gPROMS FormulatedProducts's model libraries provide sophisticated mechanistic models to facilitate workflows for design and optimisation of brine mining operations.
Modelling of solar evaporation ponds allows users to analyse salt precipitation and explore the degrees of freedom within the decision space of managing brine flow, predicting when to harvest, and how much to harvest. By building the flowsheet of connected ponds validated with level, concentration, and temperature data, users are enabled to investigate the process design and utilize predictive capabilities to optimise yields.
Whether harvesting lithium, potassium, or any number of other salt species, gPROMS FormulatedProducts integrates with the most advanced and robust physical properties packages, giving you the power to understand the feasibility of product quality, efficiency, and financial goals. The dynamic solar pond model can be used to study the effect of the variations in climate and solar radiations throughout the year on the evaporation of the brine and the precipitation of salts. This is essential for the design and simulation of annual and multi-annual production plans.
What we do:
Bespoke model design and consulting services
Training for utilization and optimisation of gPROMS modelling tools
Training for process and flowsheet design
Fluid separation & Crystallization
Optimise the design of fluid separation processes such as extraction and distillation processes to purify the products from synthesis for further downstream processing, e.g. crystallization where users can design and optimise processes that consistently deliver the particles of the required size (distribution) and purity.
Filtration and drying
Using filtration and drying models, you can explore the routes to develop efficient filtration processes with minimal drying times that result in the necessary moisture levels of the dry product, thus improving the efficiency not only of the filtration step but also subsequent downstream steps.
The formation of granules consisting active ingredient and excipient primary particles, created through either dry or wet processes, can be modelled in gPROMS FormulatedProducts giving predictive capability of both transient granule development and their final key attributes such as size, moisture content.
Achieving uniformity in a blend of active ingredient and excipients is key for delivering an on-spec product. Modelling of the continuous blending stage allows for prediction of potency of the final blend and assess the impact of disturbances of the feed rate on the same.