Early-stage TEA/LCA analysis for HEFA, lignocellulosic, and hybrid power-to-liquids (PtL) routes. The focus is on understanding the cost and carbon-intensity behavior of emerging SAF pathways through transparent system boundaries, hydrogen requirements, yield behavior, and energy-intensity drivers.
Scope of Work
- System-boundary definition for SAF TEA/LCA studies
- Feedstock modeling across lipid, lignocellulosic, waste, and synthetic routes
- Hydrogen-intensity analysis and energy-integration implications
- Carbon-intensity behavior across GWP-20 and GWP-100 time horizons
- Co-product treatment and allocation frameworks
- TRL and certification-boundary considerations (ASTM D7566)
Modeling Approach
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Boundary Clarity Explicit definition of inputs, outputs, and process scope, ensuring assumptions remain traceable and reproducible.
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Yield & Energy-Intensity Drivers Evaluation of conversion efficiencies, material balances, and utility requirements that shape minimum fuel-selling price (MFSP).
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Hydrogen Integration Structured sensitivity framing around electrolytic, biogenic, and fossil-integrated hydrogen sources.
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Scenario Construction Early-stage scenario design for compatible feedstocks, energy sources, and technology readiness levels.
Representative Work (Anonymized)
- Analytical support for early-stage SAF concepts integrating direct air capture, biogas upgrading, and hybrid PtL configurations
- Comparative carbon-intensity modeling for HEFA, FT, and AtJ routes using consistent system boundaries
- Sensitivity frameworks evaluating hydrogen demand, grid mix, carbon pricing, and co-product crediting
Focus Areas in Development
- Cross-pathway harmonization frameworks for SAF TEA/LCA studies
- Structured tools for MFSP drivers across heterogeneous literature
- Metrics connecting process design choices with certification boundaries
Insight Quantix applies lightweight, defensible modeling structures to support early-stage SAF feasibility, proposal development, and pathway definition.