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A linear programming analysis of liquid-fuel production and use options for Australia

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  • de L. Musgrove, A.R.

Abstract

The linear programming model, MARKAL, was used to analyse minimum discounted cost configurations for the Australian energy system over the period 1980–2020. Particular attention was focussed on options available for augmenting falling local oil production and for maintaining liquid fuel supplies to the transport sector. Two different assumptions for future primary energy prices were analysed: a linear doubling of real prices by 2020, and a constant real price.

Suggested Citation

  • de L. Musgrove, A.R., 1984. "A linear programming analysis of liquid-fuel production and use options for Australia," Energy, Elsevier, vol. 9(4), pages 281-302.
    • Handle: RePEc:eee:energy:v:9:y:1984:i:4:p:281-302
    DOI: 10.1016/0360-5442(84)90100-2
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    Cited by:

    1. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    2. Iniyan, S. & Suganthi, L. & Jagadeesan, T.R., 1998. "Renewable energy planning for India in 21st century," Renewable Energy, Elsevier, vol. 14(1), pages 453-457.
    3. Wang, S. & Xie, Y.L. & Huang, G.H. & Yao, Y. & Wang, S.Y. & Li, Y.F., 2021. "A Structural Adjustment optimization model for electric-power system management under multiple Uncertainties—A case study of Urumqi city, China," Energy Policy, Elsevier, vol. 149(C).
    4. Zhu, Y. & Li, Y.P. & Huang, G.H., 2012. "Planning municipal-scale energy systems under functional interval uncertainties," Renewable Energy, Elsevier, vol. 39(1), pages 71-84.
    5. Pedro Gerber Machado & Dominique Mouette & Luz D. Villanueva & A. Ricardo Esparta & Bruno Mendes Leite & Edmilson Moutinho dos Santos, 2019. "Energy systems modeling: Trends in research publication," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(4), July.
    6. Iniyan, S. & Suganthi, L. & Samuel, Anand A., 2006. "Energy models for commercial energy prediction and substitution of renewable energy sources," Energy Policy, Elsevier, vol. 34(17), pages 2640-2653, November.

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