Development of Integrated Models to Reduce Truck Fuel Consumption
Role
Project Manager
Budget
US$200,000
Annual Value / Savings
US$800,000
Annual Value Multiple
4.0x
Project context:
Open-pit haulage fuel consumption is driven by interacting variables including payload, grade, rolling resistance, speed, congestion, idling and operator behavior. The project translated these variables into decision-ready models.
Expanded objectives:
-
Integrate haulage datasets from truck telemetry, payload systems, fleet management records, route geometry and operating conditions.
-
Develop predictive models to quantify fuel consumption at cycle, route, equipment and fleet levels.
-
Identify the most controllable drivers of fuel intensity, including payload distribution, speed discipline, idling, road condition and grade exposure.
-
Provide scenario analysis for dispatching, road maintenance and operating-parameter adjustments.
-
Build a practical reporting structure for energy performance, unit cost and emissions-reduction opportunities.
Value delivered:
Supported more informed mine-haulage decisions and improved visibility of the operational causes of truck fuel intensity.