Process Control
Predicting important parameters using artificial neural networks
Consider them for complex nonlinear processes
Redesign of a compressor antisurge control loop using dynamic simulation
The new design solved the two-phase flow problem
Process modeling and optimization strategies integrating neural networks and differential evolution
The technology was applied to an ethylene oxide reactor
Real-time performance measurement improves plant operations
The technology is saving Sasol more than $400,000 per year
Fault-tolerant control protects processes and products
The benefits include automatic recovery from faults, improved safety and prevention of severe product contamination
Improve speed and convergence of distillation column simulation
The proposed bounding method significantly improves performance
HP Control: Alkylation product separation control
People do not speak much about advanced process control (APC) of alkylation product separation. Why? Precise product separation is crucial to alkylation unit economics. Alky reactor effluent is separa..
FOUNDATION technology: solution for plant safety instrumented functions
Here are the considerations for applying this fieldbus in these applications
Avoiding plant tests with dynamic simulation
A model-predictive controller based on models derived from first-principles dynamic simulation as an alternative to empirical models identified from plant test data is presented
Optimize steam system control with dynamic simulation
Dynamic simulation was used to evaluate two control schemes of a steam utility system
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