Optimization of Refinery Hydrogen Network with Parametric Uncertainties

Jian Liu, Yeyang Zhou, Meiqian Zhu, Chun Deng, Jui Yuan Lee

研究成果: Chapter

5 引文 斯高帕斯(Scopus)

摘要

Hydrogen is a crucial and expensive resource for hydrotreating and hydrocracking in refineries. This paper presents a fuzzy optimization model for the synthesis of refinery hydrogen network with multiple components under parametric uncertainty. We introduced a superstructure-based mathematical model that comprises all the possible connections between the hydrogen sources and sinks. Four components, namely H2, H2S, C3 + and other components are considered. The fuzzy flowrate intervals are introduced to address parametric uncertainties. It is formulated as nonlinear programming with the maximum overall degree of fuzzy constraint satisfaction as the objective function. One simplified industrial case is analysed to illustrate the proposed approach. It considers hydrogen conservation to be balanced with the risks associated with flowrate uncertainty.

原文English
主出版物標題Computer Aided Chemical Engineering
發行者Elsevier B.V.
頁面77-82
頁數6
DOIs
出版狀態Published - 2019

出版系列

名字Computer Aided Chemical Engineering
47
ISSN(列印)1570-7946

All Science Journal Classification (ASJC) codes

  • 一般化學工程
  • 電腦科學應用

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