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Dividing-wall column for separating wide boiling mixture: Optimal design and servo control strategy
被引:0
|作者:
Aurangzeb, Md
[1
,3
]
Banerjee, Sudip
[2
]
Roy, Subhankar
[1
]
Tejasvi, Ravi
[1
]
机构:
[1] Pandit Deendayal Energy Univ, Sch Energy Technol, Dept Chem Engn, Gandhinagar, Gujarat, India
[2] Indira Gandhi Inst Technol, Dept Chem Engn, Sarang, Odisha, India
[3] Pandit Deendayal Energy Univ, Sch Energy Technol, Dept Chem Engn, Gandhinagar 382426, Gujarat, India
关键词:
dividing-wall column;
genetic algorithm;
proportional-integral controller;
servo problem;
total annual cost;
IMPROVING ENERGY EFFICIENCY;
MODEL-PREDICTIVE CONTROL;
VAPOR RECOMPRESSION;
DISTILLATION;
OPTIMIZATION;
SIMULATION;
OPERATION;
SAVINGS;
D O I:
10.1002/apj.3065
中图分类号:
TQ [化学工业];
学科分类号:
0817 ;
摘要:
The dividing-wall column (DWC) stands as an energy-efficient distillation technology designed to efficiently separate ternary systems into their pure components within a single column. Despite its efficiency, integrating two towers into a DWC poses challenges in controllability. Published studies have focused on developing controllers for disturbance rejection but have not addressed the issue of servo control. Addressing this, our study proposes a servo controller problem and a methodical approach to strategically select controlled variables that undergo consecutive set point step changes, aiming to track the purity of key products obtained from the DWC. To achieve this goal, we developed a dynamic model specifically tailored to the DWC. Determining the design parameters involved employing a genetic algorithm optimization technique, minimizing the total annual cost. Subsequently, we implemented three servo parallel proportional-integral (PI) feedback controllers for three distinct product streams. The fine-tuning of their controller gain and reset time is carried out by minimizing the integrated square error while adhering to valve opening constraints. Our investigation revealed a limitation: the introduction of simultaneous step changes in all three controlled variables proved unfeasible with the three active PI controllers. As an alternative, our findings recommend prioritizing two variables: the lightest (distillate) and heaviest (bottom) key components, alongside the middle component (side stream) and either the lightest or heaviest key component. This research underscores the complexities of implementing step changes in multiple controlled variables within a DWC, offering insights into optimal control strategies for enhancing the efficiency of this innovative distillation technology.
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页数:15
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