gPROMS
gPROMS is a process modelling environment that creates high-fidelity “Digital Process Twins” by capturing the fundamental physics and chemistry of a process in a mathematical model. It is used throughout the entire process lifecycle, from research and development (R&D) to engineering design, plant operations, and maintenance.
Key features include:
Predictive modelling: Uses first-principles models of process physics to predict how a system will behave.
Process optimization: Applies state-of-the-art mathematical techniques to analyse and optimize process designs and operations.
Reduced experimentation: Streamlined workflows and integration of experimental data can reduce the need for laboratory and pilot plant trials.
High-value applications: Deployed in real-time as online applications for monitoring, soft-sensing, performance forecasting, and process control.
Specialized solutions: Includes variants like gPROMS Formulated Products for the pharmaceutical industry and gPROMS Process for general process design.
For Process and Chemical Engineering
gPROMS Process: A general-purpose modelling environment for process design and operations.
Supports the entire process lifecycle, from design to operations; includes libraries for common unit operations like distillation columns and reactors; integrates with other Siemens products like SIMIT for operator training.
gPROMS Formulated Products: A specialized environment for the pharmaceutical and formulated products industry. Offers mechanistic models for drug substance manufacturing and formulation; helps accelerate R&D, tech transfer, and control strategy development.
For Specific Unit Operations
gPROMS-Process Separation: A module with models for separation processes. Includes models for distillation, absorption, and various types of separators (e.g., equilibrium tray/packed columns, filters, dryers, centrifuges).
gPROMS-Process Reaction: A module for modelling chemical reactions. Provides models for catalytic reactors, including fixed-bed and multi-tubular reactors; can integrate custom kinetics and experimental data.
How they work together
Digital Applications: High-fidelity models from the gPROMS desktop environment can be deployed as online applications connected to real-time data systems in a plant, enabling operational optimization, soft-sensing, and advanced control.
Integration: gPROMS can integrate with other platforms like SIMIT for operator training and SIGREEN to track and optimize product carbon footprints.
Modular Approach: The use of modules allows users to build models by combining pre-built components for different unit operations, which streamlines the modelling process and ensures consistency.
Applications
The technology is leveraged to:
Build an integrated ecosystem: By linking gPROMS with other Siemens products such as COMOS for plant data, SIMIT for automation testing, and SIMATIC PCS 7 for control systems, Siemens enables a consistent data flow across the plant lifecycle.
Accelerate digital transformation: The combination provides advanced process simulation and modelling, which are key to realizing “Industry 4.0” and other digital initiatives.
Enhance plant efficiency: Predictive gPROMS models can be combined with real-time plant data to optimize production processes, improve efficiency, and reduce costs throughout a plant’s lifetime.
Drive sustainability: The technology is applied to support the energy transition and sustainability goals, such as optimizing designs for clean energy processes and reducing emissions.
