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Short answers on process heat, feedstocks, costs and carbon rules in chemical plants. To see them worked out with your own plant data, book a demo.
Carbonova connects reactor, furnace, boiler, utilities and energy data to CarbonOS, a platform of AI agents that calculates emissions by unit and by product, flags drift in steam, gas and electricity use, and ranks scenarios by cost per tonne of CO₂ avoided. Carbonova Build, in early access, adds process simulation with pinch analysis, advanced process control and soft sensors.
Mostly from burning fuel for process heat and steam, from reactions that release CO₂ or N₂O, as in ammonia and nitric acid production, and from purchased electricity. Chemicals are the largest industrial energy consumer, and more than half of the energy the sector takes in is used as feedstock rather than fuel (IEA, 2018).
Ammonia and nitric acid plants, hydrogen production above 25 tonnes a day and bulk organic chemicals above 100 tonnes a day are covered by the UK Emissions Trading Scheme. The UK Low Carbon Hydrogen Standard sets the bar for low-carbon hydrogen at 20 gCO₂e per MJ or less and counts methane released at the plant. UK-listed groups report against UK SRS on a comply-or-explain basis from 2027 (FCA, 2026).
Yes. From 1 January 2027 the UK CBAM puts a carbon price on imported fertiliser and hydrogen, and free UK ETS allocation for those goods starts to phase out from 2027, so UK producers and importers move towards the same carbon cost. That makes each tonne of CO₂ avoided worth more to a UK plant. Carbonova ranks fuel, feedstock and heat-recovery measures by cost per tonne avoided on the plant’s real data.
Using the plant’s real data, Carbonova Build runs pinch analysis on heat exchange and shows where rejected heat could preheat feeds or raise steam, and the CarbonOS planning agent ranks the options by cost per tonne of CO₂ avoided. The room is often large: between 20% and 50% of industrial energy input in the United States is lost as waste heat (US Department of Energy, 2008).
Asset Graph builds a digital twin of units, streams and energy flows, so Carbon Intelligence can assign steam, electricity and feedstock emissions to each product, using data from SCADA, meters and ERP systems such as SAP or Oracle. Proof Engine keeps the lineage and versioned emission factor behind every number, in line with the ISO 14064-3 verification standard, for customers and verifiers.
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