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When two main heating systems heat different parts of a dwelling, SAP 10.2 §7 (PDF p.186) adapts the mean-internal-temperature calculation: - Table 9b weighted responsiveness: R = (1−(203))·R_sys1 + (203)·R_sys2. - Rest-of-dwelling temperature (90)m = weighted average of T2 computed under EACH system's control schedule, weights (203)/[1−(91)] for sys2 and [1−(203)−(91)]/[1−(91)] for sys1 (or sys2's control alone when (203) ≥ 1−(91)). The cascade used Main 1's control + R=1.0 for the whole dwelling, over-stating MIT by +0.037 °C on simulated case 6 (Main 1 radiators/2106 type 2 living + Main 2 underfloor/2110 type 3 elsewhere, R 1.0/0.75). That inflated (97) heat loss by ~11 W → demand +61 kWh/yr. `mean_internal_temperature_monthly` gains `main_2_control_type`, `main_2_fraction`, `main_2_responsiveness`; cert_to_inputs derives them from the second main detail (gated on main_heating_fraction > 0, so single-main / DHW-only second mains pass the defaults → unchanged). Case 6: (87) living, (90) elsewhere, (98c) demand 11991.96 and per-system fuel (211)=7741.6458 / (213)=6995.3106 all match the worksheet to 1e-4. Re-pin: golden 0240 (same 2106/2110 archetype, API-only) — PE +2.1519 → +1.6893, CO2 +0.1051 → +0.0815 (both closer to zero; SAP 72 unchanged). Single-main certs unchanged (2360 pass + 0 fail). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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| data_transformation | ||
| epc | ||
| fuel_rates | ||
| geospatial | ||
| property | ||
| property_baseline | ||
| sap10_calculator | ||
| sap10_ml | ||
| tasks | ||
| postcode.py | ||