HomeFuel ControlCO₂ emissions control based on actual fuel consumption

CO₂ emissions control based on actual fuel consumption

Accurate CO₂ calculation based on direct fuel consumption measurement with a DFM fuel flow meter. We cut fuel consumption, prevent theft, and obtain reliable CO₂ data for reporting – all in a single solution.

Heavy machinery is a major source of carbon dioxide emissions impacting the environment.
A machine consuming 35–40 liters of diesel per hour emits around 1,000 kg of CO₂ over a working day.

Many countries are now introducing mandatory requirements for disclosure and reduction of CO₂ emissions :

  • EU : CSRD/ESRS, ETS2 from 2027, HDV targets through 2040.
  • USA : EPA HDV Phase 3, investor demands on climate risk disclosure.
  • Asia : ISSB-aligned standards (JP/SG/HK/KR) from 2025–2026.
  • Latin America : Transition to mandatory disclosures (Brazil, Chile, Mexico).
Technoton’s solution for CO₂ monitoring and fuel control helps measure emissions and reduce your carbon footprint, while also cutting fuel consumption and extending equipment lifetime — ensuring compliance with environmental standards.
Benefits of Technoton’s solution

CO₂ emissions monitoring based on actual fuel consumption

Direct measurement of fuel consumption in engine fuel lines provides high accuracy of CO₂ emission calculations and detailed breakdown by shifts, operations and operating conditions.

Remote diagnostics and optimization of machine operation

Timely maintenance, prevention of fuel system failures and optimal machine operation reduce fuel consumption and the resulting CO₂ emissions.

Data integration into GLONASS and telematics systems

Information on fuel consumption and engine operating time in different load modes is integrated into fleet management systems and the company’s analytics tools.

⚙️ How CO₂ emissions monitoring works on machinery

The key element of the system is the DFM fuel flow meter, which accurately measures fuel consumption in engine fuel lines, logs engine operating time and enables real-time CO₂ emission calculation.

Fuel consumption and CO₂ emissions data from the measuring devices are transmitted to the CANUp telematics gateway, where a report is automatically generated and sent to the cloud system UNUM IIoT (or another platform):

Fuel consumption and CO₂ emissions

Total fuel consumption
Resettable fuel consumption
CO₂ emissions volume
Supply line fuel consumption
Return line fuel consumption
Average consumption over a period
Engine operating time
Total operating time
Idling time
Optimal load time
Overload time
Engine load modes
Load share in idle mode
Load share in optimal mode
Load share in overload mode
CO₂ emissions volume in idle, optimal and overload modes
Condition monitoring and anomaly detection
Instantaneous fuel consumption
Instantaneous consumption in supply line
Instantaneous consumption in return line
Instantaneous CO₂ emission volume
Alerts on excessive fuel consumption
CO₂ emissions reporting in GNSS and telematics systems

In GLONASS or telematics online software, CO₂ emission reports and charts are available, using the UNUM IIoT Solution as an example :

CO₂ emissions reporting in GNSS and telematics systems
CO₂ emissions reporting in GNSS and telematics systems
  • Fleet summary report – fuel consumption, engine operating hours and CO₂ emission volume for the entire fleet over a selected period.
  • Machine and shift reports – CO₂ emissions broken down by individual machines, trips and engine load modes (idle, optimal, overload).
  • Emission structure charts – comparison of departments and sites, share of idling and overload in total emissions.

Typical CO₂ emissions monitoring scenarios

Technoton’s solution is relevant for all types of diesel-powered machinery, and especially for machines with high fuel consumption, complex operating modes and strict CO₂ emission reporting requirements.

Mining machinery

Machines operate in harsh conditions with variable loads, and fuel consumption is unstable. Equipment is used around the clock in shifts.

Scenario : sand hauling by dump truck – CO₂ emissions per ton of cargo

  • Equipment : mining dump truck with 30 t payload.
  • Route: quarry → concrete plant, 12 km one way (24 km per trip).
  • Fuel consumption : 0.7 l/km × 24 km = 16.8 l per trip.
  • CO₂ emissions : 16.8 l × 2.64 kg/l = 44.4 kg per trip.
  • Per day (2 shifts, 600 tons) : 370 l of fuel, 975 kg of CO₂.
  • Average CO₂ emissions per ton of cargo: 975 kg CO₂ ÷ 600 t = 1.63 kg CO₂/t.

Agricultural machinery

The same type of machine is used with different implements for specific operations. Extended idling is common.

Scenario : winter wheat seeding with a tractor – CO₂ emissions per 1 ha

  • Equipment : 250 hp tractor with seed drill.
  • Field: 20 ha, passes of 500 m.
  • Fuel consumption : 12 l/ha × 20 ha = 240 l.
  • Total CO₂ emissions : 240 l × 2.64 kg/l = 634 kg.
  • CO₂ emissions per 1 ha: 634 kg CO₂ ÷ 20 ha = 31.7 kg CO₂/ha.

Vessels

Marine engines consume hundreds of liters per hour, and fleets must comply with strict international standards and environmental regulations.

Scenario: vessel berthing by tugboat – CO₂ emissions per shift and per operation

  • Equipment: harbor tug with two diesel engines, 1,500 kW each.
  • Operation duration : 1.2 hours.
  • Fuel consumption: 600 l/h × 1.2 h = 720 l per operation.
  • CO₂ emissions per operation : 720 l × 2.64 kg/l = 1,900 kg CO₂.
  • Per shift (2 operations) : 1,440 l of fuel, 3,800 kg CO₂.
  • Per day (2 shifts): 2,880 l of fuel, 7,600 kg CO₂.

Construction machinery

Excavators and bulldozers often operate with variable power in separate work cycles, frequently in urban environments.

Scenario: asphalt paving with paver – CO₂ emissions per 1 km of asphalt

  • Equipment: asphalt paver with 200 kW diesel engine.
  • Section: 500 m long, 7 m wide, 0.10 m layer thickness.
  • Mix mass: 840 tons at average asphalt concrete density.
  • Operation duration : 5 hours.
  • Fuel consumption : 50 l/h × 5 h = 250 l per operation.
  • Total CO₂ emissions per operation : 250 l × 2.64 kg/l = 660 kg.
  • Emissions per 1 km of asphalt: 660 kg CO₂ ÷ 0.5 km = 1,320 kg CO₂.

Read more :

    1. Fuel tank monitoring systems provide fuel tank monitoring feature
    2. Remote heavy equipment performance monitoring and fuel management system
    3. Fuel consumption monitoring for vehicles
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