Complex, interdependent physics must meet strict economic targets, and small uncertainties at bench scale can become expensive problems at plant scale. A disciplined approach—grounded in market requirements, guided by tight model–experiment feedback, and explicit about risk—enables teams to make informed decisions at every stage of scale-up.
In this video, we explore how to:
- Translate market demands into clear, measurable performance targets such as current density, efficiency and pressure drop
- Use sensitivity analysis to focus effort on the variables that most affect cost per kilogram
- Build minimal physics-based models that capture kinetics, transport effects and ohmic losses
- Design experiments specifically to reduce the largest technical uncertainties
- Scale cautiously, integrating repeat units early while avoiding premature large prototypes
- Treat risk as a tracked deliverable, with defined retirement plans tied to commercial impact
Together, these principles support confident progression from first experiments to commercially viable industrial systems.
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