Abstract
Decisions in an oil refinery are made at three levels: planning, scheduling and control. Existing facilities have to be operated close to their maximum capacity, while continuously responding to cost fluctuations. In many of the currently reported planning models each decision level has its own model and is used separately. Integration of these models will lead to solutions closer to the optimum than modeling the decision levels separately. However, simply combining the levels into one model would lead to very large models that yet cannot be solved within reasonable time. To overcome the computational time issue a rolling horizon approach is proposed in this work.
Original language | English |
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Pages (from-to) | 439-444 |
Journal | Computer Aided Chemical Engineering |
Volume | 33 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Keywords
- MILP
- Oil refinery
- Planning
- Rolling horizon
- Scheduling