_co2_factor(
_days_in_month_proportioned(pumps_fans_kwh, _DAYS_IN_MONTH),
@ -3757,8 +3824,9 @@ def cert_to_inputs(
main, _rdsap_tariff(epc),
energy_requirements_result.main_1_fuel_monthly_kwh,
),
hot_water_primary_factor=primary_energy_factor(
_water_heating_fuel_code(epc)
hot_water_primary_factor=_hot_water_primary_factor(
epc,
wh_result.output_monthly_kwh if wh_result is not None else (0.0,) * 12,
),
other_primary_factor=primary_energy_factor(30), # standard electricity
# SAP 10.2 Table 12e (p.195) per-end-use effective PE factors. Same

87
domain/sap10_calculator/rdsap/tests/test_cert_to_inputs.py
View file

@ -1009,6 +1009,93 @@ def test_standard_meter_ashp_main_heating_primary_factor_applies_monthly_table_1
)
def test_electric_water_heating_co2_and_pe_factors_apply_monthly_table_12d_12e() -> None:
# Arrange — RdSAP cert with electric water heating
# (`water_heating_fuel=29` API standard electricity → Table 12
# code 30). Pre-S0380.72 the cascade hardcoded annual flat
# `co2_factor_kg_per_kwh(29)` = 0.136 and
# `primary_energy_factor(29)` = 1.501 for the HW factor fields.
# Per SAP 10.2 Table 12d (p.195) and Table 12e (p.196) header text
# the spec rule applies to ALL electric end-uses regardless of
# tariff: "Where electricity is the fuel used, the relevant set
# of factors in the table below should be used to calculate the
# monthly [CO2 emissions / primary energy] instead the annual
# average factor given in Table 12." S0380.72 wires the HW factor
# fields through `_hot_water_co2_factor_kg_per_kwh` and
# `_hot_water_primary_factor` so the monthly Table 12d/12e cascade
# weighted by HW demand applies.
epc = make_minimal_sap10_epc(
total_floor_area_m2=_TYPICAL_TFA_M2,
habitable_rooms_count=3,
region_code="1",
dwelling_type="Detached bungalow",
sap_building_parts=[
make_building_part(
floor_dimensions=[
make_floor_dimension(
total_floor_area_m2=_TYPICAL_TFA_M2, floor=0,
),
],
),
],
sap_heating=make_sap_heating(
water_heating_fuel=29, # API standard electricity
main_heating_details=[
MainHeatingDetail(
has_fghrs=False, main_fuel_type=29, heat_emitter_type=1,
emitter_temperature=1, main_heating_control=2106,
main_heating_category=4, sap_main_heating_code=224,
),
],
),
)
# Act
inputs = cert_to_inputs(epc)
# Assert — HW monthly cascade lands above annual flat by the
# winter-weighting margin (HW demand is slightly winter-skewed:
# daily_hot_water_l_per_day_monthly is higher Dec/Jan than Jun/Jul
# per the SAP 10.2 HW demand model). Tight bound: strictly greater
# than annual flat, by at least the monthly cascade differential.
co2 = inputs.hot_water_co2_factor_kg_per_kwh
pe = inputs.hot_water_primary_factor
assert co2 is not None and co2 > 0.136 + 1e-4, (
f"expected monthly Table 12d cascade > 0.1361; got {co2}"
)
assert pe is not None and pe > 1.501 + 1e-4, (
f"expected monthly Table 12e cascade > 1.5011; got {pe}"
)
def test_gas_water_heating_co2_and_pe_factors_pass_through_annual_table_12() -> None:
# Arrange — RdSAP cert with mains-gas water heating
# (`water_heating_fuel=26` API mains gas → Table 12 code 1). Per
# Table 12d/12e headers the monthly cascade applies "Where
# electricity is the fuel used"; non-electric fuels keep the
# annual Table 12 factor (0.210 CO2 / 1.130 PE for mains gas).
main = _gas_boiler_detail(sap_main_heating_code=102)
epc = make_minimal_sap10_epc(
total_floor_area_m2=_TYPICAL_TFA_M2,
habitable_rooms_count=4,
country_code="ENG",
sap_building_parts=[make_building_part()],
sap_heating=make_sap_heating(
water_heating_fuel=26, # API mains gas
main_heating_details=[main],
),
)
# Act
inputs = cert_to_inputs(epc)
# Assert — annual Table 12 factors for mains gas (code 1).
co2 = inputs.hot_water_co2_factor_kg_per_kwh
pe = inputs.hot_water_primary_factor
assert co2 is not None and abs(co2 - 0.210) <= 1e-4
assert pe is not None and abs(pe - 1.130) <= 1e-4
def test_dual_meter_ashp_main_heating_primary_factor_applies_table_12a_grid_1_split() -> None:
# Arrange — RdSAP 10 §12 page 62 Rule 1: HP without PCDB record →
# TEN_HOUR tariff. Table 12a Grid 1 (SH) ASHP_OTHER + TEN_HOUR =

54
domain/sap10_calculator/rdsap/tests/test_golden_fixtures.py
View file

@ -261,8 +261,8 @@ _EXPECTATIONS: tuple[_GoldenExpectation, ...] = (
cert_number="0380-2471-3250-2596-8761",
actual_sap=89,
expected_sap_resid=+0,
expected_pe_resid_kwh_per_m2=-0.1802,
expected_co2_resid_tonnes_per_yr=-0.0111,
expected_pe_resid_kwh_per_m2=+0.0504,
expected_co2_resid_tonnes_per_yr=-0.0077,
notes=(
"Mitsubishi PUZ-WM50VHA PCDB 104568, semi-detached bungalow "
"TFA 60.43 age D, PV 3 kWp + 5 kWh battery. Worksheet SAP "
@ -281,8 +281,8 @@ _EXPECTATIONS: tuple[_GoldenExpectation, ...] = (
cert_number="0350-2968-2650-2796-5255",
actual_sap=84,
expected_sap_resid=+0,
expected_pe_resid_kwh_per_m2=-0.6985,
expected_co2_resid_tonnes_per_yr=-0.0345,
expected_pe_resid_kwh_per_m2=-0.4632,
expected_co2_resid_tonnes_per_yr=-0.0294,
notes=(
"Mitsubishi PUZ-WM50VHA PCDB 104568, ASHP cohort cert with "
"PV + 5 kWh battery. Worksheet SAP 84.1367. Slice S0380.50 "
@ -293,8 +293,8 @@ _EXPECTATIONS: tuple[_GoldenExpectation, ...] = (
cert_number="2225-3062-8205-2856-7204",
actual_sap=89,
expected_sap_resid=+0,
expected_pe_resid_kwh_per_m2=-0.9922,
expected_co2_resid_tonnes_per_yr=-0.0179,
expected_pe_resid_kwh_per_m2=-0.6186,
expected_co2_resid_tonnes_per_yr=-0.0104,
notes=(
"Mitsubishi PUZ-WM50VHA PCDB 104568, ASHP cohort cert with "
"PV + 5 kWh battery. Worksheet SAP 88.7921. Slice S0380.50 "
@ -305,8 +305,8 @@ _EXPECTATIONS: tuple[_GoldenExpectation, ...] = (
cert_number="2636-0525-2600-0401-2296",
actual_sap=86,
expected_sap_resid=+0,
expected_pe_resid_kwh_per_m2=-1.0590,
expected_co2_resid_tonnes_per_yr=-0.0126,
expected_pe_resid_kwh_per_m2=-0.6641,
expected_co2_resid_tonnes_per_yr=-0.0047,
notes=(
"Mitsubishi PUZ-WM50VHA PCDB 104568, ASHP cohort cert with "
"PV + 5 kWh battery + 3.74 m² cantilever + 12.76 m² alt wall. "
@ -318,8 +318,8 @@ _EXPECTATIONS: tuple[_GoldenExpectation, ...] = (
cert_number="3800-8515-0922-3398-3563",
actual_sap=86,
expected_sap_resid=+0,
expected_pe_resid_kwh_per_m2=-0.7108,
expected_co2_resid_tonnes_per_yr=+0.0354,
expected_pe_resid_kwh_per_m2=-0.4553,
expected_co2_resid_tonnes_per_yr=+0.0405,
notes=(
"Mitsubishi PUZ-WM50VHA PCDB 104568, ASHP cohort cert with "
"PV + 5 kWh battery. Worksheet SAP 86.1458. Slice S0380.50 "
@ -330,8 +330,8 @@ _EXPECTATIONS: tuple[_GoldenExpectation, ...] = (
cert_number="9285-3062-0205-7766-7200",
actual_sap=84,
expected_sap_resid=+0,
expected_pe_resid_kwh_per_m2=-0.5156,
expected_co2_resid_tonnes_per_yr=-0.0505,
expected_pe_resid_kwh_per_m2=-0.2702,
expected_co2_resid_tonnes_per_yr=-0.0454,
notes=(
"Mitsubishi PUZ-WM50VHA PCDB 104568, ASHP cohort cert with "
"PV + 5 kWh battery. Worksheet SAP 84.1369. Slice S0380.50 "
@ -342,8 +342,8 @@ _EXPECTATIONS: tuple[_GoldenExpectation, ...] = (
cert_number="9418-3062-8205-3566-7200",
actual_sap=85,
expected_sap_resid=+0,
expected_pe_resid_kwh_per_m2=-1.0927,
expected_co2_resid_tonnes_per_yr=-0.0136,
expected_pe_resid_kwh_per_m2=-0.6590,
expected_co2_resid_tonnes_per_yr=-0.0058,
notes=(
"Daikin Altherma EDLQ05CAV3 PCDB 102421 (heating_duration "
"code '24' — continuous, all days at Th) + 5 kWh battery. "
@ -368,13 +368,13 @@ _EXPECTATIONS: tuple[_GoldenExpectation, ...] = (
# `sap worksheets/Additional data with api/`.
# ------------------------------------------------------------------
_GoldenExpectation(cert_number="0036-6325-1100-0063-1226", actual_sap=63, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=+0.4019, expected_co2_resid_tonnes_per_yr=+0.0255, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="0100-5141-0522-4696-3463", actual_sap=86, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=+0.0197, expected_co2_resid_tonnes_per_yr=+0.0223, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="0100-5141-0522-4696-3463", actual_sap=86, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=+0.2607, expected_co2_resid_tonnes_per_yr=+0.0275, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="0200-3155-0122-2602-3563", actual_sap=81, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=+0.9879, expected_co2_resid_tonnes_per_yr=-0.0097, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="0300-2403-2650-2206-0235", actual_sap=77, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=+0.5118, expected_co2_resid_tonnes_per_yr=+0.0442, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="0310-2763-5450-2506-3501", actual_sap=78, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=+0.4387, expected_co2_resid_tonnes_per_yr=+0.0149, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="0320-2126-2150-2326-6161", actual_sap=72, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.2060, expected_co2_resid_tonnes_per_yr=+0.0128, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="0320-2756-8640-2296-1101", actual_sap=90, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.7813, expected_co2_resid_tonnes_per_yr=+0.0221, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="0330-2257-3640-2196-3145", actual_sap=85, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.2015, expected_co2_resid_tonnes_per_yr=+0.0298, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="0320-2756-8640-2296-1101", actual_sap=90, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.4689, expected_co2_resid_tonnes_per_yr=+0.0300, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="0330-2257-3640-2196-3145", actual_sap=85, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=+0.0559, expected_co2_resid_tonnes_per_yr=+0.0349, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="0360-2266-5650-2106-8285", actual_sap=80, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=+0.2223, expected_co2_resid_tonnes_per_yr=-0.0171, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="0380-2530-6150-2326-4161", actual_sap=66, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.0893, expected_co2_resid_tonnes_per_yr=-0.0315, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="0390-2066-4250-2026-4555", actual_sap=65, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.2522, expected_co2_resid_tonnes_per_yr=+0.0005, notes="Cohort-2 baseline pin captured by S0380.69."),
@ -396,25 +396,25 @@ _EXPECTATIONS: tuple[_GoldenExpectation, ...] = (
# / CO2 +0.005 (lodged values are integer-rounded; rounding noise).
_GoldenExpectation(cert_number="2102-3018-0205-7886-5204", actual_sap=64, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=+0.1961, expected_co2_resid_tonnes_per_yr=+0.0048, notes="Cohort-2 baseline pin. House coal secondary — S0380.70 routed CO2/PE through `secondary_fuel_type` per SAP 10.2 Table 12d/12e headers, closed PE +20.36 → +0.20 and CO2 -0.79 → +0.005 (lodged values integer-rounded)."),
_GoldenExpectation(cert_number="2130-3018-4205-4686-5204", actual_sap=71, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=+0.4083, expected_co2_resid_tonnes_per_yr=-0.0357, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="2336-3124-3600-0517-1292", actual_sap=83, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.3366, expected_co2_resid_tonnes_per_yr=-0.0465, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="2536-2525-0600-0788-2292", actual_sap=80, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-1.0235, expected_co2_resid_tonnes_per_yr=-0.0290, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="2336-3124-3600-0517-1292", actual_sap=83, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.0793, expected_co2_resid_tonnes_per_yr=-0.0415, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="2536-2525-0600-0788-2292", actual_sap=80, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.6100, expected_co2_resid_tonnes_per_yr=-0.0245, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="2590-3025-7205-9066-0200", actual_sap=66, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.1309, expected_co2_resid_tonnes_per_yr=-0.0036, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="2699-3025-5205-8066-0200", actual_sap=69, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=+0.4755, expected_co2_resid_tonnes_per_yr=-0.0016, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="2800-7999-0322-4594-3563", actual_sap=78, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.2402, expected_co2_resid_tonnes_per_yr=-0.0082, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="2800-7999-0322-4594-3563", actual_sap=78, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=+0.0394, expected_co2_resid_tonnes_per_yr=-0.0050, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="3136-7925-4500-0246-6202", actual_sap=78, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=+0.2521, expected_co2_resid_tonnes_per_yr=-0.0486, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="3336-2825-9400-0512-8292", actual_sap=78, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.5933, expected_co2_resid_tonnes_per_yr=-0.0453, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="4536-5424-8600-0109-1226", actual_sap=82, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.5517, expected_co2_resid_tonnes_per_yr=-0.0106, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="3336-2825-9400-0512-8292", actual_sap=78, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.3519, expected_co2_resid_tonnes_per_yr=-0.0421, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="4536-5424-8600-0109-1226", actual_sap=82, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.3010, expected_co2_resid_tonnes_per_yr=-0.0056, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="4536-8325-3100-0409-1222", actual_sap=66, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.2794, expected_co2_resid_tonnes_per_yr=+0.0093, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="4800-3992-0422-0599-3563", actual_sap=87, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.5884, expected_co2_resid_tonnes_per_yr=-0.0453, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="4800-3992-0422-0599-3563", actual_sap=87, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.2102, expected_co2_resid_tonnes_per_yr=-0.0410, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="6835-3920-2509-0933-5226", actual_sap=80, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.1246, expected_co2_resid_tonnes_per_yr=-0.0238, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="7700-3362-0922-7022-3563", actual_sap=63, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.4141, expected_co2_resid_tonnes_per_yr=+0.0216, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="7800-1501-0922-7127-3563", actual_sap=65, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.0594, expected_co2_resid_tonnes_per_yr=+0.0440, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="7836-3125-0600-0526-2202", actual_sap=80, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=+0.3469, expected_co2_resid_tonnes_per_yr=+0.0164, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="9036-0824-3500-0420-8222", actual_sap=84, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.7641, expected_co2_resid_tonnes_per_yr=+0.0284, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="9370-3060-1205-3546-4204", actual_sap=88, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.4107, expected_co2_resid_tonnes_per_yr=-0.0115, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="9036-0824-3500-0420-8222", actual_sap=84, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.5121, expected_co2_resid_tonnes_per_yr=+0.0334, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="9370-3060-1205-3546-4204", actual_sap=88, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.2008, expected_co2_resid_tonnes_per_yr=-0.0062, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="9380-2957-7490-2595-3141", actual_sap=75, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=+0.4794, expected_co2_resid_tonnes_per_yr=-0.0245, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="9421-3045-3205-1646-6200", actual_sap=87, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-1.0893, expected_co2_resid_tonnes_per_yr=-0.0096, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="9796-3058-6205-0346-9200", actual_sap=90, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-1.3613, expected_co2_resid_tonnes_per_yr=-0.0048, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="9421-3045-3205-1646-6200", actual_sap=87, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.7426, expected_co2_resid_tonnes_per_yr=-0.0049, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="9796-3058-6205-0346-9200", actual_sap=90, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-1.0840, expected_co2_resid_tonnes_per_yr=-0.0016, notes="Cohort-2 baseline pin captured by S0380.69."),
_GoldenExpectation(cert_number="9836-7525-9500-0575-1202", actual_sap=75, expected_sap_resid=+0, expected_pe_resid_kwh_per_m2=-0.5524, expected_co2_resid_tonnes_per_yr=+0.0010, notes="Cohort-2 baseline pin captured by S0380.69."),
)