Yokogawa unveils Dynamic Real Time Optimizer, helps optimise plant operations

Yokogawa unveils Dynamic Real Time Optimizer, helps optimise plant operations
Published: 15 October 2019 - 7 a.m.
By: Martin Menachery
Yokogawa Electric Corporation announces the release of Dynamic Real Time Optimizer, a solution in the OpreX Asset Operations and Optimization family. Using a combination of first principles simulation and multivariable predictive control technology, the Dynamic Real Time Optimizer software helps to optimise plant operations.

This integrated solution is based on Yokogawa's advanced process control technologies and industry knowledge and simulation technologies developed by KBC Advanced Technologies Limited, a UK-based Yokogawa subsidiary. This solution enables plants to quickly respond to dynamically changing oil market and product market conditions and improve both productivity and profitability.

Advanced process control systems improve product yield and reduce energy consumption by maintaining temperature, flow rate, pressure, and other process variables within a set range and keeping them as close as possible to their optimal values, even for production processes whose parameters are not easily controlled by conventional control systems.

Such advanced control systems are increasingly used in facilities such as oil refineries, petrochemical plants, chemical plants, and natural gas liquefaction trains. Advanced control solutions are attracting considerable interest due to their high economic value.

Multivariable advanced control systems determine the optimal value for plant independent variables. The optimal values are calculated based on information such as feedstock quality and prices, product specifications and prices, and energy costs. In a dynamically changing market, an advanced control system optimises the operation of a plant in real time based on changes in raw material properties, product demand, and operating conditions.

Using Yokogawa’s advanced control technology and KBC's industry knowledge and simulation technology, the company is able to perform highly accurate dynamic real-time optimisation using rigorous models, in response to dynamically changing plant and market conditions.

Dynamic Real Time Optimizer calculates the optimal values for plant independent variables with a high level of accuracy and was developed based on KBC's Petro-SIM process simulation platform, which includes functions for online use. This solution acquires data through online connections to control systems and plant information management systems (PIMSs) and carries out case study simulations to generate rigorous models and calculate additional inferred properties. Based on these models and operating conditions, the optimal values are calculated by applying mathematical programming, and implemented online by the advanced control system.

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