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 publication3th International Symposium on Process Systems Engineering (PSE 2018)
PublisherElsevier
Pages1177-1182
Number of pages6
ISBN (Electronic)9780444642424
ISBN (Print)9780444642431, 9780444642417
DOIs
Publication statusPublished - 19 Jul 2018

Publication series

NameComputer Aided Chemical Engineering
Volume44
ISSN (Print)1570-7946

Keywords

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

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Synthesis of Refinery Hydrogen Networks with Parametric Uncertainties'. Together they form a unique fingerprint.

  • 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 3th International Symposium on Process Systems Engineering (PSE 2018) (pp. 1177-1182). (Computer Aided Chemical Engineering; Vol. 44). Elsevier. https://doi.org/10.1016/B978-0-444-64241-7.50191-9