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The PV onsite/export β-split (SAP 10.2 Appendix M1 §3a, p.93) divides PV generation by the monthly PV-eligible electricity demand D_PV,m. The cascade included main and water electricity (when those fuels are electric) but had no term for SECONDARY space heating. For the 10 cohort-2 gas-main + electric-secondary + PV certs, the (215)m secondary electric fuel was dropped from D_PV,m — understating demand in the heating months only, depressing the monthly β, and under-crediting onsite PV primary energy. Spec: Appendix M1 §3a counts E_space,m as the dwelling's TOTAL electric space-heating demand; for a gas-main/electric-secondary dwelling that is the secondary fuel. Diagnosis was decisive: E_PV (generation) matched the worksheet exactly every month, the onsite (233a) split diverged ONLY in heating months (Jun-Sep near-exact), and all 10 affected certs have PV while all clean gas certs have none. Empirically adding (215)m to D_PV closed cert 3136 onsite 726.9 → 790.3 (worksheet 792.1). Impact (calc − full-precision dr87 worksheet), the 10 certs: PE +0.5..+1.5 → +0.02..+0.046 kWh/m²; CO2 −0.5..−1.1 → +0.002..+0.0095 kg. The whole 47-cert cohort now matches at PE <0.05 / CO2 <0.025. SAP integers unchanged; chain SAP 1e-4 pins intact (164 pass). The uniform ~0.03 PE remnant on PV certs is the separate (233a)/(233b) summer-month D_PV discrepancy. Re-pinned the 10 worksheet + 9 lodged golden residuals (improvements). 2273 pass, 0 regressions; pyright net-zero (file's 32 errors pre-existing). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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| .. | ||
| addresses | ||
| data_transformation | ||
| epc | ||
| fuel_rates | ||
| geospatial | ||
| property | ||
| property_baseline | ||
| sap10_calculator | ||
| sap10_ml | ||
| tasks | ||
| postcode.py | ||