Lightning Talk: Data Science - What Can Go Wrong with Carbon Footprint Calculations
summary
A high-resolution carbon-footprint monitoring solution is built and tested for chemical products but hits a hard limit: scope 1 and 2 process and energy emissions are trackable with primary utility data and simple machine learning, yet 70% of emissions come from upstream raw materials. The chemical industry standardization effort (BASF-led methodology, 2021) helps, but lack of supplier digital maturity and missing supply-chain data from many SMEs prevents precise per-product footprinting, so estimates remain necessary.
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chapters (5)
- 0:00Start
- 0:39Short Intro to GHG emissions
- 2:50CASE: the Chemical Industry
- 3:11How does it work in the Chemical Indu
- 4:54Where Data Science Does Work...
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