gPROMS

gPROMS is a software environment for the development and execution of advanced process models. It is designed to support the entire lifecycle of model-based process development and operation, from conceptual design and optimization to real-time control and monitoring. gPROMS allows users to build detailed mathematical models of chemical, physical, and biological processes. These models can then be used for a variety of purposes, including simulation, optimization, control design, and data reconciliation.

The core of gPROMS is its modeling language, which is based on differential-algebraic equations (DAEs). This allows for the representation of complex dynamic systems with both continuous and discrete variables. The software provides a comprehensive library of pre-defined models and components, as well as tools for creating custom models. gPROMS also includes powerful solvers for DAEs, enabling efficient and accurate simulation of process behavior.

Beyond simulation, gPROMS offers extensive capabilities for optimization. Users can define objective functions and constraints to find optimal operating conditions, design parameters, or control strategies. This is achieved through various optimization algorithms, including gradient-based methods and global optimization techniques. The software can also be used for parameter estimation, fitting model predictions to experimental data to determine unknown model parameters.

In the realm of control, gPROMS facilitates the design and implementation of advanced control strategies, such as model predictive control (MPC). It allows for the development of controllers that use process models to anticipate future behavior and make proactive adjustments. Furthermore, gPROMS can be deployed in real-time applications for online monitoring, diagnosis, and control of industrial processes, contributing to improved efficiency, safety, and product quality.