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Financial model for energy efficiency projects in the mining industry

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  • Nel, A.J.H.
  • Vosloo, J.C.
  • Mathews, M.J.

Abstract

The impact of industrial EE projects have previously been understated by the omission of non-energy benefits (NEBs). As a result, several fruitful projects have not been implemented which could have dire consequences for energy intensive industries, such as the mining industry. Typically, project feasibility is determined through financial evaluation techniques such as payback period, internal rate of return and return on investment. These techniques are limited to the monetisation of benefits, NEBs therefore, has to be quantified, monetised and included in these techniques. However, not all NEBs have direct costs, there are NEBs which affects productivity but the relationship cannot be empirically calculated. Therefore, this paper aims to develop a comprehensive financial model that can be used by energy advocates to quantify and monetise NEBs for EE projects in the mining industry.

Suggested Citation

  • Nel, A.J.H. & Vosloo, J.C. & Mathews, M.J., 2018. "Financial model for energy efficiency projects in the mining industry," Energy, Elsevier, vol. 163(C), pages 546-554.
    • Handle: RePEc:eee:energy:v:163:y:2018:i:c:p:546-554
    DOI: 10.1016/j.energy.2018.08.154
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    1. Dietz, Simon & Hepburn, Cameron, 2013. "Benefit–cost analysis of non-marginal climate and energy projects," Energy Economics, Elsevier, vol. 40(C), pages 61-71.
    2. Fleiter, Tobias & Hirzel, Simon & Worrell, Ernst, 2012. "The characteristics of energy-efficiency measures – a neglected dimension," Energy Policy, Elsevier, vol. 51(C), pages 502-513.
    3. Mandell, Svante, 2011. "Carbon emission values in cost benefit analyses," Transport Policy, Elsevier, vol. 18(6), pages 888-892, November.
    4. Harris, Jane & Anderson, Jane & Shafron, Walter, 2000. "Investment in energy efficiency: a survey of Australian firms," Energy Policy, Elsevier, vol. 28(12), pages 867-876, October.
    5. Worrell, Ernst & Laitner, John A & Ruth, Michael & Finman, Hodayah, 2003. "Productivity benefits of industrial energy efficiency measures," Energy, Elsevier, vol. 28(11), pages 1081-1098.
    6. Ziramba, Emmanuel, 2009. "Disaggregate energy consumption and industrial production in South Africa," Energy Policy, Elsevier, vol. 37(6), pages 2214-2220, June.
    7. Stephen J. Decanio & William E. Watkins, 1998. "Investment In Energy Efficiency: Do The Characteristics Of Firms Matter?," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 95-107, February.
    8. Yushchenko, Alisa & Patel, Martin Kumar, 2017. "Cost-effectiveness of energy efficiency programs: How to better understand and improve from multiple stakeholder perspectives?," Energy Policy, Elsevier, vol. 108(C), pages 538-550.
    9. Roychaudhuri, Pritam Sankar & Kazantzi, Vasiliki & Foo, Dominic C.Y. & Tan, Raymond R. & Bandyopadhyay, Santanu, 2017. "Selection of energy conservation projects through Financial Pinch Analysis," Energy, Elsevier, vol. 138(C), pages 602-615.
    10. Saidur, R. & Rahim, N.A. & Hasanuzzaman, M., 2010. "A review on compressed-air energy use and energy savings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(4), pages 1135-1153, May.
    11. Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
    12. Nehler, Therese, 2018. "Linking energy efficiency measures in industrial compressed air systems with non-energy benefits – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 72-87.
    13. Sebitosi, A.B., 2008. "Energy efficiency, security of supply and the environment in South Africa: Moving beyond the strategy documents," Energy, Elsevier, vol. 33(11), pages 1591-1596.
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