Modelling and sequential simulation of multi-tubular metallic membrane and techno-economics of a hydrogen production process employing thin-layer membrane reactor
KAUST DepartmentAdvanced Membranes and Porous Materials Research Center
Chemical Engineering Program
Physical Science and Engineering (PSE) Division
KAUST Grant NumberURF/1/1723
Online Publication Date2016-09-24
Print Publication Date2016-11
Permanent link to this recordhttp://hdl.handle.net/10754/622312
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AbstractA theoretical model for multi-tubular palladium-based membrane is proposed in this paper and validated against experimental data for two different sized membrane modules that operate at high temperatures. The model is used in a sequential simulation format to describe and analyse pure hydrogen and hydrogen binary mixture separations, and then extended to simulate an industrial scale membrane unit. This model is used as a sub-routine within an ASPEN Plus model to simulate a membrane reactor in a steam reforming hydrogen production plant. A techno-economic analysis is then conducted using the validated model for a plant producing 300 TPD of hydrogen. The plant utilises a thin (2.5 Î¼m) defect-free and selective layer (Pd75Ag25 alloy) membrane reactor. The economic sensitivity analysis results show usefulness in finding the optimum operating condition that achieves minimum hydrogen production cost at break-even point. A hydrogen production cost of 1.98 $\$$/kg is estimated while the cost of the thin-layer selective membrane is found to constitute 29% of total process capital cost. These results indicate the competiveness of this thin-layer membrane process against conventional methods of hydrogen production. © 2016 Hydrogen Energy Publications LLC
CitationShafiee A, Arab M, Lai Z, Liu Z, Abbas A (2016) Modelling and sequential simulation of multi-tubular metallic membrane and techno-economics of a hydrogen production process employing thin-layer membrane reactor. International Journal of Hydrogen Energy 41: 19081–19097. Available: http://dx.doi.org/10.1016/j.ijhydene.2016.08.172.
SponsorsThis work is supported in part by a King Abdullah University of Science and Technology (KAUST),URF/1/1723 CRG Award.