Multi-Period Blending Optimizer
Optional Supply Chain Scheduling System Plugin for Multi-Period Blending Optimization
Includes Multi-Product & Multi-Blend Optimization
Refinery & Petrochemical Feeds & Products
The objectives in the optimization include such objectives as: minimize octane giveaway, minimize deviation from planned recipe, minimize the use of more costly blend components, meet governmental and environmental requirements, avoid running out of blend components over the planning horizon, and many more.
VM-SCS provides support for the simulation and optimization of blending operations. The simulation model allows the calculations of the mix properties for the materials being blended. There are several methods for computing the mix value depending on the property. The most common are: linear volumetric average and linear weight average. For other properties with non linear mix behavior, specific methods are applied, as for Reid Vapor Pressure, Octane Number, Cetane Number, Aniline Point, etc.
In the case of crude oil properties, VM-SCS provides models for estimating the assay properties of the crude blend using the individual crude assay for each component of the blend.
Blending models are available both for steady-state operation and for batch blending. This means that the non linear blending properties are calculated as continuous variables being integrated along the time for batch operations. This capability allows the tracking of the blend properties along the batch blend operation.
Multi-Period Blending supports 3 optimization models:
- Minimum cost recipe for a given spec with constrained stocks availability
- Minimum cost corrective recipe for fixing out-of-spec batches
- Minimize the deviation with a target recipe
Additionally, VM-SCS provides model for optimizing the recipe for blending operations. These optimization models minimize the cost of creating a blend of specified properties by using a pool of component with different qualities and cost. The optimization models are based on NLP and MILP mathematical programming.
For more information about VisualMesa Supply Chain Scheduling's blending optimizer, please contact us.