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Resiliency & Operations

Tritium Plant FMEA

Failure modes of breeding, extraction, and accountancy for the ~4 kg/yr tritium class and ~1.97 kg/yr helium-3 outputs.

STRATEGY / SLOW ▲ ▼ MICROSECOND REAL-TIMEL7Ecosystem & Strategytelemetry ▲ control ▼open ▸L6Experience & Visualizationtelemetry ▲ control ▼open ▸L5Applications & Copilotstelemetry ▲ control ▼open ▸L4Orchestrationtelemetry ▲ control ▼open ▸L3Twin Modeling & AItelemetry ▲ control ▼open ▸L2Data Fabrictelemetry ▲ control ▼open ▸L1Control Planetelemetry ▲ control ▼open ▸L0Foundationtelemetry ▲ control ▼open ▸PHYSICAL S.M.A.R.T. GENERATOR PLANTBREEDER · HYPERION1R0 1.2 m · A 2.5 · 16.84 T · δ −0.30BURNER · TANDEM MIRROR2317 T throat · 26.49 T plug · fₙ 5.44% · DEC1 center stack + plasma · 2 high-field plug · 3 expander → direct converterCOLOR GRAMMAR strategy AI-workflow infra/data models reactor/DECLINE SEMANTICStelemetry (µs)controlKRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORMASTER BLUEPRINTSHEET 01REV. 2026-08L0-L7 · 2 MACHINES
The AI-Native S.M.A.R.T. Generator Master Blueprint — eight layers (L0→L7), one control stack, wired to both machines. Telemetry rises in microseconds; control descends the same path.

The fuel cycle is a plant

The breeder (Hyperion) is valued for its products: a ~4 kg/yr tritium class output, ~1.97 kg/yr helium-3, and 14 MeV neutrons. That makes the breeding blanket, tritium extraction, and isotope accountancy a plant in their own right, with their own failure modes. The tritium breeding ratio is a design lever across 1.1/1.5/1.8, so the fuel-cycle FMEA is sensitive to which point is chosen.

Mode x (S, effect)
Blanket coolant fault9breeding loss, thermalExtraction inefficiency7tritium inventory driftContainment permeation9inventory loss, safetyAccountancy sensor drift6mass-balance errorLithium supply interruption6breeding feedstock

Accountancy is safety-critical

Tritium is regulated as byproduct material, so mass-balance accountancy is both an operational and a compliance function. An undetected accountancy drift is high-detection-difficulty because it is silent - it does not trip anything - which raises its RPN even at moderate severity. Sensor fusion across neutron yield, extraction flow, and inventory closes the balance.

python
def mass_balance(bred, extracted, inventory_delta, tol):
    # bred - extracted should equal change in held inventory within tolerance
    residual = bred - extracted - inventory_delta
    return abs(residual) <= tol, residual   # flag if out of balance

TBR lever and resiliency

Choosing a higher TBR (toward 1.8) buys margin against breeding-chain faults but stresses the blanket; a lower TBR (1.1) is leaner but less fault-tolerant. Resiliency treats the lever as an input to the availability model, not a fixed number. Slow-degradation modes feed predictive maintenance. Pre-FOAK the scores derive from blanket simulation, not an operating fuel cycle.

Content reviewed August 2026 · design-and-simulation stage