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07f534ee11
Add the system tune-up to the heating Recommendation: keep the existing wet boiler but install better heating controls and fix the cylinder. Two competing Options (the Optimiser picks <=1 across the whole heating rec) per the user's two best control end-states: - system_tune_up — standard controls (programmer + room thermostat + TRVs, SAP 10.2 Table 4e code 2106) - system_tune_up_zoned — time-and-temperature zone control (code 2110, type 3): more SAP uplift for more cost Both keep the boiler (no fuel / SAP code / flue change), set the control ABSOLUTELY to their end-state, and apply the conditional cylinder fixes (an 80 mm jacket when under-insulated, a thermostat when absent — only when a cylinder exists). Each control option is offered only when it genuinely improves the existing control — standard is skipped when the control is already 2106 / 2110 / 2112, zone when already 2110 / 2112 — so neither is ever a downgrade or a no-op. Validated against the Elmhurst "system tune up" re-lodgements (cert 001431): nine befores spanning controls 2101-2113 all converge to the two common afters, proving the control overlay is absolute. The cascade pin is parametrised over two starting controls (2101 "no control" + 2113 "room thermostat and TRVs") x both afters, delta 0 (SAP/CO2/PE). Wires the two MeasureTypes through contingencies (0.15), the offline catalogue (500 / 900), the catalogue-coverage list, the report triggers, and the ARA first-run seed. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
"""Per-Measure-Type contingency rates.
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The one cost component carried separately from a Product's fully-loaded total
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(CONTEXT.md). Mirrors the legacy `recommendations/Costs.py::Costs.CONTINGENCIES`;
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extended as each measure type lands.
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"""
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_CONTINGENCY_RATES: dict[str, float] = {
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"cavity_wall_insulation": 0.10,
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"loft_insulation": 0.10,
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"sloping_ceiling_insulation": 0.10,
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"flat_roof_insulation": 0.10,
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"suspended_floor_insulation": 0.20,
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"solid_floor_insulation": 0.26,
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"mechanical_ventilation": 0.26,
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"external_wall_insulation": 0.26,
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"internal_wall_insulation": 0.26,
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"double_glazing": 0.15,
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"secondary_glazing": 0.15,
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"low_energy_lighting": 0.26,
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"high_heat_retention_storage_heaters": 0.10,
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"air_source_heat_pump": 0.25,
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"gas_boiler_upgrade": 0.26,
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"system_tune_up": 0.15,
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"system_tune_up_zoned": 0.15,
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"solar_pv": 0.15,
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}
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def contingency_rate(measure_type: str) -> float:
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"""Return the contingency rate for a Measure Type, raising if unknown
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(strict — do not silently default, per the repo's strict-raise convention)."""
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try:
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return _CONTINGENCY_RATES[measure_type]
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except KeyError as exc:
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raise ValueError(
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f"no contingency rate configured for measure type {measure_type!r}"
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) from exc
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