@inbook{8bd2495510a94c1abeeb3a6b1e75387d,
title = "Optimization of Refinery Hydrogen Network with Parametric Uncertainties",
abstract = "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.",
author = "Jian Liu and Yeyang Zhou and Meiqian Zhu and Chun Deng and Lee, {Jui Yuan}",
note = "Publisher Copyright: {\textcopyright} 2019 Elsevier B.V.",
year = "2019",
doi = "10.1016/B978-0-12-818597-1.50013-8",
language = "English",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier B.V.",
pages = "77--82",
booktitle = "Computer Aided Chemical Engineering",
}