Article: Characteristics and models for energy improvements of cyclic transport operations in mining Journal: International Journal of Mining and Mineral Engineering (IJMME) 2024 Vol.15 No.5 pp.1 - 22 Abstract: There is a large potential for automation and optimisation of transports within quarrying and mining, but operational models and characteristics for this purpose are lacking. This paper aims to provide insight into cyclic transports and the parameters that affect energy consumption and productivity. Detailed operational data from machines has been collected and analysed through automatic logging of the machine's internal communication network. The paper presents and discusses the characteristics of the operation identified, develops models for energy consumption and productivity, and discusses their relation for optimisation and automation purposes. A conclusion is that stochastic fluctuations in activity times need continuous real-time control for an optimisation system to be effective. The method used in the paper resulted in regression models for cycle energy cost and hauler fuel rate, which provide both correlation and significance, which is promising for future validation and use in energy optimisation control systems. Inderscience Publishers - linking academia, business and industry through research

Title: Characteristics and models for energy improvements of cyclic transport operations in mining

Authors: David Rylander; Jakob Axelsson; Peter Wallin; Stefan Cedergren

Addresses: RISE Research Institutes of Sweden, Lindholmspiren 7, SE-417 56 Göteborg, Sweden; Mälardalen University, P.O. Box 883, SE-721 23 Västerås, Sweden ' RISE Research Institutes of Sweden, Lindholmspiren 7, SE-417 56 Göteborg, Sweden; Mälardalen University, P.O. Box 883, SE-721 23 Västerås, Sweden ' Boliden Mineral AB, Finnforsvägen 4, 936 32 Boliden, Sweden ' Hitachi Energy, Mäster Ahls Gata 16, 722 12, Västerås, Sweden

Abstract: There is a large potential for automation and optimisation of transports within quarrying and mining, but operational models and characteristics for this purpose are lacking. This paper aims to provide insight into cyclic transports and the parameters that affect energy consumption and productivity. Detailed operational data from machines has been collected and analysed through automatic logging of the machine's internal communication network. The paper presents and discusses the characteristics of the operation identified, develops models for energy consumption and productivity, and discusses their relation for optimisation and automation purposes. A conclusion is that stochastic fluctuations in activity times need continuous real-time control for an optimisation system to be effective. The method used in the paper resulted in regression models for cycle energy cost and hauler fuel rate, which provide both correlation and significance, which is promising for future validation and use in energy optimisation control systems.

Keywords: mining characteristics; transport optimisation; energy model; fuel model; energy optimisation; energy improvements; surface mining; lean construction; cyclic transport operations; fleet optimisation; automated machine guidance; AMG.

DOI: 10.1504/IJMME.2024.143780

International Journal of Mining and Mineral Engineering, 2024 Vol.15 No.5, pp.1 - 22

Received: 09 Feb 2024
Accepted: 09 Sep 2024
Published online: 06 Jan 2025 *

Title: Characteristics and models for energy improvements of cyclic transport operations in mining

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