Multivariate prediction to control the safety of methanol rectification

In the chemical production process, conventional control usually requires the operator to judge the process condition of the device by experience, and maintain the stable operation of the device by adjusting the set values ​​of each conventional control system. However, due to the differences in experience and operation methods of operators, it is difficult to maintain consistency in production operations of different teams. For example, the methanol rectification system is a complex multivariable process with multiple towers connected in series and existing in heat integration. The conventional control system cannot fundamentally solve the influence of human factors, which brings certain difficulties to the operation stability, product recovery rate and consumption reduction.

The methanol branch of Daqing Oilfield Chemical Group has implemented advanced control technology transformation of the distillation system and adopted multivariable predictive control, which is an advanced control technology that combines model prediction and feedback control. The project established an advanced control system for the rectification unit. Firstly, a high-variable multivariable robust predictive control software APC-Adcon was used to design a large APC controller to control a methanol unit rectification unit, and an optimized calculation method was adopted. This optimization control technology is based on the process simulation. According to the characteristics and operation of each distillation column of the rectification unit, a reasonable multivariable predictive control model is established to achieve the function of meeting local control requirements and assisting advanced control software. .

After the project was put into operation, the effect was very obvious. The overall automation level of the rectification unit is improved, the multivariable control problem of the rectification system is effectively solved, the influence of human factors is reduced, and the running stability of the device is improved. In the case that the existing DCS control system is operating normally, the operation rate of the advanced control system is over 95%, and the consistency of production operations is maintained. Operational optimization and "edge" control were achieved to increase methanol yield by 0.2%; unit steam consumption was reduced by 2.5% to an average of 0.5 ton/hr.

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