F1 · 2026-07-03 · status: implemented (D121 scorecard)
Fuel-share of delivered cost — the exposure metric nobody re-quantified
Of every dollar a customer pays for delivered energy, how many cents are indexed to a volatile commodity price? A metric this engine can compute natively — and, per the July 2026 research pass, one with no rigorous quantification anywhere since 2008.
1 · What the metric is
Every generation source splits its cost into parts that are fixed once built (capital recovery, fixed O&M) and parts that track a commodity market forever (fuel). Wind, solar, operating nuclear, geothermal, hydro, and storage sit almost entirely in the first bucket. Gas and coal sit heavily in the second: at $4/MMBtu, fuel is $30.40 of the $64 new-build combined-cycle LCOE in this project's own research values — 48% — and the share only grows as a plant ages past capital recovery.
Fuel-share of delivered cost aggregates that exposure across the whole mix, per year, per scenario: the fraction of the wholesale dollar that re-prices when Henry Hub moves. It turns "clean power is a hedge" from a slogan into a measurable, scenario-comparable quantity.
2 · Why it's volatile enough to matter
A 3× swing inside five years; 2022's spike was LNG/Europe-driven and the coupling is structural now. Coal, by contrast, barely moves ($1.96–2.54/MMBtu over the same window; SEDS CLEID) — which is why the metric's variance is almost entirely a gas story.
3 · The gap
The canonical treatment is Bolinger & Wiser (LBNL),
Renewable Energy as a Hedge Against Fuel Price Risk: locking
in gas price certainty via futures cost ~$0.50/MMBtu
over 10-year horizons — an implicit hedge premium for zero-fuel
generation of roughly $3–5/MWh. That work is
2008-era. A deliberate search (2026-07-03; see
docs/altitude_integration_plan.md §A.3) found no rigorous
2024–2026 re-quantification.
4 · The metric
| primary_quads(f, y) | The allocator's mix — already in every projection artifact's links. Quads × $/MMBtu × 10⁹ = fuel-indexed $B directly; no heat-rate needed in the numerator. |
| delivered_price(f, y) | EIA SEDS CLEID (coal) / NGEID (gas) histories through 2024, then compounded at the scenario's price-path rate. L1, snapshot committed. |
| wholesale(y) | The engine's per-year wholesale_avg diagnostic. |
docs/thesis_scorecard.md + webapp/data/scorecard.json).
First numbers, US default projection: ~17%
of wholesale dollars fuel-indexed in 2030; 13.9%
at 2050 on a flat real gas price, 25.5%
under a +5%/yr path. The clean-favored scenario shaves ~0.9pp off
either — structural de-indexing, measured.
5 · What it is not
Not a hedging model (no futures curves or basis risk — it measures exposure, not the cost of insuring it). Not hourly. Petroleum excluded (~0.1 Q). Biomass feedstock deliberately excluded (too heterogeneous to index). One line on a five-line scorecard, never a verdict by itself — high exposure is a risk posture some buyers rationally accept for speed.
Sources: research/generation/natural_gas.md + coal.md (heat rates, price anchors, SEDS histories); committed projection artifacts (mix, wholesale); Bolinger & Wiser, LBNL (hedge premium); docs/altitude_integration_plan.md §A.3 (the 2026-07-03 search). Related: docs/mythbusters.md M2.