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A steady-state analysis method for optimal operation of dividing-wall column

  • Junwen Luo
  • , Chunjian Xu*
  • , Yawen Zhang
  • , Kaixin Yan
  • , Jesse Zhu
  • *Corresponding author for this work

Research output: Journal PublicationArticlepeer-review

8 Citations (Scopus)

Abstract

Optimal operation indicates energy consumption (Q) close to its Qmin while product specifications are satisfied. Generally, for DWC, there are two manipulated variables (MVs) to keep Q close to Qmin. Therefore, there are three operation mode, which are two MVs online optimization (Mode 2), single MV online optimization (Mode 1) and two MVs fixed (Mode 0). A steady-state analysis method for optimal operation of DWC with disturbance is presented. In the method, whether optimal operation can be achieved under Mode 0/ Mode 1 can be determined. Feedback is used for the online optimization under Mode 1 and Mode 2. The relation between degree of closeness (between Q and Qmin) and setpoint range of manipulated variable/control variable can be acquired. For ternary separation, dilution effect in DWC is proposed. It reveals DWC may need online optimization. Implementation error is discussed. Disturbance and implementation error can be handled by using the proposed method simultaneously. The important ternary separation of benzene, toluene, and o-xylene in industry is used as an example to illustrate the method. In the case, optimal operation can be realized under Mode 1 and Mode 2.

Original languageEnglish
Pages (from-to)112-127
Number of pages16
JournalComputers and Chemical Engineering
Volume119
DOIs
Publication statusPublished - 2 Nov 2018
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Free Keywords

  • Dividing-wall column
  • Feedback
  • Online optimization
  • Optimal operation
  • Sensitivity analysis
  • Steady state

ASJC Scopus subject areas

  • General Chemical Engineering
  • Computer Science Applications

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