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Dataset associated with "Modelling of H2 production via sorption enhanced steam methane reforming at reduced pressures for small scale applications".

Abbas, Syed Zaheer and Dupont, Valerie and Mahmud, Tariq (2018) Dataset associated with "Modelling of H2 production via sorption enhanced steam methane reforming at reduced pressures for small scale applications". University of Leeds. [Dataset] https://doi.org/10.5518/485

Dataset description

The production of H2 via sorption enhanced steam reforming (SE-SMR) of CH4 using 18 wt. % Ni/ Al2O3 catalyst and CaO as a CO2-sorbent was simulated for an adiabatic packed bed reactor at the reduced pressures typical of small and medium scale gas producers and H2 end users. To investigate the behaviour of reactor model along the axial direction, the mass, energy and momentum balance equations were incorporated in the gPROMS modelbuilder®. The effect of operating conditions such as temperature, pressure, steam to carbon ration (S/C) and gas mass flow velocity (Gs) was studied under the low-pressure conditions (2 – 7 bar). Independent equilibrium based software, chemical equilibrium with application (CEA), was used to compare the simulation results with the equilibrium data. A good agreement was obtained in terms of CH4 conversion, H2 yield (wt. % of CH4 feed), purity of H2 and CO2 capture for the lowest (Gs) representing conditions close to equilibrium under a range of operating temperatures pressures, feed steam to carbon ratio. At Gs of 3.5 kg m-2s-1, 3 bar, 923 K and S/C of 3, CH4 conversion and H2 purity were up to 89% and 86% respectively compared to 44% and 63% in the conventional reforming process.

Keywords: hydrogen production, sorption enhance, steam reforming, methane, calcium, CO2 sorbent, modelling, packed bed
Subjects: H000 - Engineering > H800 - Chemical, process & energy engineering
Divisions: Faculty of Engineering > School of Chemical and Process Engineering
Related resources:
LocationType
https://doi.org/10.1016/j.ijhydene.2018.11.169Publication
http://eprints.whiterose.ac.uk/139806/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 21 Dec 2018 11:41
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/475

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