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Slice 4 of the lighting generator (ADR-0023): run recommend_lighting in _candidate_recommendations (no planning gate). Price low_energy_lighting in the offline catalogue + contingency table (0.26, the legacy rate); the _GENERATOR_MEASURE_TYPES forcing test enforces both. A run_modelling test pins the wiring end-to-end (an incandescent-lit dwelling gets the LED upgrade in the optimised package). Downstream updates, all because lighting now fires on any cert with non-LED bulbs: report.py gains the low_energy_lighting trigger (the non-LED counts); the two golden-cert report tests and the multi-measure integration test now expect low_energy_lighting alongside the fabric measures (the sample/golden EPCs lodge low-energy-unknown bulbs); first-run integration seeds a low_energy_lighting MaterialRow. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
14 lines
689 B
JSON
14 lines
689 B
JSON
{
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"cavity_wall_insulation": { "unit_cost_per_m2": 18.5 },
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"loft_insulation": { "unit_cost_per_m2": 12.0 },
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"sloping_ceiling_insulation": { "unit_cost_per_m2": 40.0 },
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"flat_roof_insulation": { "unit_cost_per_m2": 60.0 },
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"suspended_floor_insulation": { "unit_cost_per_m2": 25.0 },
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"solid_floor_insulation": { "unit_cost_per_m2": 45.0 },
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"mechanical_ventilation": { "unit_cost_per_m2": 450.0 },
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"external_wall_insulation": { "unit_cost_per_m2": 100.0 },
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"internal_wall_insulation": { "unit_cost_per_m2": 90.0 },
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"double_glazing": { "unit_cost_per_m2": 600.0 },
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"secondary_glazing": { "unit_cost_per_m2": 510.0 },
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"low_energy_lighting": { "unit_cost_per_m2": 8.0 }
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}
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