Model refinery production planning

Model Applications to Refinery Production Planning 307 Table 5.21 Reformer yields at various N+2A and C5+ reformate RON from rigorous model. 

Case studies that encompass real-life optimization scenarios in the refinery Applications that broaden model scope beyond engineering purposes (i.e. refinery production planning)... 

The corporate operations planning model sets target levels and prices for interrefinery transfers, crude and product allocations to each refinery, production targets, and inventory targets for the end of each refinery model s time horizon. 

The model was then solved for the total refinery network and the PVC petrochemical complex. As shown in Table 5.4, the proposed model redesigned the refinery network and operating policies and also devised the optimal production plan for the PVC complex from all available process technologies. The model selected gas oil, an intermediate refinery stream, as the refinery feedstock to the petrochemical complex as opposed to the normally used light naphtha feedstock in industrial practice. In fact, this selection provided the optimal strategy as the light naphtha stream was used instead in the gasoline... 

Table 7.6 shows the solution of the refineries network using the SAA scheme with N = 2000 and N = 20000 where the proposed model required 790CPUs to converge to the optimal solution. In addition to the master production plan devised for each refinery, the solution proposed the amounts of each intermediate stream to be exchanged between the different processes in the refineries. The formulation considered the uncertainty in the imported crude oil prices, petroleum product prices and demand. The three refineries collaborate to satisfy a given local market demand where the model provides the production and blending level targets for the individual sites. The annual production cost across the facilities was found to be 6 650 868. 

Pure simulation approaches are proposed by Pitty et al. (2008) and Adhitya and Srini-vasan (2010). Pitty et al. (2008) propose a discrete-event simulation model for a refinery supply chain. Operational decisions such as unloading schedules and production planning are made based on simple priority rules. Various configurations of the modelled SC are studied and compared to reveal optimization potentials. This approach explicitly considers some details of ship and pipeline transports. Adhitya and Srinivasan (2010) describe a discrete-event simulation model for an SC producing and distributing lubricant additives. Here, batch production is modelled. Again, operational production decisions are made by priority rules and a scenario analysis is conducted to evaluate the effects of other priority... 

Alhajri, I., Elkamel, A., Albahri, T., and Douglas, P. A nonlinear programming model for refinery planning and optimisation with rigorous process models and product quality specifications. International Journal of Oil, Gas and Coed Technology, l(3) 283-307,... 

Kim, Y., Yun, C., Park, S. B., Park, S., and Fan, L. An integrated model of supply network and production planning for multiple fuel products of multi-site refineries. Computers Chemical Engineering, 32(11) 2529 - 2535, 2008. 

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