Digital technologies for energy efficiency and decarbonization in mining

被引：2

作者：

Asa'd, O. ^{[1
]}

Levesque, M. ^{[2
]}

机构：

[1] NRCan CanmetMINING, Sudbury, ON, Canada

[2] NRCan CanmetMINING, Climate Chante Mitigat Team, Sudbury, ON, Canada

来源：

CIM JOURNAL | 2024年 / 15卷 / 01期

关键词：

Artificial intelligence (AI); Automation; Decarbonization; Digital technologies; Digital transformation; Digitalization; Energy efficiency; Internet of Things (IoT); Machine learning (ML); NEURAL-NETWORKS; THINGS IOT; INTERNET; VISION; TRENDS; MINES; MODEL;

D O I：

10.1080/19236026.2023.2203068

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

Several mining companies have set targets to decarbonize their operations by the year 2050. At the same time, there is pressure on the mining sector to increase the supply of minerals needed for clean energy technologies. Digital technologies such as automation, artificial intelligence, machine learning, and the Internet of Things are reshaping the way the mining sector works. This literature review identifies examples of current digital technologies implemented in mining operations and highlights their reported benefits. Although several benefits were reported, mining companies tend to focus on safety, productivity, and cost. Energy and greenhouse gas reductions are commonly overlooked, despite having the potential to shrink the mining carbon footprint. Quantifying the energy and greenhouse gas emission reductions achieved through implementation of digital technologies could strengthen the business case to enhance their adoption and help the mining sector reach decarbonization goals.

引用

页码：1 / 20

页数：20