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Short answers on diesel, power, costs and carbon rules in mining. To see them worked out with your own mine data, book a demo.
Carbonova connects fleet, fuel-dispensing, energy-meter and processing-plant SCADA data to CarbonOS, a platform of AI agents that closes the Scope 1, 2 and 3 inventory, flags anomalies such as rising haul-truck idle time and ranks measures by cost per tonne of CO₂ avoided. The same dataset produces carbon reports for regulators, customers and investors, with an audit trail back to the source.
The two largest sources are usually diesel burned by haul trucks, loaders and generators and the electricity used for crushing and grinding, followed by explosives and, at some mines, methane. In a US Department of Energy reference study, grinding accounted for about 40% of the energy used in US mining and materials handling for 17% (DOE, 2007).
Mines emitting more than 100,000 tCO₂e a year are Safeguard Mechanism facilities, and their baselines fall by 4.9% a year to 30 June 2030. Sites below that threshold may still report energy and emissions under NGER, and large companies report Scope 1, 2 and 3 emissions under AASB S2, which applied to Group 2 entities from reporting periods starting on or after 1 July 2026.
The facility must manage every tonne above its baseline, for example by surrendering Australian carbon credit units or Safeguard Mechanism Credits, and generic ACCUs ended the June 2026 quarter at a spot price of $37.95 (Clean Energy Regulator, 2026). Going below the baseline works the other way: the mine is issued SMCs it can sell. Carbonova tracks diesel and power emissions against the baseline each month and ranks the measures that close the gap.
Sentinel AI tracks fuel burn, idle time and load factor for each truck and flags drift, while the planning agent compares measures such as idle reduction, payload management, partial electrification and renewable power by cost per tonne of CO₂ avoided. Battery-electric haul trucks are still in field trials, so full fleet electrification is modelled as a long-term scenario rather than a baseline assumption.
Signal Ingest connects SCADA, ERP systems such as SAP or Oracle, energy meters, fleet IoT sensors and fuel and explosives purchase records, then normalises and versions the data. Proof Engine keeps each number’s lineage back to its source, with versioned emission factors and a change history, in line with the ISO 14064-3 verification standard, which makes third-party verification of the inventory easier.
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