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BPT SimApps

BPT-MR

High-Fidelity Modelling of Methanol Synthesis Reactors

Specialized Simulator Extensions for the Sustainable Energy Sector

Used by green innovators, operators, investors, EPCs, automation vendors and BPT in de-risking studies and lifecycle simulator projects
BPT-MR
BPT-MR

De-risk and optimize your green Methanol projects

Introduction:

BPT-MR allows high-fidelity modelling of Methanol synthesis reactors.
This unit operation can be used for early design, control system checkout and operator training simulators.  

What is BPT-MR?

To be able to achieve the energy transition, accurate and benchmarked simulation models need to be available and utilized. The complexity in green energy projects must be considered during design, engineering, commissioning and throughout operation. The only way to achieve this is by simulating and studying the dynamic effects.

BPT-MR is a unique unit operation for process simulators covering high-fidelity modelling of Methanol synthesis reactors. This software extension seamlessly integrates with industry-leading process simulators, along with well-proven workflows, forming a superb digital solution for optimizing and de-risking process facility design at an early stage.

BPT-MR enables detailed and accurate MeOH synthesis evaluations in a digital environment for applications such as e-methanol plants. Providing highly accurate steady state and dynamic reactor models enhancing design at an early stage as well as safeguarding return-of-investments.

Compatibility

The BPT-MR software comes as an extension for HYSYS, UniSim Design and Petro-SIM.

Examples of use cases

Methanol plants

For various Digital Twin and Lifecycle Simulator applications

Early concept design simulations
Detailed engineering simulator
Control system check-out
Operator training simulator (OTS)
Online operational performance monitoring application

Flexible geometry

Fixed bed reactor (FB)
Fluidized bed reactor
Liquid-phase reactor

Benefits and key findings:
  • Steady state and dynamic model with a full lifecycle approach
  • Easy to implement total reactor volume in different segments assuming perfect mixing
  • Implementation of rigorous kinetic parameters
  • Allows for varying and tunable heat transfer parameters throughout the reactor
  • Supporting different cooling medium types in both steady and dynamics
  • Suitable for standalone models of the MR reactor or integrated simulation model with a larger plant
  • Catalyst degradation and its effect
  • Model thermal lag

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