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Operating value optimization using simulation and mixed integer programming
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.
School of Mechanical and Mining Engineering, The University of Queensland.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0002-2306-9241
2014 (English)In: International Journal of Mining, Reclamation and Environment, ISSN 1748-0930, E-ISSN 1748-0949, Vol. 28, no 1, p. 25-46Article in journal (Refereed) Published
Abstract [en]

Mining operations around the world will increasingly need to operate at greater depths. This significantly influences the complexity of ore extraction and ore transportation to the surface. The increase in mine depth leads to increases in haulage distance from mine areas to the mine surface. This results in an increase in energy costs to haul material further. Due to the increasing cost of future operations, the choice of the haulage method becomes an important factor in the optimization of the mine plan. The haulage process is one of the most energy intensive activities in a mining operation, and thus, one of the main contributors to energy cost. This paper presents the comparison of the operating values of the mine plans at depth levels of 1,000, 2,000, and 3,000 meters for diesel and electric trucks, shaft and belt conveyor haulage systems for the current and a predicted future energy price scenario. The aim is to analyze the impact of energy requirements associated with each haulage method, as well as the use of alternative sequencing techniques as mine depth increases. This study is carried out using a combination of discrete event simulation and mixed integer programming as a tool to improve decision making in the process of generating and optimizing the mine plans. Results show that energy cost increases across each haulage method at both current and future energy prices, with increasing depth. This study thus provides a broad and up to date analysis of the impact on operating values that may be experienced with the use of the main haulage systems available at present. Also, the study shows how the combination of discrete event simulation and mixed integer programming generates a good tool for decision support.

Place, publisher, year, edition, pages
2014. Vol. 28, no 1, p. 25-46
National Category
Other Civil Engineering
Research subject
Mining and Rock Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-16123DOI: 10.1080/17480930.2013.768019ISI: 000329688200003Scopus ID: 2-s2.0-84892459080Local ID: fb316762-8b80-42d0-b89c-4f817a006177OAI: oai:DiVA.org:ltu-16123DiVA, id: diva2:989099
Note
Validerad; 2014; 20130402 (abusal)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Salama, AbubakaryGreberg, Jenny

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