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Long-term petroleum product supply analysis through a robust modelling approach

Author

Listed:
  • Umed Temurshoev

    (Universidad Loyola Andalucía)

  • Fréderic Lantz

    (IFP-School)

Abstract
Linear programming approach to economic modelling of petroleum refining has important shortcomings that make it less useful and less robust for the purposes of impact assessments of related policies. These have to do with its natural inability to calibrate observed data and obtaining jumpy responses of the decision variables to smooth exogenous shocks due to the large number of substitutions between the refining processes. Relying on positive mathematical programming literature, in this paper we propose a method that solves these issues. The main idea is that a refining model has to have a non-linear objective function via inclusion of an implicit total cost function that captures the aggregated impact of all other relevant factors that are not explicitly modelled. We discuss in some detail the issues relevant for practical implementation of the proposed approach for interested practitioners.

Suggested Citation

  • Umed Temurshoev & Fréderic Lantz, 2016. "Long-term petroleum product supply analysis through a robust modelling approach," Working Papers 2016-003, Universidad Loyola Andalucía, Department of Economics.
    • Handle: RePEc:loy:wpaper:2016-003
    as

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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Petroleum refining industry; perfect calibration; positive mathematical programming; robust analysis;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels

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