2012
DOI: 10.1016/j.conengprac.2012.04.010
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Improved optimization methods for refinery hydrogen network and their applications

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Cited by 28 publications
(32 citation statements)
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“…Later, they developed a rigorous targeting approach with the pinch insight combined [36], and this method is extended to hydrogen networks with purification reuse [37]. Han et al [38], Jiao et al [39], Lou et al [40] employed the robust optimization method to optimize hydrogen networks. There are also some other mathematical programming methods considering different constraints and optimization targets [26e28,41e46].…”
Section: Introductionmentioning
confidence: 98%
“…Later, they developed a rigorous targeting approach with the pinch insight combined [36], and this method is extended to hydrogen networks with purification reuse [37]. Han et al [38], Jiao et al [39], Lou et al [40] employed the robust optimization method to optimize hydrogen networks. There are also some other mathematical programming methods considering different constraints and optimization targets [26e28,41e46].…”
Section: Introductionmentioning
confidence: 98%
“…In the former case, the hydrotreaters and hydrocrackers were unreasonably described in the past according to fixed operating conditions and, also, the steam reforming plant was modelled simply as a hydrogen provider without any provisions for possible recycle. Although Jiao et al (2012) treated the inlet flow rates and concentrations of hydrogen users as variables, their models were still logically inconsistent since the corresponding outlet conditions were fixed. In the latter case, the often-encountered seasonal variations in model parameters and the design options to add extra processing units were often ignored in the conventional approach.…”
Section: Introductionmentioning
confidence: 99%
“…These methods can deal with complex system and achieve utility target, but the solving process is often complicated. Many mathematical models, including linear programming (LP), non-linear programming (NLP), mixed-integer linear programming (MILP) and mixed-integer non-linear programming (MINLP) models, have been developed to optimize hydrogen distribution systems [9][10][11][12][13][14][15]. Hallale and Liu [9] proposed a superstructure based approach for hydrogen networks accounting for pressure constraints and economic issues.…”
Section: Introductionmentioning
confidence: 99%
“…Based on the automated design approaches of Hallale and Liu [9] and Liu and Zhang [13], Ahmad et al [14] proposed a method for multi-period design of A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT 5 hydrogen networks. Jiao et al [15] proposed two mathematical methods based on two-step approach and simultaneous optimization approach to make efficient use of hydrogen streams.…”
Section: Introductionmentioning
confidence: 99%