2017
DOI: 10.1016/j.ijhydene.2017.06.152
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CFD analysis of a hybrid sorption-enhanced membrane reactor for hydrogen production during WGS reaction

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Cited by 38 publications
(7 citation statements)
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“…Palladium membranes were mostly applied in MRs for high-grade hydrogen generation [22][23][24][25][26][27][28][29], but in recent years several scientists investigated other membrane materials to evaluate the effectiveness of non Pd-based membranes applied to MRs, with the main purpose of achieving more economical solutions than Pd-based membranes utilization [30,31]. Compared to other membranes, silica membranes and their applications in MRs for hydrogen generation received particular attention since they are cheaper, show higher permeability and result in more robust than Pd-based membranes [30,[32][33][34][35]. As illustrated in Figure 7, the interest towards silica MRs from both an experimental and modeling point of view is testified by an increasing number of scientific publications in this field.…”
Section: Application Of Silica Membranes In Mr Systemsmentioning
confidence: 99%
See 1 more Smart Citation
“…Palladium membranes were mostly applied in MRs for high-grade hydrogen generation [22][23][24][25][26][27][28][29], but in recent years several scientists investigated other membrane materials to evaluate the effectiveness of non Pd-based membranes applied to MRs, with the main purpose of achieving more economical solutions than Pd-based membranes utilization [30,31]. Compared to other membranes, silica membranes and their applications in MRs for hydrogen generation received particular attention since they are cheaper, show higher permeability and result in more robust than Pd-based membranes [30,[32][33][34][35]. As illustrated in Figure 7, the interest towards silica MRs from both an experimental and modeling point of view is testified by an increasing number of scientific publications in this field.…”
Section: Application Of Silica Membranes In Mr Systemsmentioning
confidence: 99%
“…It is generally accepted that the main benefit deriving from the modeling of such a process is due to cost saving, originated by the reduction of the experimental tests number. Concerning silica membranes and their applications in MRs, computational fluid dynamics (CFD), black box and molecular dynamic (MD) models were applied in various studies as addressed in literature [32][33][34], but most of them are based on 1-D model with a mass balance equation; in other cases, 2-D models were based on the utilization of CFD method. Table 4 reports some of the most representative modeling studies on silica MRs, highlighting the main details about them.…”
Section: Modeling Of Silica Mrsmentioning
confidence: 99%
“…5 Hence, the deployment of an environmentally friendly and economically attractive process 6 with a low energy-penalty is of huge interest to researchers. Various research studies have been carried out to address the limitations of steam methane reforming (SMR) 7,8 which include Sorption Enhanced Reforming (SER), 9–29 Membrane Reforming (MR), 17,25,30–33 integrated Sorption Enhanced Membrane Reforming (SEMR) 34,35 and Gas Switching Reforming (GSR). Abanades et al 24,36–38 proposed the use of Ca/Cu looping in a single reactor through a three-step process; (a) sorption enhanced reforming with simultaneous carbonation of CaO; (b) oxidation of Cu to CuO with air; (c) calcination of CaCO 3 during the reduction of CuO with a fuel gas.…”
Section: Introductionmentioning
confidence: 99%
“…The model results agreed well with experimental results, when assuming a thickness of the stagnant mass transfer boundary layer around the membrane to be a predetermined value. Ghasemzadeh et al 59 studied a sorptionenhanced water gas shift reaction in a Pd−Ag membrane fixed bed reactor, using a two-dimensional, isothermal model, and the film transport resistance at the interface of gas/membrane was considered to be negligible. Ji et al 47 developed a computational fluid model to simulate sorption-enhanced steam reforming of methane in a fixed bed membrane reactor.…”
Section: ■ Introductionmentioning
confidence: 99%