SS DES-04B Combining PROII and GPROMS Custom Modelling to Enhance Competitive Advantage

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© 2014 Process Systems Enterprise Limited Pieter Schmal – Pr. Application Engineer Combining PRO/II & gPROMS custom modelling to enhance competitive advantage Invensys User meeting October 2014

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ProII and gproms interface

Transcript of SS DES-04B Combining PROII and GPROMS Custom Modelling to Enhance Competitive Advantage

  • 2014 Process Systems Enterprise Limited

    Pieter Schmal Pr. Application Engineer

    Combining PRO/II & gPROMS custom modelling to enhance competitive advantage

    Invensys User meeting October 2014

  • 2014 Process Systems Enterprise Limited

    Private, independent company

    incorporated in UK

    1997

    Company spun out

    Acquires technology

    HISTORY: FROM RESEARCH TO INDUSTRY

    Advanced Process Modelling Software and services (60:40)

    Major process industry focus all sectors

    Strong R&D

    Strong commercials

    1989 1997 Now

    Royal Academy MacRobert Award for Engineering Innovation

    UKs highest engineering award

    100s of person-years of

    R&D with industry

    Simulation & modelling,

    optimisation, numerical

    solutions techniques,

    supply chain

    London HQ Korea Japan US NJ US TX Switzerland

    India Saudi Arabia Thailand Malaysia China Taiwan

    120+ people >50% PhDs

  • 2014 Process Systems Enterprise Limited

    But what is Advanced Process Modelling?

    Based on accurate quantification

    PSEs business

    ADVANCED PROCESS MODELLING Technology and services for the process industries

    Decisions, decisions

    Whole plant optimisation

    Equipment

    configuration

    Catalyst

    choices

    Operating conditions

    Scale up

    Operating

    policy

    First-principles

    models

    Validated against data

    (where appropriate)

    Rigorous physical

    property calculations

    TASK language for

    operating policy

    Reduce uncertainty

    Better, faster, safer decisions

    Explore decision space rapidly

    Rigorous

    optimisation

  • 2014 Process Systems Enterprise Limited

    gPROMS product family

    The gPROMS platform Equation-oriented modelling & solution engine

    Sector-focused modelling tools

    CCS system modelling

    Power & CCS

    Flare networks & depressurisation

    Oil & Gas

    Solids process optimisation

    Crystallization process optimisation

    Oral absorption

    Life Sciences, Consumer, Food, Spec & Agrochem

    Materials modelling

    Fuel cell stack & system design

    Fuel Cells & Batteries

    Wastewater systems optimisation

    Wastewater Treatment

    Model deployment tools

    Deploy models in common engineering software

    Enterprise Objects

    General mathematical modelling

    gPROMS ModelBuilder Advanced process modelling environment

    Chemicals & Petrochemicals

    Advanced model libraries for reaction & separation

    gPROMS ProcessBuilder Advanced process simulation

  • 2014 Process Systems Enterprise Limited

    Advanced Process Models

    1

    1 1 1

    1

    ( )0 ( )

    ( ) ( )(1 ) ( ) ( ) ( )

    ( ) ( ) ( ) ( )( )( ) , 1, 1

    ( )

    NRi

    ij jj

    NC NR NCf

    i ij j i isol soli j i

    NCi ii k k

    k ik

    N za r z

    z

    T z T zCp a H r z N z H z

    t z z z

    x z N z x z N zx zv z i NC

    z D z

    Model parameter Experimental data

    5

    1. Build first-principles models Literature, research

    or model libraries

    Implement in ModelBuilder environment

    2. Validate model against experimental data

    Adjust model parameters to match reality

    Model equation

  • 2014 Process Systems Enterprise Limited

    Example: Multitubular reactor

    Catalyst particle 1-D model Catalytic reaction Multicomponent diffusion Heat transfer

    Catalyst-filled tube 2-D (axial, radial) Bed and wall heat transfer Mass transfer

    Shell Baffled compartments Detailed geometry Heat transfer Hydraulics

    1-D

    2-D axial

    radial

    Relevant products

    Implementation single tube

    Catalyst fixed-bed section

    Inert fixed-bed section

    Coolant

    Distributor & aggregator (for radial distribution)

  • 2014 Process Systems Enterprise Limited

    Co

    ola

    nt

    Co

    ola

    nt

    Energy carried by solid-gas

    diffusive mass transfer

    Intra-pellet heat

    conduction

    Bed heat and mass transfer phenomena

    Convective heat

    transfer in coolant

    Heat transfer

    between packed bed

    and wall

    Axial convective heat

    transfer in gas

    Heat transfer

    between solid and

    gas

    Radial heat

    conduction in

    packed bed

    Heat transfer between

    tube and coolant

    Radial conduction

    in tube walls

    Multicomponent solid-

    gas mass transfer

    Intra-pore

    diffusion

    Heat conduction

    Catalytic reaction on

    pore surface

    Radial

    diffusion/dissipation

    Intra-pore

    convection

    Catalyst pellets/ inert

    Tube wall

    Thermowell

    Catalyst

    pellet

    Diffusion

    across film

    Catalyst pellet heat and mass transfer phenomena

  • 2014 Process Systems Enterprise Limited

    Advanced Process Modelling execute & deploy

    3. Execute model in native form within

    gPROMS ModelBuilder

    coolant flowrate

    inner tube limit

    baffle window size

    baffle span

    outer tube limit

    coolant temp

    reactor diameter

    tube size

    arrangement, pitch

    1

    2

    3 4 5

    7

    9

    tube length

    8

    11

    Shell temperature contours from FLUENT

    Axial and radial tube temperature profiles from ModelBuilder

    Optimise design parameters and operating conditions

    Link to CFD for shell-side hydrodynamics

  • 2014 Process Systems Enterprise Limited

    Advanced Process Modelling execute & deploy

    4. Deploy model in exported form within

    Within MATLAB, using gO:MATLAB

    behind a bespoke web, VBA or Excel interface, using gO:Run

    within PRO/II via gO:CAPE-OPEN

    Leverage investment Gain multiple payback

  • 2014 Process Systems Enterprise Limited

    Key advantages

    gPROMS ModelBuilder

    Design-level reactor models

    Fit experimental data accurate kinetics

    Characterise catalyst

    Analyse startup and grade change

    Optimise operating conditions for max catalyst life

    PRO/II

    Corporate standard flowsheeting

    Accurate reaction combined with distillation and other flowsheet elements

    Consistent physprops

    All other advantages of PRO/II

    Leverage investment enhanced ROI

    Best of both

  • 2014 Process Systems Enterprise Limited

    Access to high-fidelity models using CAPE-OPEN

  • 2014 Process Systems Enterprise Limited

    What is CAPE-OPEN?

    An industry standard for interoperability-interfaces between software components

    THE non-proprietary interface standard in process simulation

    A successful collaboration between software vendors, end-users and academics

    A proven IT technology implemented in most process simulation tools

    Maintained through CAPE-OPEN Laboratories Network (CO-LaN)

    CAPE = Computer Aided Process Engineering

  • 2014 Process Systems Enterprise Limited

    What are the steps to use a gPROMS model in PRO/II ?

    1. Build your gPROMS model (client)

    2. Export it using a GUI

    3. Import it into PRO/II (host)

    4. Run your simulation

  • 2014 Process Systems Enterprise Limited

    Features of CAPE-OPEN

    Features of CAPE-OPEN:

    Information flow is well-defined

    Physical property package of host (PRO/II) is automatically used to ensure full consistency in the flowsheet

    Access to settings of custom model through standard interface

    Solution engine of client (gPROMS) is used to solve the model

  • 2014 Process Systems Enterprise Limited

    D E M O

    1

    5

  • 2014 Process Systems Enterprise Limited

    Recorded DEMO

  • 2014 Process Systems Enterprise Limited

    End result

    High-fidelity models available in your favorite flow sheeting tool: PRO/II

    Any type of model

    Virtually any size/level of detail

    Better predictability due to parameter estimation capability results in

    Safer operation

    More efficient and reliable operation

    More profit

  • 2014 Process Systems Enterprise Limited

    Thank you