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 or section in a book/report/conference proceedingChapter or section

2 Citations (SciVal)


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
Number of pages6
Publication statusPublished - 1 Jan 2018

Publication series

NameComputer Aided Chemical Engineering


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

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications


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