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Article
Improving Truck-Shovel Energy Efficiency through Discrete Event Modeling
Proceedings of the 2012 SME Annual Meeting and Exhibit (2012, Seattle, WA)
  • Kwame Awuah-Offei, Missouri University of Science and Technology
  • B.A. Osei
  • H. Askari-Nasab
Abstract

Energy efficiency has become significant due to cost and environmental considerations. Comminution and material handling have been identified as the two most energy intensive processes in mining. The objective of this work was to evaluate truck-shovel energy efficiency strategies using discrete event modeling. Energy audits and time and motion studies were conducted at a surface coal mine to acquire data. A discrete event simulation model of truck-shovel operations was built in Arena® and validated with the field data. The model was used to evaluate the effect of using a larger shovel, and optimizing truck-shovel matching on fuel efficiency. The results indicate that using a larger excavator increases the fuel efficiency of the operation while optimizing truck-shovel matching does not. However, using a larger shovel will lead to under-utilization of the shovel. This work shows the potential benefits of using discrete event simulation to model energy efficiency of mining operations. Copyright © 2012 by SME.

Meeting Name
2012 SME Annual Meeting and Exhibit, SME 2012 (2012: Feb. 19-22, Seattle, WA)
Department(s)
Mining Engineering
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2012 Society for Mining, Metallurgy & Exploration Inc. (SME), All rights reserved.
Publication Date
2-22-2012
Publication Date
22 Feb 2012
Disciplines
Citation Information
Kwame Awuah-Offei, B.A. Osei and H. Askari-Nasab. "Improving Truck-Shovel Energy Efficiency through Discrete Event Modeling" Proceedings of the 2012 SME Annual Meeting and Exhibit (2012, Seattle, WA) (2012)
Available at: http://works.bepress.com/kwame-awuah-offei/25/