What makes Chinese life cycle data trusted and usable globally?At #ACLCA2026, HiQLCD showed how localized, transparent and interoperable LCI data can represent China's supply chains - and strengthen LCA, EPD, PCF and Scope 3 decisions.#HiQLCD#LCA#CarbonFootprint#Scope3
#BATTERYDATA | #LCA#CARBONFOOTPRINT: China’s Lithium Battery Carbon Footprint Database v1.1.0 is live—519 LCI datasets covering 180 products, 15 major producing regions and the full value chain from minerals to battery packs.
Explore: https://t.co/HyJNfYUNWD
Meet our mascot: HiQ Cortex. 🐌
Also meet what it helps you do: go from 5 days to hours on LCA groundwork.
Ironic? Maybe. Effective? Also yes.
Cortex handles the data hunt, you keep 100% of the decisions. Same rigor, way less hunting.
Spain are world champions 🏆🇪🇸
We asked Cortex a different question: what's the carbon footprint behind their jerseys? 👕
No manual searching — Cortex finds the data, explains the drivers, delivers a clear report.
https://t.co/CwKbhgqxxz
Nobody talks about the carbon footprint of the ball.
We took one apart — properly.14 inputs. 340 grams. 2.318 kg CO₂e.
The outer PU panels alone are 34% of the whole footprint.
Made in Sialkot, every layer traceable to Ecoinvent 3.12.0.
Full technical report in the comment. ⚽
We asked an AI for Starship's carbon footprint.
It said no——
No launch vehicle inventories.
No direct dataset.
But with transparent assumptions, a credible estimate is still possible.
That's the biggest misconception about LCA:
The hard part isn't calculation.
It's data.