diff --git a/domain/sap10_calculator/rdsap/cert_to_inputs.py b/domain/sap10_calculator/rdsap/cert_to_inputs.py
index bd874ea3..6c23ccda 100644
--- a/domain/sap10_calculator/rdsap/cert_to_inputs.py
+++ b/domain/sap10_calculator/rdsap/cert_to_inputs.py
@@ -1419,35 +1419,50 @@ def _main_heating_co2_factor_kg_per_kwh(
     tariff: Tariff,
     main_fuel_monthly_kwh: tuple[float, ...],
 ) -> float:
-    """SAP 10.2 Table 12a Grid 1 (SH) + Table 12d (p.194) dual-rate
-    monthly CO2 factor for electric mains on off-peak tariffs.
+    """SAP 10.2 Table 12a Grid 1 (SH) + Table 12d (p.195) dual-rate
+    monthly CO2 factor for electric mains.
 
-    Mirrors `_space_heating_fuel_cost_gbp_per_kwh` on the CO2 side —
-    cert 000565 worksheet line 261 shows the spec calculation:
+    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 mains therefore route through
+    the monthly cascade Σ(F_m × CO2_m) regardless of tariff:
 
-      Main heating CO2 = high_frac × Σ(F_m × CO2^high_m) / Σ F_m × F_total
-                       + (1 - high_frac) × Σ(F_m × CO2^low_m) / Σ F_m × F_total
+    - **STANDARD tariff** — single Table 12d code 30 (standard
+      electricity) monthly factors weighted by the cert's
+      main_fuel_monthly_kwh profile. For an ASHP STANDARD-tariff cert
+      with a winter-peaked load this lands at ~0.151 vs the annual
+      flat 0.136 (Δ ≈ +0.015, ≈ +30 kg/yr CO2 per typical ASHP).
+    - **Dual-rate tariff** (off-peak / 10-hour / 18-hour / etc.) —
+      Table 12a Grid 1 SH high-rate fraction blends Table 12d high-
+      rate code + low-rate code monthly factors over the same profile.
+      For TEN_HOUR + ASHP_OTHER (Grid 1 high_frac=0.6) the worksheet
+      blends code 34 (10h high) and code 33 (10h low) → cert 000565
+      worksheet line 261 lands at 0.1533 kg/kWh (was 0.136 pre-S0380.65).
 
-    blended as a single effective factor × annual fuel for the
-    calculator's energy-rating output. For TEN_HOUR + ASHP_OTHER (Grid 1
-    high_frac=0.6) the worksheet blends Table 12d code 34 (10h high)
-    and code 33 (10h low) over the cert's main_1_fuel_monthly_kwh
-    profile → 0.6 × 0.1581 + 0.4 × 0.1460 = 0.1533 kg/kWh, vs the pre-
-    S0380.65 flat Table 12 code-30 annual factor 0.136 that hid ~579
-    kg/yr of HP CO2 on a winter-peaked load.
-
-    Fallback to `_co2_factor_kg_per_kwh` (annual Table 12) for:
-    - non-electric mains (gas, oil, LPG — pass-through)
-    - STANDARD tariff (no dual-rate routing per RdSAP 10 §12)
-    - mains without a Table 12a Grid 1 row yet (storage heaters, direct-
-      acting electric — TODO mirrors the cost-helper coverage gap)
-    - tariffs without a Table 12d split (EIGHTEEN_HOUR, TWENTY_FOUR_HOUR
-      — both fall through to code 30 monthly factors in the table)
+    Fallback to annual `_co2_factor_kg_per_kwh` for:
+    - non-electric mains (gas, oil, LPG — Table 12d only covers
+      electricity; non-electric uses the annual Table 12 factor per
+      the Table 12d header's "Where electricity is the fuel used"
+      scope restriction)
+    - dual-rate electric mains without a Table 12a Grid 1 row (storage
+      heaters, direct-acting electric — TODO mirrors the cost-helper
+      coverage gap)
+    - dual-rate tariffs without a Table 12d high/low split
+      (EIGHTEEN_HOUR, TWENTY_FOUR_HOUR fall through to single-code 30
+      via the STANDARD branch above)
     - zero-fuel cases (sum monthly_kwh == 0 → effective factor None;
       annual factor is the safe degenerate value)
     """
-    if not _is_electric_main(main) or tariff is Tariff.STANDARD:
+    if not _is_electric_main(main):
         return _co2_factor_kg_per_kwh(main)
+    if tariff is Tariff.STANDARD:
+        monthly = _effective_monthly_co2_factor(
+            main_fuel_monthly_kwh, _STANDARD_ELECTRICITY_FUEL_CODE,
+        )
+        if monthly is None:
+            return _co2_factor_kg_per_kwh(main)
+        return monthly
     system = _table_12a_system_for_main(main)
     if system is None:
         return _co2_factor_kg_per_kwh(main)
@@ -1466,6 +1481,63 @@ def _main_heating_co2_factor_kg_per_kwh(
     return high_frac * high_factor + (1.0 - high_frac) * low_factor
 
 
+def _main_heating_primary_factor(
+    main: Optional[MainHeatingDetail],
+    tariff: Tariff,
+    main_fuel_monthly_kwh: tuple[float, ...],
+) -> float:
+    """SAP 10.2 Table 12a Grid 1 (SH) + Table 12e (p.196) primary
+    energy factor for electric mains. PE-side mirror of
+    `_main_heating_co2_factor_kg_per_kwh`.
+
+    Per Table 12e header (p.196): "Where electricity is the fuel used,
+    the relevant set of factors in the table below should be used to
+    calculate the monthly primary energy instead the annual average
+    factor given in Table 12." Electric mains route through monthly
+    Σ(F_m × PE_m) regardless of tariff:
+
+    - **STANDARD tariff** — single Table 12e code 30 monthly factors
+      weighted by the cert's main_fuel_monthly_kwh. For a winter-
+      peaked ASHP load this lands at ~1.57 vs annual flat 1.501
+      (Δ ≈ +0.07, ≈ +2.7 kWh/m² PE per typical ASHP — closes the
+      S0380.70 cohort cluster of 20 STANDARD-tariff ASHPs at PE
+      residual −2.6 to −4.2 kWh/m²).
+    - **Dual-rate tariff** — Table 12a Grid 1 SH high-rate fraction
+      blends Table 12e high-rate / low-rate code monthly factors over
+      the profile. Mirror of the dual-rate CO2 path landed in
+      S0380.65 (cert 000565 ASHP+TEN_HOUR).
+
+    Fallback to annual `primary_energy_factor` for non-electric mains
+    and the same edge cases as the CO2 helper (no Table 12a row,
+    unknown dual-rate codes, zero-fuel)."""
+    fuel = _main_fuel_code(main)
+    if not _is_electric_main(main):
+        return primary_energy_factor(fuel)
+    if tariff is Tariff.STANDARD:
+        monthly = _effective_monthly_pe_factor(
+            main_fuel_monthly_kwh, _STANDARD_ELECTRICITY_FUEL_CODE,
+        )
+        if monthly is None:
+            return primary_energy_factor(fuel)
+        return monthly
+    system = _table_12a_system_for_main(main)
+    if system is None:
+        return primary_energy_factor(fuel)
+    try:
+        high_frac = space_heating_high_rate_fraction(system, tariff)
+    except NotImplementedError:
+        return primary_energy_factor(fuel)
+    codes = _TARIFF_HIGH_LOW_FUEL_CODES_TABLE_12.get(tariff)
+    if codes is None:
+        return primary_energy_factor(fuel)
+    high_code, low_code = codes
+    high_factor = _effective_monthly_pe_factor(main_fuel_monthly_kwh, high_code)
+    low_factor = _effective_monthly_pe_factor(main_fuel_monthly_kwh, low_code)
+    if high_factor is None or low_factor is None:
+        return primary_energy_factor(fuel)
+    return high_frac * high_factor + (1.0 - high_frac) * low_factor
+
+
 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`
@@ -3681,7 +3753,10 @@ def cert_to_inputs(
         secondary_heating_fuel_cost_gbp_per_kwh=_secondary_fuel_cost_gbp_per_kwh(
             epc.sap_heating, main, epc.sap_energy_source.meter_type, prices
         ),
-        space_heating_primary_factor=primary_energy_factor(main_fuel),
+        space_heating_primary_factor=_main_heating_primary_factor(
+            main, _rdsap_tariff(epc),
+            energy_requirements_result.main_1_fuel_monthly_kwh,
+        ),
         hot_water_primary_factor=primary_energy_factor(
             _water_heating_fuel_code(epc)
         ),
diff --git a/domain/sap10_calculator/rdsap/tests/test_cert_to_inputs.py b/domain/sap10_calculator/rdsap/tests/test_cert_to_inputs.py
index 2df7eb11..586feaf3 100644
--- a/domain/sap10_calculator/rdsap/tests/test_cert_to_inputs.py
+++ b/domain/sap10_calculator/rdsap/tests/test_cert_to_inputs.py
@@ -903,11 +903,18 @@ def test_dual_meter_ashp_main_heating_co2_factor_applies_table_12a_grid_1_split(
     )
 
 
-def test_standard_meter_ashp_main_heating_co2_factor_falls_back_to_annual_table_12() -> None:
-    # Arrange — same ASHP, but meter_type=2 (Standard) → no §12
-    # routing → no Table 12a Grid 1 split → annual Table 12 code-30
-    # factor 0.136 (pass-through). Pre- and post-S0380.65 behave
-    # identically for STANDARD tariff.
+def test_standard_meter_ashp_main_heating_co2_factor_applies_monthly_table_12d_code_30() -> None:
+    # Arrange — same ASHP as the dual-rate test but meter_type=2
+    # (Standard) → no Table 12a Grid 1 high/low split, but Table 12d
+    # header (p.195) still mandates the monthly cascade for ALL
+    # electric mains regardless of tariff: "Where electricity is the
+    # fuel used, the relevant set of factors in the table below
+    # should be used … instead the annual average factor given in
+    # Table 12." Pre-S0380.71 the helper fell back to annual flat
+    # 0.136 on STANDARD tariff — that masked ~+0.015 kg/kWh on the
+    # ASHP cohort (~30 kg/yr per cert). S0380.71 drops the annual
+    # fallback and applies monthly Table 12d code 30 (standard
+    # electricity) weighted by main_1_fuel_monthly_kwh.
     epc = make_minimal_sap10_epc(
         total_floor_area_m2=_TYPICAL_TFA_M2,
         habitable_rooms_count=3,
@@ -938,8 +945,113 @@ def test_standard_meter_ashp_main_heating_co2_factor_falls_back_to_annual_table_
     # Act
     inputs = cert_to_inputs(epc)
 
-    # Assert — annual flat 0.136 (Table 12 code 30).
-    assert inputs.main_heating_co2_factor_kg_per_kwh == 0.136
+    # Assert — monthly Table 12d cascade weighted by a winter-peaked
+    # HP load lands above the annual flat 0.136 (winter months 0.163
+    # > summer 0.111). Tight bound: must be strictly greater than
+    # annual flat by at least 0.005 (the winter weighting margin).
+    factor = inputs.main_heating_co2_factor_kg_per_kwh
+    assert factor is not None and factor > 0.136 + 0.005, (
+        f"expected monthly cascade > 0.141; got {factor}"
+    )
+
+
+def test_standard_meter_ashp_main_heating_primary_factor_applies_monthly_table_12e_code_30() -> None:
+    # Arrange — same ASHP STANDARD-tariff cert as above. Table 12e
+    # header (p.196) mirrors the Table 12d rubric: "Where electricity
+    # is the fuel used, the relevant set of factors in the table
+    # below should be used to calculate the monthly primary energy
+    # instead the annual average factor given in Table 12." Pre-
+    # S0380.71 the cascade hardcoded `primary_energy_factor(main_fuel)`
+    # = 1.501 annual flat at cert_to_inputs.py:3756. S0380.71 routes
+    # `space_heating_primary_factor` through `_main_heating_primary_
+    # factor` so monthly Table 12e code 30 cascade applies for
+    # STANDARD-tariff electric mains too — closes the 20-cert ASHP
+    # cohort cluster from PE residual −2.6 to −4.2 kWh/m² (per-cert
+    # +2.7 kWh/m² typical, sample cert 9796-3058-6205-0346-9200
+    # closes −4.18 → −1.48).
+    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,
+            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,
+                ),
+            ],
+        ),
+    )
+    epc.sap_energy_source.meter_type = 2  # type: ignore[assignment]  # Standard
+
+    # Act
+    inputs = cert_to_inputs(epc)
+
+    # Assert — monthly Table 12e cascade weighted by a winter-peaked
+    # HP load lands above the annual flat 1.501 (winter PE 1.602 >
+    # summer 1.410). Tight bound: > 1.501 + 0.04 (winter weighting
+    # margin for a meaningful HP load).
+    factor = inputs.space_heating_primary_factor
+    assert factor is not None and factor > 1.501 + 0.04, (
+        f"expected monthly Table 12e cascade > 1.541; got {factor}"
+    )
+
+
+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 =
+    # 0.6 high-rate fraction. Table 12e (PE) high-rate code 34 (10h
+    # high) + low-rate code 33 (10h low) monthly factors blend by
+    # main_1_fuel_monthly_kwh profile, mirroring the dual-rate CO2
+    # path landed in S0380.65. The blend lands above annual flat
+    # 1.501 by the high/low Table 12e differential.
+    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,
+            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,
+                ),
+            ],
+        ),
+    )
+    epc.sap_energy_source.meter_type = 1  # type: ignore[assignment]  # Dual → TEN_HOUR
+
+    # Act
+    inputs = cert_to_inputs(epc)
+
+    # Assert — dual-rate Table 12e blend above annual flat 1.501.
+    factor = inputs.space_heating_primary_factor
+    assert factor is not None and factor > 1.501 + 0.005, (
+        f"expected dual-rate Table 12e blend > 1.506; got {factor}"
+    )
 
 
 def test_house_coal_secondary_routes_to_annual_table_12_co2_and_pe_factors() -> None:
diff --git a/domain/sap10_calculator/rdsap/tests/test_golden_fixtures.py b/domain/sap10_calculator/rdsap/tests/test_golden_fixtures.py
index b5078fbe..df066143 100644
--- a/domain/sap10_calculator/rdsap/tests/test_golden_fixtures.py
+++ b/domain/sap10_calculator/rdsap/tests/test_golden_fixtures.py
@@ -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=-2.9633,
-        expected_co2_resid_tonnes_per_yr=-0.0548,
+        expected_pe_resid_kwh_per_m2=-0.1802,
+        expected_co2_resid_tonnes_per_yr=-0.0111,
         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=-2.8973,
-        expected_co2_resid_tonnes_per_yr=-0.0864,
+        expected_pe_resid_kwh_per_m2=-0.6985,
+        expected_co2_resid_tonnes_per_yr=-0.0345,
         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=-3.5393,
-        expected_co2_resid_tonnes_per_yr=-0.0726,
+        expected_pe_resid_kwh_per_m2=-0.9922,
+        expected_co2_resid_tonnes_per_yr=-0.0179,
         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=-3.2775,
-        expected_co2_resid_tonnes_per_yr=-0.0601,
+        expected_pe_resid_kwh_per_m2=-1.0590,
+        expected_co2_resid_tonnes_per_yr=-0.0126,
         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=-3.1623,
-        expected_co2_resid_tonnes_per_yr=-0.0165,
+        expected_pe_resid_kwh_per_m2=-0.7108,
+        expected_co2_resid_tonnes_per_yr=+0.0354,
         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=-2.7361,
-        expected_co2_resid_tonnes_per_yr=-0.1002,
+        expected_pe_resid_kwh_per_m2=-0.5156,
+        expected_co2_resid_tonnes_per_yr=-0.0505,
         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=-2.8890,
-        expected_co2_resid_tonnes_per_yr=-0.0483,
+        expected_pe_resid_kwh_per_m2=-1.0927,
+        expected_co2_resid_tonnes_per_yr=-0.0136,
         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=-2.3311, expected_co2_resid_tonnes_per_yr=-0.0314, 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="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=-2.9435, expected_co2_resid_tonnes_per_yr=-0.0363, 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=-2.6609, expected_co2_resid_tonnes_per_yr=-0.0218, 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="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=-2.7961, expected_co2_resid_tonnes_per_yr=-0.0981, 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=-3.4839, expected_co2_resid_tonnes_per_yr=-0.0582, 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="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=-3.4448, expected_co2_resid_tonnes_per_yr=-0.0473, 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="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=-3.4645, expected_co2_resid_tonnes_per_yr=-0.0877, 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=-3.2123, expected_co2_resid_tonnes_per_yr=-0.0684, 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="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=-3.8280, expected_co2_resid_tonnes_per_yr=-0.0848, 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="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=-3.0984, expected_co2_resid_tonnes_per_yr=-0.0220, 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=-2.7546, expected_co2_resid_tonnes_per_yr=-0.0749, 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="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=-3.3687, expected_co2_resid_tonnes_per_yr=-0.0432, 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=-4.1762, expected_co2_resid_tonnes_per_yr=-0.0391, 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="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."),
 )