EU Petroleum Refining Fitness Check: Impact of EU Legislation on Sectoral Economic Performance

This report presents the results of the quantitative assessment of the impact on the petroleum refining sector of legislative measures, identified in the process of European Commission's analysis and stakeholder consultations as being of significant relevance for petroleum refineries, and as such included in the mandate of the fitness check. This quantitative assessment took into account the impact of the legislation on costs and revenues of the EU petroleum refining industry and therefore on its capacity to remain internationally competitive. This analysis, mostly of a quantitative nature, was accompanied where possible and relevant by a qualitative assessment in accordance with the Commission's general approach to fitness checks . In particular, the report analysed how coherently and consistently the EU legislation, identified as relevant for the sector, works together, whether it is effective and efficient, and whether it is associated with excessive regulatory burdens, overlaps, gaps, inconsistencies or obsolete measures. Since this fitness check addressed a specific industry sector rather than a policy area, it had a specific focus on the cumulative impact, effectiveness, efficiency and coherence of the measures with respect to the oil refining sector. As stated in the mandate of the fitness check, the analysis in this report was retrospective and concentrated on the impact of the relevant legislation on the petroleum refining sector in the period between 2000 and 2012.JRC.J.5-Sustainable Production and Consumptio

Prices of robustness and reblending in oil industry

International audienceIn this paper we present a method to calculate the prices of robustness and reblending through a robust real-time optimization method for the on-line linear oil blending process. Our approach places this problem in a wider frame where different sources of uncertainty inherent to the blending process appear. The polytopal structure of our problem permits a robust approach that is simpler than the classical theory of Ben-Tal and Nemirovskii which needs convex programming tools. Our method is intended to avoid reblending and we measure its performance in terms of the blend quality giveaway and feedstocks prices. The difference between the nominal and the robust optimal values (the price of robustness) provides a benchmark for the cost of reblending which is difficult to estimate in practice. This new information can be used to adjust the level of conservatism in the model. Additional critical information for the control system is produced. For instance, knowing the minimal volume to pour before getting a robust feasible blend reduces the unnecessary control system interventions