Title: The Effects of Payload Variance on Mine Haul Truck Energy Consumption,
Greenhouse Gas Emissions and Cost
Organisation: The University of Queensland
Duration: From 04 – November – 2013 To 28 – February – 2014
The data collected from truck payload management systems at various surface mines show that the payload variance is significant and must be considered in analysing the mine productivity, diesel energy consumption, greenhouse gas emissions and associated costs. This project investigated the effects of truck payload variance on diesel energy consumption, greenhouse gas emissions and their associated cost in surface mining operations. The significance of this investigation is to determine the energy and cost saving opportunities in haul truck operations. The rate of greenhouse gas emissions corresponding to diesel consumption by haul trucks is calculated according to the Global Warming Potential guidelines. The associated cost of greenhouse gas emissions and cost of diesel consumption are determined based on the presented models by US Energy Information Administration.
Outcomes and Benefits:
The results showed that the haul truck fuel consumption, greenhouse gas emissions and their costs non-linearly increase as the payload variance rises for all haul road friction and slope conditions.
In this the correlation between the payload and cost saving . This was independent of haul road condition and presents the amount of saving for different values of payload variance reduction.
The cost saving was calculated for an Australian surface mine as a case study. The analysis showed that up to 45% of the cost associated with fuel and CO2-e emissions is saveable by reducing payload standard deviation from 30 to 0.