Default demand_kwh = 1518 (annualised) so dad's hourly P1 passes through unscaled
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1 changed files with 7 additions and 4 deletions
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@ -322,10 +322,13 @@ app = Flask(__name__)
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DEFAULTS = dict(
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DEFAULTS = dict(
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# Window: 2025-01-01 → 2025-09-01 (8 months of dad's actual data with
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# Window: 2025-01-01 → 2025-09-01 (8 months of dad's actual data with
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# matching 2025 prices + solar). Net consumption over those 8 months
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# matching 2025 prices + solar). The simulator scales demand by
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# is 1010 kWh; setting demand_kwh = 1010 gives scale factor 1.0 so the
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# demand_kwh / ANNUAL_DEMAND_BASE; ANNUAL_DEMAND_BASE annualises the
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# P1 series passes through unscaled.
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# 8-month window's 1010 kWh → 1518 kWh-equivalent/yr, so set the
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demand_kwh=1010.0, retail=0.25, pv_kwp=0.0, pv_yield=875.0,
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# default to 1518 to keep the per-hour P1 values unscaled (scale = 1.0).
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# Dad's actual full-year net is 2351 kWh (from his complete CSV) — so
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# using 1518 effectively represents 'an 8-month-extrapolated 2025 year'.
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demand_kwh=1518.0, retail=0.25, pv_kwp=0.0, pv_yield=875.0,
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fixed_rate=False, saldering=False, eta=0.88, inflation=0.03,
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fixed_rate=False, saldering=False, eta=0.88, inflation=0.03,
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export_rate=-0.106,
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export_rate=-0.106,
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)
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)
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