Cracking furnaces are one of the most crucial parts of an ethylene complex. They set the production and yield for the entire plant. For furnace-limited plants, when a furnace is down, whether for maintenance or decoking, production is lost.
model predictive control
Case Study in Carbon Black Process Optimization
Emerson's Dr. Tiffany Tang presented Novel Idea of Model Predictive Control on Fast Process! First Application at the 2019 Emerson Exchange conference. Here is Tiffany's abstract: Carbon black formation reaction is a fast process in the order of seconds. An...
Advancing Digital Twin Technology
Digital twins provide a simulation of the manufacturing or production process as well as the automation systems which control it. Depending on the level of fidelity of the process models, this digital twin can have many uses. I caught up with Emerson's Zuwei Jin who...
Improved Steam Temperature Control Strategies
As electrical power producers and cogeneration facilities must handle the load swings produced on the supply and demand side. Optimizing steam temperature control is one key way to improve the reliability of on boilers and heat recovery steam generators (HRSGs) caused...
Applying Embedded Model Predictive Control
The history of model predictive control (MPC) dates back to the early 1970s invented at Shell Oil and was known as Dynamic Matrix Control. MPC was designed at that time to solve largescale control challenges. As technology advanced, this technology could be more...
Improving Control Performance
Today is the final day of the 2018 Emerson Exchange conference. The last session I'm attending is on Control Performance with Emerson's James Beall, Courtney (Eddie) Lane, Dirk Thiele and Aspentech's Alex Kalafatis. After the panel introduced themselves, Dirk opened...
Selling Value of Digitalization Projects
Emerson's Laurie Ben and James Beall presented How to Sell the Value of Digitalization with MPC at the 2018 Emerson Exchange conference. Laurie opened by describing different ways digitalization is described—Industrial Internet of Things, Industry 4.0, and Digital...
Handling Processes with Long Lag Times
Emerson's Mircea Lupu shared his thoughts on Ovation system algorithms for handling processes with long lag times—a control challenge that vexes many. Mircea opened noting that control algorithms are at the heart of any control system to provide stable and accurate...
Advanced Startup Automation in the Power Industry
At the 2018 Ovation Users' Group Conference, a power producer shared their story of how they improved their unit startups through the application of advanced technology. The US electrical power grid is evolving rapidly as it adds more renewable generation from solar...
Wireless Multi-Rate Model Predictive Control
Communications networks have become pervasive at many levels in control system architectures. As wireless networks and the Industrial Internet of Things become more common, the complexity and security requirements for these networks grows. Emerson's Felipe Fakir...
Model Predictive Control in Power Generation
Model predictive control in power generation was the subject of a 2017 Ovation Users Group presentation by Emerson's Ranjit Rao. Rajit opened comparing classical control with model-based control. In classical control, a proportional-derivative-integral loop is used...
Model Predictive Control Tips & Techniques Preview
Moving from the theoretical world of proportional-integral-derivative control to applying it successfully is a hurdle new process control engineers face. Once mastered, the next step might be in applying advanced process controls. Model predictive control, neural...
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The opinions expressed here are the personal opinions of the authors. Content published here is not read or approved by Emerson before it is posted and does not necessarily represent the views and opinions of Emerson.