An optimization model for refinery production scheduling

Optimizing scheduling of refinery operations based on piecewise linear models

“…This assumption also simplifies the optimization problem, though removing it to suit more generic cases would be straightforward. In many reported studies (Göthe-Lundgren, 2002;Jia et al, 2004;Luo & Rong, 2007), the yield and operating cost are usually taken as fixed values under each operating mode. This approach is a very rough approximation to the actual processes, especially for the secondary processing units and HUPUs.…”

“…considered the impact of variations in crude oil on scheduling. Göthe-Lundgren et al (2002) proposed an multi-fixed yield model in terms of several predefined operating states (each operating state refers to the fixed feed quality and quantity, and fixed unit operating condition), which may not be sufficient to cover the entire scheduling domain. This multi-fixed yield model was adopted in (Luo & Rong, 2007), which also proposed a hierarchical approach to short-term scheduling and significantly reduced the binary variables in optimization.…”

“…In the majority of existing studies, the yield and cost (and possibly other process measures) are fixed for each predefined operating mode, i.e. models resembling look-up tables (Göthe-Lundgren, 2002;Jia et al, 2004;Luo & Rong, 2007); this strategy do not well represent the real processes. However, if highly complex nonlinear models are used, such as neural networks or Gaussian process regression models (Yan et al, 2011), the subsequent optimization becomes nonlinear and is hard to solve efficiently.…”

Use of Excel worksheets with user-friendly interface in batch process (PSBP) to minimize the makespan

“…Gothe- Lundgren and Persson (2002) have studied the problem of scheduling in an oil refinery with the intention of choosing the best way of operation, in order to attend the demand and the capacity of storage, reducing the cost of production. The role model was elaborated in the Mixed Integer Linear Programming.…”

Nonlinear Blend Scheduling via Inventory Pinch-based Algorithm using Discrete- and Continuous-time Models

“…Process plants are nonlinear but the usual practice for scheduling is to approximate the system behavior by linear models. 2,11,12,13 Recent advances have made it possible to use nonlinear models for some scheduling problems. 14,15 MPIP-C algorithm 1 enables use of nonlinear models to solve scheduling problems for plants which produce multiple products by switching from producing one product to another.…”