Optimal decarbonisation pathway for mining truck fleets  

作　　者：Gang Yu Xianming Ye Yuxiang Ye Hongxu Huang Xiaohua Xia 

机构地区：[1]Department of Electrical,Electronic and Computer Engineering,University of Pretoria,Pretoria 0002,South Africa [2]School of Economics and Finance,University of the Witwatersrand,Johannesburg 2000,South Africa [3]School of Information and Control Engineering,China University of Mining and Technology,Xuzhou 221116,China

出　　处：《Journal of Automation and Intelligence》2024年第3期129-143,共15页自动化与人工智能（英文）

基　　金：National Key R&D Program of China(Grant No.2021YFE0199000);National Natural Science Foundation of China(Grant No.62133015);National Research Foundation China/South Africa Research Cooperation Programme with Grant No.148762,and Royal Academy of Engineering Transforming Systems through Partnership grant scheme with reference No.TSP2021\100016.

摘　　要：The fossil fuel powered mining truck fleets can contribute up to 80%of total emissions in open pit mines.This study investigates the optimal decarbonisation pathway for mining truck fleets.Notably,our proposed pathway incorporates power generation,negative carbon technologies,and carbon trading.Technical,financial,and environmental models of decarbonisation technologies are established,capturing regional variations and time dynamic characteristics such as cost trends and carbon capture efficiency.The dynamic natures of characteristics pose challenges for using the cost-effective analyses approach to find the optimal decarbonisation pathway.To address this,we introduce a mixed-integer programming optimisation framework to find the decarbonisation pathway with minimum life cycle costs during the planning period.A case study for the optimal decarbonisation pathway of truck fleets in a South African coal mine is conducted to illustrate the applicability of the proposed model.Results indicate that the optimal decarbonisation pathway is significantly influenced by factors such as land cost,annual budget,and carbon trading prices.The proposed method provides invaluable guidance for transitioning towards a cleaner and more sustainable mining industry.

关 键 词：Coal mine Truck fleet Carbon emission Optimal decarbonisation pathway 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]