生命周期评估,展示自动化如何提高地下采矿作业的可持续性绩效

IF 0.7 Q4 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
K. Moreau, Corey A Laamanen, R. Bose, H. Shang, J. A. Scott
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引用次数: 2

摘要

目前,全球在地下金属矿石开采中引入更多自动化的举措旨在提高运营生产率和安全性。采用比较生命周期评估(LCA)作为一种新方法,利用收集到的矿场生产率和能源消耗数据,确定自动化对环境绩效的有益影响。LCA研究了四个影响类别:全球变暖潜力、酸化、富营养化和人类毒性。当将自动化设备与传统的手动设备进行比较时,所有四种影响类别都随着自动化而减少,并随后改善了可持续性绩效。例如,在矿山寿命期内,全球变暖潜能值下降了18.3%,即每开采一吨矿石减少3.7千克二氧化碳当量。环境影响的减少主要是由于装载和运输过程中柴油消耗的减少,以及矿山使用寿命缩短了27%,从而减少了矿山和矿山营地的维护年限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Life cycle assessment to demonstrate how automation improves the sustainability performance of an underground mining operation
The worldwide move to introduce more automation into underground metal ore mining is currently aimed at improving both operational productivity and safety. A comparative life cycle assessment (LCA) was used as a novel approach to determine the beneficial impacts automation can also have on environmental performance, using data collected on mine site productivity and energy consumption. The LCA looked at four impact categories: global warming potential, acidification, eutrophication, and human toxicity. When comparing automated equipment to their traditional manual counterpart, all four impact categories experienced a reduction with automation and a subsequent improvement in sustainability performance. Global warming potential, for example, decreased by 18.3% over the mine life period, or 3.7 kg of carbon dioxide equivalent (CO2 eq.) per tonne of ore extracted. Environmental impact reductions were due primarily to lower diesel fuel consumption in the loading and haulage processes as well as a 27% shorter operational mine life leading to less years of mine and mine camp maintenance.
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来源期刊
Journal of Sustainable Mining
Journal of Sustainable Mining Earth and Planetary Sciences-Geology
CiteScore
1.50
自引率
10.00%
发文量
20
审稿时长
16 weeks
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