Optimising Shovel-Truck Fuel Consumption using Stochastic Simulation
Keywords:
Simulation, Fuel Consumption, Optimisation, Arena®, Shovel-TruckAbstract
Fuel consumption of loading and hauling equipment contributes significantly to the operating cost of a mining enterprise. Hence, it is imperative to periodically analyse the operations of shovel-truck system to identify system inefficiencies and develop effective means of reducing fuel consumption. In this paper, a stochastic simulation model to analyse the fuel consumption of a shovel-truck system is proposed. The model is developed using the Arena® Software. The average monthly fuel consumption by the digging and excavating equipment is found to be 62 000 litres at 95% confidence interval, reflecting a variance of -3.8% from the actual fuel consumption (64 362 litres). Optimising fuel consumption by the trucks will result in monthly fuelsavings of 3283 litres. It is also recognised that a total of about 22 000 litres of fuel is consumed per month due to truck waiting. It is anticipated that greater fuel savings will be achieved if the entire shovel-tuck systems of the mine is optimised. The paper also demonstrates that stochastic simulation is an effective tool for optimising the utilisation of fossil-based fuels in mining and related industries.
References
Adak, P., Sahu, R. and Elumalai, S. P. (2016), “Development of Emission Factors for Motorcycles and Shared Auto-rickshaws Using Real-world Driving Cycle for a typical Indian Cityâ€, Science of The Total Environment, Vol. 544, pp. 299-308.
Altiok, T. and Melamed, B. (2007), Simulation Modeling and Analysis with Arena, Elsevier Academic Press, New York, USA, 440pp.
Anglani, A., Grieco, A., Pacella, M., andTolio, T. (2002), “Object-Oriented Modelling and Simulation of Flexible Manufacturing Systems: A Rule-based Procedureâ€, Simulation Modelling Practice and Theory, Vol. 10, Issue 3, pp. 209-234.
Awuah-Offei, K. (2012), “Can Discrete Event Simulation Help You Improve Your Operation?â€http://sphinxminingsystems.com/blog/?p=78. Accessed: January 30, 2015.
Awuah-Offei, K., Osei, B. and Askari-Nasab, H. (2012), “Improving Truck-Shovel Energy Efficiency Through Discrete Event Modelingâ€, Society of Mining, Metallurgy & Exploration (SME) Annual Meeting, Seattle, WA., Preprint 12-069, pp. 1 – 6
Fioroni, M. M., Bianchi, T. J., Pinto, L. R., Franzese, L. A. G., Luiz Ezawa, L. and Miranda, G. (2008), “Concurrent Simulation and Optimization Models for Mining Planningâ€, Proceedings of the 2008 Winter Simulation Conference, Mason, S. J. (ed.), Florida, USA, pp. 759 – 767.
Heide, C. H. and Mohazzabi, P. (2013), “Fuel Economy of a Vehicle as a Function of Airspeed: The Concept of Parallel Corridorsâ€, International Journal of Energy and Environmental Engineering, 2013, pp. 1 – 9.
Hogg, G. A., Pulkki, R. E. and Ackerman, P. A. (2010), “Multi-stem Mechanized Harvesting Operation Analysis–Application of Arena 9 Discrete-event Simulation Software in Zululand, South Africaâ€, International Journal of Forest Engineering, Vol. 21, Issue 2, pp.14-22.
Jun, J. B., Jacobson, S. H. and Swisher, J. R. (1999), “Application of Discrete-event Simulation in Health Care Clinics: A Surveyâ€, Journal of the Operational Research Society, pp. 109-123.
Kecojevic, V. and Komljenovic, D. (2010), “Haul Truck Fuel Consumption and CO2 Emission under Various Engine Load Conditionsâ€, MınıngEngıneerıng Magazine, December, 2010, pp. 44 – 48.
Koellner, W. G., Brown, G. M., RodrÃguez, J., Pontt, J., Cortés, P. and Miranda, H. (2004), “Recent Advances in Mining Haul Trucksâ€, Industrial Electronics, IEEE Transactions, Vol. 51, Issue 2, pp. 321-329.
Koenig, R. L., Marinopoulos, N. and Olsson, B. R. (2002), “Using Reliability Modelling to Confirm Plant Design Capacityâ€, Proceedings of Metallurgical Plant Design and Operating Strategies, Sydney, NSW, pp. 248 - 260.
Komashie, A. and Mousavi, A. (2005), “Modeling Emergency Departments Using Discrete Event Simulation Techniquesâ€, In Proceedings of the 37th conference on Winter simulation, Winter Simulation Conference, pp. 2681-2685.
Krause, A. and Musingwini, C. (2007), “Modelling Open Pit Shovel-Truck Systems Using the Machine Repair Modelâ€, The Journal of The Southern African Institute of Mining and Metallurgy, Vol. 107, August 2007, pp. 469-476.
Kuhl, M. E., Kistner, J., Costantini, K. and Sudit, M. (2007), “Cyber-Attack Modelling and Simulation for Network Security Analysisâ€, In Proceedings of the 39th Conference on Winter Simulation, December, IEEE Press, pp. 1180-1188.
Kumar, S. and Phrommathed, P. (2006), “Improving a Manufacturing Process by Mapping and Simulation of Critical Operationsâ€, Journal of Manufacturing Technology Management, Vol. 17, Issue 1, pp. 104-132.
Li, S., Dimitrakopoulos, R., Scott, J. R. and Dunn, D. (2004). “Quantification of Geological Uncertainty and Risk using Stochastic Simulation and Applications in the Coal Mining Industry†In Orebody Modelling and Strategic Mine Planning-Uncertainty and Risk Management International Symposium 2004, The Australasian Institute of Mining and Metallurgy, pp. 185-192.
Lin, H., Cui, X., Yu, Q. and Yang, S. (2011), “Experimental Study on Diesel Vehicle’s Fuel Consumption Feature While Coasting on Level Roadâ€, Proceedings of International Conference, Part 1, CSIE 2011, Shen, G. and Huang, X. (eds.), Zhengzhou, China, 21 - 22 May, 2011. pp 264 – 270.
Nel, S., Kizil, M. S. and Knights, P. (2011), “Improving Truck-Shovel Matchingâ€, Proceedings of the 35th APCOM Symposium, Wollongong, NSW, pp. 381 – 391.
Norgate, T. and Haque, N. (2010), “Energy and greenhouse gas impacts of mining and mineral processing operationsâ€, Journal of Cleaner Production, Vol. 18, Issue 3, pp. 266-274.
Parreira, J. (2013), “An Interactive Simulation Model to Compare an Autonomous Haulage Truck System with a Manually-Operated Systemâ€, Unpublished Doctoral Dissertation, University of British Columbia, Vancouver, 212pp.
Patil, K., Jin, K. and Li, H. (2011), “Arena Simulation Model for Multi Echelon Inventory System in Supply Chain Managementâ€, In Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference, December, IEEE, pp. 1214-1217.
Rogers, P. (2002), “Optimum-Seeking Simulation in the Design and Control of Manufacturing Systems: Experience with OptQuest for Arenaâ€, In Simulation Conference, 2002. Proceedings of the Winter, December, IEEE, Vol. 2, pp. 1142-1150.
Shelswell, K. J., Fitzgerald, J. and Labrecque, P. O. (2013), “Discrete Event Simulation Modelling versus TKM Analysis of a Mine Operating with a Hybrid Material Movement Practice Consisting of Truck Haulage and Skippingâ€, Proceedings of CIM Convention, Toronto, 2013, 9pp.
Siami-Irdemoosa, E. and Dindarloo, S. R. (2015), “Prediction of Fuel Consumption of Mining Dump Trucks: A Neural Networks Approachâ€, Applied Energy 151, pp. 77–84.
Wang, T., Guinet, A., Belaidi, A. and Besombes, B. (2009), “Modelling and Simulation of Emergency Services with ARIS and Arena. Case Study: The Emergency Department of Saint Joseph and Saint Luc Hospitalâ€, Production Planning and Control, Vol. 20, Issue 6, pp. 484-495.
Zeng, Q. and Yang, Z. (2009), “Integrating Simulation and Optimization to Schedule Loading Operations in Container Terminalsâ€, Computers & Operations Research, Vol. 36, Issue 6, pp. 1935-1944.
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