Synthesis of Refinery Hydrogen Networks with Parametric Uncertainties

Zhi Ting Chen, Jui Yuan Lee, Viknesh Andiappan, Chun Deng, Denny K.S. Ng

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

This work presents a fuzzy optimisation model for the synthesis of refinery hydrogen networks under uncertainty. Based on a generic superstructure that incorporates all the possible connections between the hydrogen system elements (sources, sinks, compressors etc.), the mathematical formulation consists mainly of flowrate and impurity load balances, where fuzzy intervals are introduced to account for parametric uncertainties. Pressure constraints and the optimal placement of compressors are also taken into account. A case study is presented to illustrate the proposed approach.

Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier
Pages1177-1182
Number of pages6
DOIs
Publication statusPublished - 1 Jan 2018

Publication series

NameComputer Aided Chemical Engineering
Volume44

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Keywords

  • fuzzy optimisation
  • hydrogen management
  • mathematical programming
  • process integration

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

Chen, Z. T., Lee, J. Y., Andiappan, V., Deng, C., & Ng, D. K. S. (2018). Synthesis of Refinery Hydrogen Networks with Parametric Uncertainties. In Computer Aided Chemical Engineering (pp. 1177-1182). (Computer Aided Chemical Engineering; Vol. 44). Elsevier. https://doi.org/10.1016/B978-0-444-64241-7.50191-9