Process Systems Enterprise Limited
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Crystallization

Applications of simulation and modelling

AML:SC

"We reduced batch time by 20%" (Purac Biochem)

"We increased median crystal size from 350 to 415 µm" (Purac Biochem)

 

Advanced Process Modelling is used to enhance design and operation through the use of quantitative predictive information based on a combination of fundamental physics and validation against experimental data.

This leads to improved product quality and throughput and lower production costs, and hence enhanced revenues.

There are numerous other financial benefits from the application of modelling, including 'soft' benefits such as the greater understanding of processes.

PSE has experience in the model-based design and operation of a wide variety of crystallisation processes – batch, semi-batch and continuous, for a wide variety of products in all process industry sectors.

Examples of application

A subset of PSE's modelling experience is shown in the table below. Click on the highlighted rows for more details.

Company Products Process type Objective & benefits
Kemira Oy Potassium dihydrogen phosphate (KH2PO4) Batch evaporative Optimal recipe generation
Major petrochemical co Terephthalic acid Continuous multi-stage flash cooling Process optimisation; reduction in volume fraction of coarse crystals
Roquette Dextrose Continuous cooling Process optimisation; reduction in fouling
Japanese chemical company Confidential Large-scale continuous multi-stage Significant increase in quality and throughput; c. $10m/year increase in profitability of unit
Major UK pharmaceuticals Confidential Batch cooling Scale-up crystallisation process for an Active Pharmaceutical Ingredient (API)
Danisco Sucrose Batch evaporative Operator training
DSM Confidential Large-scale continuous with solid-liquid separation Debottlenecking
PURAC Lactitol monohydride Batch cooling/evaporative Process optimisation; implementation of Model-based Predictive Control; reduced batch time
Mining company Sodium Nitrate Cyclic continuous Optimal seeding policy and locations
US consumer products company Personal hygiene product Mixing of different temperature streams Enhance product uniformity and overall quality
Dutch dairy company Lactose Batch cooling Reduce batch-to-batch variability; extend range of production grades