"Just as an engineer builds up control strategies using a set of control modules and layered interfaces, we are breaking down the analytics in a similar way." Emerson's Mark Nixon discussed ongoing research that will enable processors to more easily use data analytics to infer compositional measurementsâwithout waiting for lab results.
The DWC in particular, is used to separate three components in a single operation, said Bailee Roach, grad student at the University of Texas. "With standard distillation techniques, it requires two distillation columns, two reboilers, two condensers," she said. "With the DWC, you can separate the third component from the same column. Not only can you save on equipment cost, you can save energy as well. We estimate a 30% to 50% energy and equipment cost saving by using a DWC."
Explore the Data
"In the past we really relied on off-line analysis of column samples, but it could take up to 2.5 hours to know where we were in the process," said Roach. For more real-time control adjustments, they're now relying on inferred measurements based heavily on data analytics.
To facilitate visualization and analysis of column data, the researchers are using the Seeq data analysis platform, which is designed specifically for bringing together time-series data such as that generated by the DWC. "It gave us the ability to explore combinations of lab and process data.
The research team is also pioneering the development of a new "analytics studio" for the DeltaV platform. "Just as an engineer builds up control strategies using a set of control modules and layered interfaces, we are breaking down the analytics in a similar way," said Nixon. "You have analytical control blocks that can be used to gather, clean and manipulate raw data, then generate predictive models." Operators, in turn, can use the models to predict stream composition without waiting for lab analysis.
Although inferred measurements are not yet a replacement for lab measurements, they do provide an early indication on where the process is headed, Nixon said. The combination of Seeq software with the DeltaV system provides a platform to capture and explore data, develop and deploy data-based models for product property prediction as well as fault detection, identification and diagnosis.