Decision-Grade Techno-Economic Analysis (TEA) for Large-Scale Clean Energy

• At what electricity price does parity become policy-dependent and therefore non-durable?
• At what utilization threshold does the asset become structurally unfinanceable?
• Which 45V compliance constraint triggers the first non-recoverable credit-value loss?
• What condition, once crossed, cannot be reversed economically through optimization?

Hydrogen parity exists within a narrow viability window where utilization and policy-aligned credit realization must hold simultaneously.

• Credit-tier cliff risk from matching strategy assumptions
• Delivered-cost collapse from utilization loss even when modeled LCOH appears competitive

• At what lipid price does HEFA permanently lose cost leadership with no recovery path?
• Which SAF pathways remain viable after removing policy stacking assumptions?
• What conditions force SAF pathways into direct competition with food or chemical markets?
• Which threshold breach converts parity from conditional to non-recoverable failure?

SAF parity is feedstock-governed and can become economically irreversible once lipid escalation breaches margin-preserving thresholds.

• Feedstock volatility eliminating viability windows faster than base-case models imply
• Credit-dependent parity that fails under haircut, sunset, or eligibility constraints

• At what combined efficiency threshold does PtL lose viability regardless of further optimization?
• How do electricity, DAC cost, and synthesis losses stack multiplicatively to erase parity?
• Which subsystem failure (power, DAC, synthesis) collapses pathway viability first?
• What dependency must remain true simultaneously for PtL to stay financeable?

PtL viability is exposed to multiplicative fragility: one weak subsystem can invalidate the full pathway even when others perform.

• Utilization mismatch across electrolysis, carbon supply, and synthesis units
• Apparent parity that depends on synchronized best-case assumptions

• At what utilization does electrolyzer CAPEX become unrecoverable?
• At what degradation trajectory do financing assumptions become non-viable?
• Which cost reductions move system-level LCOH rather than component-level narratives?
• When does intermittent operation force irreversible replacement-cycle economics?

Electrolyzer economics are bankability-constrained: utilization and degradation define whether CAPEX recovery remains financeable.

• Stack-only narratives that ignore BOP and replacement-cycle burden
• Cycling assumptions that understate degradation-driven collapse thresholds

• What production volume is required before announced cost curves become decision-relevant?
• At what yield loss or scrap rate do unit economics become non-recoverable?
• Which supply-chain bottleneck creates the first irreversible deployment failure?
• When does localization raise cost faster than learning can offset?

Scale-up claims fail when throughput, yield, and supply constraints break assumed learning trajectories before cost parity is reached.

• Learning curves that ignore throughput and quality-yield constraints
• Capacity announcements that overstate deployable output under supply stress

• Which pathways remain viable if policy support is reduced, delayed, or re-scoped?
• At what credit haircut or timing lag does project viability fail?
• Which policy-timing mismatch creates non-recoverable financing failure?
• Which compliance structures reduce cliff risk without eliminating upside?

Policy dependency is a structural risk: viability can fail immediately when timing, eligibility, or support assumptions are not realized.

• False robustness from full-credit realization assumptions
• Hidden cliff risk at eligibility and tier boundaries