• Review of Energy Efficient Truck Haulage Options using Battery-Trolley Systems
    編號:25 稿件編號:193 訪問權限:僅限參會人 更新:2022-05-13 15:11:48 瀏覽:397次 口頭報告

    報告開始:2022年05月26日 16:40 (Asia/Shanghai)

    報告時間:20min

    所在會議:[S5] Intelligent Equipment and Technology [S5-1] Intelligent Equipment and Technology-1

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    摘要
    Truck haulage takes up the majority of the total energy consumption in open-pit mines. Facing the global decarbonisation upgrading of hauling systems, it is critical to examine the factors that contribute to the energy-efficiency of truck haulage, such as payload, rolling resistance and operators. Among the emerging technological options developed to reduce energy consumption for lower carbon footprint mining systems, innovative trolley-assist technology presents a promising one. From its application cases, trolley-assist has demonstrated great potential for emission reduction, although some teething problems are also encountered. With continuous improvement efforts, the problems have been gradually resolved. Battery technology advancements are shaping the evolvement of trolley-assist from diesel-battery hybrid truck based patterns towards purely electrified battery truck based ones. Battery-trolley is novel and capable to achieve further significant emission cut for surface mining operations associated with safety, productivity and operational improvements. However, it faces challenges in automating the battery charging/swapping and dispatching of the trucks, which requires more research endeavours to get tackled. This article reviews the critical factors affecting energy efficiency of truck haulage, emerging technologies for improvements with trolley-assist being focused on, and gives a forecast over the future intelligent low-carbon electric truck hauling systems in open-pit mines.
    關鍵字
    Energy-Efficiency,Haulage Operations,Trolley-Assist,Battery-Trolley,Intelligent Open-Pit Mines
    報告人
    Haiming BAO
    The University of Queensland

    稿件作者
    Haiming Bao The University of Queensland
    Peter Knights The University of Queensland
    Gaofeng Wang China University of Mining and Technology
    Mehmet Kizil The University of Queensland
    Micah Nehring The University of Queensland
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