A comprehensive investigation of loading variance influence on fuel consumption and gas emissions in mine haulage operation  

作　　者：Soofastaei A. Aminossadati S.M. Kizil M.S. Knights P. Soofastaei A.;Aminossadati S.M.;Kizil M.S.;Knights P.(School of Mechanical and Mining Engineering,University of Queensland)

机构地区：[1]School of Mechanical and Mining Engineering,University of Queensland

出　　处：《International Journal of Mining Science and Technology》2016年第6期995-1001,共7页矿业科学技术学报（英文版）

基　　金：CRC Mining and the University of Queensland for their financial support for this study

摘　　要：The data collected from haul 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. The aim of this study is to determine the energy and cost saving opportunities for truck haulage operations associated with the payload variance in surface mines. The results indicate that there is a non-linear relationship between the payload variance and the fuel consumption, greenhouse gas emissions and associated costs. A correlation model, which is independent of haul road conditions, has been developed between the payload variance and the cost saving using the data from an Australian surface coal mine. The results of analysis for this particular mine show that a significant saving of fuel and greenhouse gas emissions costs is possible if the standard deviation of payload is reduced from the maximum to minimum value.The data collected from haul 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, The aim of this study is to determine the energy and cost saving opportunities for truck haulage operations associated with the payload variance in surface mines, The results indicate that there is a non-linear relationship between the payload variance and the fuel consumption, greenhouse gas emissions and associated costs, A correlation model, which is independent of haul road conditions, has been developed between the payload variance and the cost saving using the data from an Australian surface coal mine. The results of analysis for this particular mine show that a significant saving of fuel and greenhouse gas emissions costs is possible if the standard devi- ation of payload is reduced from the maximum to minimum value.

关 键 词：Energy consumption Haul truck Surface mine Greenhouse gas emissions Cost 

分 类 号：TD50[矿业工程—矿山机电]