Optimal allocations of area margins and spares to accommodate HEN cleaning schedules

Bo Jyun Liao, Kuang Ting Yi, Chuei-Tin Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Due to fouling in one or more heat-transfer unit, the target temperatures of process streams in a heat exchanger network (HEN) may not be achievable after a sufficiently long period of operation. To circumvent this practical problem, a given HEN design should be modified to accommodate online cleaning operations via proper allocation of area margins and spares. Specifically, the candidate units for incorporating margins can be first identified on the basis of sensitivity analysis. The potential locations of additional auxiliary heaters/coolers and bypasses can then be determined according to the heat-load loops and paths embedded in HEN so as to facilitate compensation of the removed duties during defouling. The optimal design refinements and also the spare-supported cleaning schedule can be generated by solving a mathematical programming model formulated on the basis of a superstructure. A simple example is presented in this paper to illustrate the proposed modeling procedure and to demonstrate the feasibility of this scheduling approach.

Original languageEnglish
Title of host publication2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages37-42
Number of pages6
ISBN (Electronic)9781509043972
DOIs
Publication statusPublished - 2017 Jul 18
Event6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017 - Taipei, Taiwan
Duration: 2017 May 282017 May 31

Other

Other6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
CountryTaiwan
CityTaipei
Period17-05-2817-05-31

All Science Journal Classification (ASJC) codes

  • Process Chemistry and Technology
  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Modelling and Simulation

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