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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 5 tonnes a day and bulk organic chemicals above 100 tonnes a day are in the EU Emissions Trading System. Imported fertilisers and hydrogen have carried a CBAM obligation since 1 January 2026, and fertilisers carry a flat 1% mark-up on default values rather than the 10% to 30% schedule. Large companies also report under the CSRD as amended by Omnibus I.
Fertilisers and hydrogen are CBAM goods, so their free EU ETS allocation is being phased out: under current law it falls by 2.5% in 2026 and again in 2027, on a path to zero by 2034, while a July 2026 Commission proposal would slow that. With auction prices averaging €82.32 per tonne in the third quarter of 2026, each tonne avoided is worth more every year. Carbonova ranks the measures by cost per tonne.
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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