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Research Papers: Fuel Combustion

Creating Value in the Coal Delivery Chain to a Captive Power Plant

[+] Author and Article Information
Dave Osborne

Somerset International Australia Pty Ltd,
Level 3, 145 Eagle Street,
Brisbane 4000, Queensland, Australia

Dan Eyre

Uniper Technologies Ltd. Technology Centre,
Ratcliffe-on-Soar,
Nottingham NG11 0EE, UK

Contributed by the Advanced Energy Systems Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received July 17, 2017; final manuscript received May 17, 2018; published online September 12, 2018. Editor: Hameed Metghalchi.

J. Energy Resour. Technol 140(12), 122201 (Sep 12, 2018) (7 pages) Paper No: JERT-17-1371; doi: 10.1115/1.4040379 History: Received July 17, 2017; Revised May 17, 2018

Integration of a supply chain involves the design, planning, execution, control, and monitoring of delivery chain activities for creating net value. This includes building appropriate infrastructure, leveraging logistics, synchronizing supply with demand, and continually measuring/monitoring performance. The combination of advanced mining and beneficiation technologies and power plant improvement processes when integrated within a “whole-of-supply chain” promises great potential for creating step changes in the way that coal is delivered to its end user. When the supply chain involves a direct mine-to-power plant, the benefits may initially seem limited, but the adoption of a value-in-use model to determine costs incurred along the chain can show how changes in mining, beneficiation, and supply impact on power plant performance and, ultimately, total-supply chain costs. Uniper Technologies' proprietary Fuel Evaluation Tool as described in the paper is an expert value-in-use model, which combined with coal beneficiation modeling and expertise from Somerset International can show the potential improvements achievable by adopting a “whole-of-supply-chain” approach.

Copyright © 2018 by ASME
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References

Osborne, D. G. , and Hall, R. , 1997, “ Characterisation in Production and Transportation of Thermal Coal,” Aust. Coal Rev., pp. 29–32.
Alonso, E. , Field, F. , Gregory, J. , and Kirchain, R. , 2007, “ Material Availability and the Supply Chain: Risks, Effects, and Responses,” Environ. Sci. Technol., 41(19), pp. 6649–56. [CrossRef] [PubMed]
Osborne, D. G. , Smith, G. , and Mann, B. , 2013, “ Supply Chain Management for Bulk Materials in the Coal Industry,” The Coal Handbook—Towards Cleaner Production, Vol. 1, Woodhead Publishing Co., Cambridge, UK, Chap. 18, p. 587.
Osborne, D. G. , 2013, “ Adding Value to the Coal Delivery Chain Via Integrated Science and Engineering,” Tenth Australian Coal Science Conference, Brisbane, Australia, Nov. 18–19.
David Wiseman Pty Ltd., 2018, “ Limn Software,” David Wiseman Pty Ltd., Blackwood, South Australia, accessed Aug. 29, 2018, http://www.davidwiseman.com.au
Hutchens, M. F. , 2000, Raw Materials Selection for High Quality Iron & Steel Making at Lower Cost, International Iron and Steel Institute, Melbourne, Australia, p. 2000.
Goldsworthy, P. , and Eyre, D. , 2013, “ Value-in-Use (VIU) Assessment for Thermal and Metallurgical Coal,” The Coal Handbook: Towards Cleaner Production, Coal Utilisation, Vol. 2, Woodhead Publishing, Cambridge, UK, pp. 455–496.
Whitacre, J. , Schellenberg, S. , and Aiorio, A. , 2016, “ Integrated Mine-to-Market Mathematical Optimisation: A Technical Analysis of Paradyn's BlendOpt Software for the Coal Industry,” 16th Annual Australian Coal Preparation Society Conference, Wollongong, Australia, Paper No. 8B, 17-03-2016.

Figures

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Fig. 1

Typical export supply chain

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Fig. 2

Factors affecting change in the dynamic supply chain [3]

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Fig. 3

Coal quality factors [4]

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Fig. 4

Views of the open-pit operation at Meandu and Tarong power stations 1.5 km away

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Fig. 5

Supply chain components for Tarong Power Plant

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Fig. 6

Size distribution envelope for run-of mine supply

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Fig. 7

Tarong washing plant dynamic model

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Fig. 8

Coal quality of Tarong power plant feed coal

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Fig. 9

Graphs compare “rule based” (upper) and BlendOpt (lower) calculations [8]

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Fig. 10

Cost data example from an integrated supply chain value assessment

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Fig. 11

Cost data example from the fuel evaluation value assessment

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Fig. 12

Product data from the product option assessment for Tarong

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Fig. 13

O and M data from the value-in-use assessment for Tarong

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Fig. 14

Unit availability data from the value-in-use assessment for Tarong

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Fig. 15

Total power generation costs

Tables

Errata

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