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Modelling energy use in the mineral processing industries of Ontario with MARKAL-Ontario

Author

Listed:
  • Berger, C.
  • Fuller, D.
  • Haurie, A.
  • Loulou, R.
  • Luthra, D.
  • Waaub, J.-P.

Abstract

We report on the development of a linear process model of energy supplies and uses in the province of Ontario (Canada). The minerals industries producing metals account for a large part of industrial energy use in Ontario. Therefore, the emphasis in this model is on the iron and steel, copper, nickel, and zinc industries, which are described in some detail. On the other hand, by using the model, we keep a global perspective and embed these industries in a general energy model of the whole province. Two scenarios are run and analyzed to demonstrate the model capabilities.

Suggested Citation

  • Berger, C. & Fuller, D. & Haurie, A. & Loulou, R. & Luthra, D. & Waaub, J.-P., 1990. "Modelling energy use in the mineral processing industries of Ontario with MARKAL-Ontario," Energy, Elsevier, vol. 15(9), pages 741-758.
    • Handle: RePEc:eee:energy:v:15:y:1990:i:9:p:741-758
    DOI: 10.1016/0360-5442(90)90113-G
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    Cited by:

    1. Kanudia, Amit & Loulou, Richard, 1998. "Robust responses to climate change via stochastic MARKAL: The case of Quebec," European Journal of Operational Research, Elsevier, vol. 106(1), pages 15-30, April.
    2. Lee, Hwarang & Eom, Jiyong & Cho, Cheolhung & Koo, Yoonmo, 2019. "A bottom-up model of industrial energy system with positive mathematical programming," Energy, Elsevier, vol. 173(C), pages 679-690.
    3. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    4. Shmelev, Stanislav E. & van den Bergh, Jeroen C.J.M., 2016. "Optimal diversity of renewable energy alternatives under multiple criteria: An application to the UK," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 679-691.

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