Performance is only half the story. TEA prices every candidate from raw material composition, equipment sizing, CapEx/OpEx factors and end-of-life & recycling economics, folding them into one net-value score.
The five costing modules
Raw materials — composition × commodity prices.
Equipment sizing — using the six-tenths power-law rule (cost ∝ (size / base_size)^0.6), matching standard chemical-industry practice.
Recycling & end-of-life value — end-of-life credit for material recovery.
How to use it
Standalone: enter or load a candidate set, price it, read the cost breakdown.
In the pipeline: run the cost-aware optimizer so candidates are ranked by net value alongside performance, stability and selectivity — the loop every scale-up decision needs.
Reading the output
Each candidate reports cost per unit, breakdown by module, and the net-value score. Use the breakdown to see whether a candidate is expensive because of raw materials (chemistry problem) or equipment (scale problem) — they have very different remedies.