Simulation of payload variance effects on truck bunching to minimise energy consumption and greenhouse gas emissions

摘要: Data collected from truck payload management systems at various surface mines shows that the variance is significant and must be considered in analysing mine productivity, energy consumption greenhouse gas emissions. Payload variance, causes differences gross vehicle weights. Heavily loaded trucks travel slower up ramps than lightly trucks. Faster are slowed by presence of trucks, resulting ‘bunching’, production losses increasing fuel consumptions. This paper simulates bunching phenomena large to improve shovel systems’ efficiency, minimise reduce The study concentrated on completing a practical simulation model based discrete event method which most commonly used this field research other industries. rate emissions corresponding diesel haul calculated according global warming potential guidelines. has been validated dataset Arizona state, USA. results have shown there good agreement between actual estimated values investigated parameters. utilised real site central Queensland, Australia as case study. focus relationship due with average cycle time, hauled materials, indicated non-linear correlation mentioned In study, indicate reduction 15 minutes time possible if standard deviation reduced 30 down 5 tonnes. By reducing materials can increased 35 kt per day. Moreover, dramatically variance.