Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by 1.

In such crackers, advanced process control (APC) such as model predictive control (MPC) and also real-time optimization (RTO) have been in common use for a long time. The situation is different in the ...

The next step to monitor KPIs in a plant control system is to collect and store the data that you need to calculate and evaluate your KPIs. This may involve using various types of sensors, such as ...

MES (manufacturing execution system) is a critical component of the operations technology stack. This technology provides the ability to optimize the manufacturing process through applications such as ...

Most control algorithms are usually developed based on a nominal plant model. Design criteria such as gain and phase margins can ensure acceptable performance when there are slight changes in plant ...

For example, a plant’s railcar-unloading system will usually have a ducted dust collection system, a passive enclosure chamber, or some form of control spray.

The paper presents development of mathematical model of steam power plant for studies of reactive power - voltage (Q-V) control. The model of realistic six generator power plant is developed in Matlab ...

Information contained in this publication and on the accompanying CD-ROM provides useful guidance and a wide range of practical examples that will be helpful for both nuclear power plant (NPP) ...