gSOLIDS - Advanced Process Modelling Technology Design
gSOLIDS is an advanced process modelling technology designed to speed up both the development of new processes and the optimisation of existing processes whilst reducing the risk that significant investments may not yield the desired results. gSOLIDS facilitates a wide range of steps in the workflow for design and optimisation of solids processes: identifying dominant mechanisms, estimating model parameters that allow extrapolation of knowledge, investigation of batch vs continuous operation, process scale-up and optimisation of process operation at the manufacturing scale.
Our industry-leading software is designed to be easy to use without compromising on model accuracy and fidelity. It is primarily aimed at domain experts, engineers and scientists, who are not necessarily modelling experts.
In addition to the basic, steady-state models available in general solids process modelling tools, gSOLIDS provides dynamic, high-fidelity models and advanced model validation, process optimisation and custom modelling capabilities. This enables corporations to make better and safer decisions about the development and operation of their processes.
What does gSOLIDS do?
PSE's gSOLIDS brings value to businesses operating solids processes by facilitatinges a wide range of steps in the workflow for design and optimisation operations for businesses operating of solids processes . Our industry-leading advanced process modelling technology enables managers, businesses engineers and scientists to gain better knowledge and a deeper understanding of their processes than they can using conventional tools [more about this] .
They are able to make better decisions more quickly and with greater certainty. Better decisions that to allow businesses to enhance their process design and operation, facilitate innovation, reduce R&D costs, operating costs and CAPEX and increase throughput.
Use gSOLIDS advanced process modelling technology to facilitate good workflow and best practice, optimise and reduce cost at all stages of solids processing, from lab-scale exploration to process operation.
Typical process applications are:
Extract better kinetic information from fewer experiments
Estimate kinetic parameters and their accuracy (confidence intervals) from one or more steady-state or dynamic experiments using built-in model validation capabilities.
Quantify the risk associated with imperfect knowledge of your process
In practice you will never have full knowledge of a process as neither models nor measurements are perfect. The confidence intervals of the estimated kinetic parameters provide a quantitative measure of how well you know your process. gSOLIDS stochastic simulations capability allows you to understand how imperfect process knowledge, captured by the parameters confidence intervals, translates to uncertainty in model predictions for process optimisation and scale-up.
Design information rich experiments
Sometimes the business risk associated with uncertainty in model predictions is considered too large and additional experimentation is required to reduce the inaccuracy. These experiments are often expensive and time consuming. With gSOLIDS you can design a programme of experiments that contains more information than a programme obtained through traditional techniques, reducing the number of experiments required to obtain the desired level of accuracy in prediction results.
Robust and efficient batch processes
Reduce batch-to-batch variability by designing robust recipes that ensure high asset utilisation and on-spec product quality (PSD and composition). gSOLIDS dynamic optimisation capability can simultaneously take into account decision variables related to equipment design as well as the operation of that equipment.
Batch to continuous
Transfer your manufacturing process from batch to continuous operation without having to change your R&D set-up and techniques. Use gSOLIDS to capture knowledge from lab-scale batch experiments and apply that knowledge to the optimal design and operation of a continuous, manufacturing scale process.
Flexible and reliable continuous processes
Use gSOLIDS steady-state and dynamic optimisation capabilities to determine the optimum configuration in terms of type and size of equipment, recycle structures, optimal operating conditions as well as start-up and shutdown procedures. This approach allows you to find an economically optimal process subject to product quality (PSD and composition), operability and safety constraints.
gSOLIDS provides a range of advanced process modelling features and capabilities that benefit users of all levels.
At a glance
- Steady-state & dynamics
- Robust handling of recycles
- Estimation & optimisation
- Vapour/liquid process sections
- Sensitivity studies
- Risk management
Ease of use
- Intuitive, easy to use interface
- Project tree and model hierarchy
- Drag and drop flowsheeting
- Customisable solutions
- Bespoke model development
- Knowledge transfer
- Free standard training for commercial clients
- Low cost support and maintenance service
- Integrated and interoperable software environment
- Incorporate legacy models and codes
- Same models and interface for both simulation types
Model Library - Basics
- Mixing tank
Model Library - Classification
- Ideal screen
- Vibratory screen
- Screen with efficiency curve
Model Library - Control
- Holdup sensor
- LIW control
- PID Controller
- PSD monitor
- Sieve analyser
- Stream sensor
Model Library - Drying
- Fluid bed dryer
- Spray Dryer
Model Library - Size change
- Dry agglomerator
- Roller compactor
- Wet agglomerator
Model Library - Storage & transportation
- Belt conveyor
- Bucket conveyor
- Pneumatic conveyor
- Screw conveyor
- Drag-and-drop graphical flowsheeting
- Example flowsheets
- Spray drying
- gPROMS platform programming language and interface
- Ready-made templates
- Fast-track block equation builder
- Built-in physical properties
- InfoChem MultiFlash physical properties
- Link to CAPE-OPEN physical properties packages
- Interfacing to in-house physical properties packages
Advanced parameter estimation
- Multiple parameter estimation
- Steady-state experiments
- Dynamic experiments
- Extensive statistical analysis
- Steady-state optimisation
- Dynamic optimisation
- Mixed integer optimisation (MIO)
- Targeted experimentation
- Derive optimal experiment procedure based on current parameter values.
DEM and CFD interfacing
- Link to DEM software
- Hybrid Multizonal connection to CFD
- Batch, Semi-batch
- Start-up, shut-down
Results management tools
- Variable trajectories
- Equation-based/simultaneous solvers
- Efficient handling of large number of equations
- Variable time-step
PSE has a team of over 20 mostly PhD level engineers who offers extensive services in relation to gSOLIDS:
- Collaborative development
- Development of proprietary models
- Turnkey consulting projects for data processing, process design and optimisation of operation
Our extensive training and support options enable our customers to progress in their projects and to achieve their goals in the most efficient manner. We also provide expert services to help our customers meet their specific needs through collaborative model development and model-based consulting solutions and analyses reports.