The power to be certain
  • gPROMS ModelBuilder

    The world's leading
    Advanced Process Modelling environment

    gPROMS ModelBuilder is an environment for expert modellers to build, validate and execute steady-state and dynamic process models and deploy these across the organisation.

    It provides all the facilities of the gPROMS advanced process modelling platform for creating and managing custom models, from single units such as novel reactors to entire corporate process simulation and optimisation environments.

    Build, validate, execute, deploy

    The gPROMS platform's powerful process modelling language allows expert modellers to create custom process models of virtually any level of complexity, and validate these against experimental or plant data using built-in advanced parameter estimation techniques.

    Models can be combined with other custom or library models within a process flowsheet. You can then apply the gPROMS platform's steady-state and dynamic simulation and industry-leading optimisation capabilities to generate high-accuracy predictive information for decision support in product and process innovation, design and operation.

    Library management capabilities allow easy supply of models to users across the organisation. Models can be protected (encrypted) for security and quality assurance purposes.


    1. Build

    Powerful custom modelling capabilities allow you to create first-principles models of virtually any type of process:

    • Easy custom modelling with no need to program numerical solution methods
    • Lumped and distributed parameter (spatial, size distribution, etc.) modelling
    • Powerful discontinuity handling
    • Steady-state and dynamic models within the same environment
    • TASK language for operating policy
    • Multiple physical property options

    2. Validate

    You can then fit empirical model parameters to experimental (laboratory, pilot or operating) data to provide highly predictive models:

    • Advanced parameter estimation capabilities
    • Estimate multiple parameters from multiple steady-state and dynamic experiments
    • Full statistical analysis of parameter uncertainty to support risk analysis and R&D investment decisions
    • Enhance predictive capability of first principles model

    At this point you have captured corporate knowledge in a first-principles validated model with accurate predictive capability. Now it is possible to apply this to generate value and create competitive advantage in a number of ways:


    3. Execute

    You can perform steady-state and dynamic simulation and optimisation to explore the decision space rapidly and effectively in order to:

    • Optimise unit design to minimise CAPEX, maximise operability, etc.
    • Optimise operation to minimise energy, feedstock use, etc.
    • Optimise operating policy to determine optimal start-up or grade change procedures
    • Perform whole plant optimisation to improve plant economics
    • Perform scale-up of complex units, linking to CFD for mixing effects where necessary.

    4. Deploy

    You can gain further return on investment by deploying models across the organisation:

    • As on-demand operations or purchasing decision support tools executing within a web browser
    • In online execution as part of the plant automation system, for monitoring, optimisation and look-ahead simulation
    • For design support, executing within MS Excel, web browsers, VBA or other custom interfaces
    • Within other engineering software such as Aspen Technology's Aspen Plus®, Schneider Electric SimSci's PRO/II®, ANSYS FLUENT® or The Mathworks' MATLAB®.

    Features & advantages

    Because of its modelling and solution power and its process industry focus, the gPROMS platform brings many advantages. These are just a few:

    Long-term benefits

    Systematic investment in advanced process modelling can bring significant long-term benefits. You can: