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: Chinaโs Lithium Battery Carbon Footprint Database v1.1.0 is liveโ519 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. ๐
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 ๐๐ช๐ธ
We asked Cortex a different question: what's the carbon footprint behind their jerseys? ๐
No manual searching โ 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 โ properly.14 inputs. 340 grams.ย 2.318 kg COโe.
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. โฝ
We asked an AI for Starship's carbon footprint.
It said noโโ
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.