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Distillation optimization: Parameterized relationship between feed flow rate of a steady-state distillation column and heat duties of reboiler and condenser
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  • Ivan Sukin,
  • Anatoly Tsirlin,
  • Alexander Balunov,
  • Ilya Starodumov
Ivan Sukin
Ailamazyan Program Systems Institute of Russian Academy of Sciences

Corresponding Author:[email protected]

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Anatoly Tsirlin
Ailamazyan Program Systems Institute of Russian Academy of Sciences
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Alexander Balunov
Yaroslavl State Technical University
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Ilya Starodumov
Ural Federal University named after the first President of Russia B N Yeltsin
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Abstract

The paper considers the problem of maximum efficiency for the system of distillation columns. Columns in such systems are connected in parallel or sequential way. The mixture being separated is assumed to be close to ideal one. Authors parameterize the relationship between feed flow rate and heat duties of a steady-state binary distillation column using two parameters: the reversible efficiency and the irreversibility coefficient. This relationship is later being used to solve the problems about optimal distribution of heat and feed flows within the system. The results obtained allow to estimate minimum heat energy demand for distillation of the given feed flow, maximum performance and efficiency of the system.
31 May 2021Submitted to Mathematical Methods in the Applied Sciences
01 Jun 2021Submission Checks Completed
01 Jun 2021Assigned to Editor
05 Jun 2021Reviewer(s) Assigned
09 Nov 2021Review(s) Completed, Editorial Evaluation Pending
10 Nov 2021Editorial Decision: Revise Minor
24 Nov 20211st Revision Received
25 Nov 2021Assigned to Editor
25 Nov 2021Submission Checks Completed
09 Dec 2021Reviewer(s) Assigned
11 Dec 2021Review(s) Completed, Editorial Evaluation Pending
18 Mar 2022Editorial Decision: Revise Major
18 Mar 20222nd Revision Received
21 Mar 2022Submission Checks Completed
21 Mar 2022Assigned to Editor
21 Mar 2022Reviewer(s) Assigned
22 Mar 2022Review(s) Completed, Editorial Evaluation Pending
25 Mar 2022Editorial Decision: Accept
Jun 2022Published in Mathematical Methods in the Applied Sciences. 10.1002/mma.8454