Process Systems Enterprise gPROMS v3.6

Engineering Applications

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  • Saadedin
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    • Sep 2018 
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    Process Systems Enterprise gPROMS v3.6

    Process Systems Enterprise gPROMS v3.6

    Process Systems Enterprise gPROMS v3.6

    Process Systems Enterprise gPROMS v3.6

    gPROMS is a platform for high-fidelity predictive
    modelling for the process industries. Its main
    applications are in model-based engineering
    activities for process and equipment development and
    design, and optimisation of process operations.

    gPROMS is applied by major process and technology
    organisations throughout the world, across many
    application areas in all process sectors. It is also
    used for research and teaching at 200 academic
    institutions worldwide.

    At the heart of the gPROMS platform is the gPROMS
    ModelBuilder, the leading custom modelling
    environment for the process industries.
    ModelBuilder's process modelling, process simulation
    and optimisation capabilities are used to generate
    high-accuracy predictive information for decision
    support in product and process innovation, design
    and operation.

    gPROMS platform products have many major advantages
    over other comparable modelling software:

    * Support for multiscale modelling, meaning - for
    example - that it is possible to create a reactor
    model that takes into account all phenomena from
    mass transfer in the catalyst pore to full-scale
    equipment effects simultaneously
    * Custom modelling capabilities that allow the
    development, execution and maintenance of
    high-fidelity models of a wide range of equipment
    * The abilty to apply such high-fidelity unit models
    within a full process flowsheet
    * Estimation of equipment or process empirical
    parameters from experimental - laboratory, pilot
    or operational - data, with estimates of data
    uncertainty for risk analysis
    * Steady-state and dynamic modelling within the same
    * The ability to perform many different activities
    using the same underlying model
    * Support for scale-up from minimal experimental
    data to full equipment, using hybrid modelling
    technologies where necessary.

    gPROMS is an equation-oriented modelling system used
    for building, validating and executing
    first-principles models within a flowsheeting

    Models are constructed in the gPROMS ModelBuilder by
    writing down the fundamental chemistry, physics,
    chemical engineering, operating procedures and other
    relationships that govern the process or product

    The resulting model is then validated against
    observed data - typically, laboratory, pilot plant
    or operating data - to adjust model parameters such
    as heat transfer coefficients to match reality as
    closely as possible.

    Of course, it is not necessary to create a model
    from scratch every time - you can use one of the
    many state-of-the-art gPROMS model libraries, or
    create your own library for publishing throughout
    your organisation. Once a model exists, it can be
    solved in many different ways to perform many
    different activities - for example:

    * Steady-state simulation, for example to optimise
    steady-state process conditions
    * Dynamic simulation, for example in control design
    or design of operating procedures
    * Parameter estimation, to determine empirical
    parameters from real-life data
    * Model-based experiment design, to design the
    optimal next experiment to generate additional
    data in areas of uncertainty
    * Steady-state and dynamic optimisation, including
    integer optimisation, for direct calculation (as
    opposed to trial-and-error simulation) of
    variables or trajectories of interest
    * Generation of linearised models for use in control
    and online optimisation

    The activities can be applied at different stages
    across the process lifecycle. This means that once
    you have invested in creating an accurate gPROMS
    model of your process you can use that model
    wherever it can generate value, to ensure multiple
    return on investment.