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Applied Energy
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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H2 production with low carbon content via MSR in packed bed membrane reactors for high-temperature polymeric electrolyte membrane fuel cell

Authors: P. Ribeirinha; M. Abdollahzadeh; M. Boaventura; A. Mendes;

H2 production with low carbon content via MSR in packed bed membrane reactors for high-temperature polymeric electrolyte membrane fuel cell

Abstract

Abstract This work compares the hydrogen purity and recovery produced by a methanol steam reforming (MSR) packed bed membrane reactor (PBMR) equipped with a membrane selective to hydrogen (Pd-Ag) and with a membrane selective to carbon dioxide (porous membrane filled with ionic liquids-ILs). A 3-dimensional non-isothermal PBMR model was developed in Fluent (Ansys™) for simulating a PBMR equipped with these two types of membranes and simulating a conventional packed bed reactor (PBR). For the development PBMR models a MSR mechanistic kinetic model was fitted to experimental reaction rates of a commercial catalyst (BASF RP60). The results indicated that selective hydrogen removal from the reaction medium originates a significant increase in the methanol conversion, while the carbon dioxide removal has a smaller effect. CO 2 -PBMR showed to be more efficient in terms of energy consumption than H 2 -PMBR. The simulation results showed also that ILs membranes must have a minimum permeance of ⩾1 x 10 −6 mol s −1 m −2 Pa −1 and CO 2 /H 2 selectivity of ⩾200 at 473 K to be attractive for this type of applications. The advantages and limitations of each reactor configuration are discussed based on experimental and simulated data.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%