Singh, A and Shivapuji, AM and Dasappa, S (2023) VPSA process characterization for ISO quality green hydrogen generation using two practical multi-component biomass gasification feeds. In: Separation and Purification Technology, 315 .
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Abstract
The current work reports on the performance characterization of a VPSA system developed in-house for ISO-quality green hydrogen generation using commercially available zeolite 13X from two practical multi-specie feed streams generated from near-ambient oxy-steam and air gasification of casuarina wood chips. The breakthrough dynamics in a packed column, and the effect of extrinsic and intrinsic decision variables on the separation performance under a cyclic steady state are analyzed. Adsorption pressure and feed flow rate are noted as the most significant influencing factors. The assessment indicates the prevalence of bed thermal gradients and establishes N2 as a limiting gas impurity and CO2 desorption as a rate-determining step. Additionally, Pareto curves signifying the process capability to produce hydrogen of different grades are generated. The average recovery range achieved using syngas feed for obtaining purity >98 mol% (ISO grade A and above) at the lab-scale is noted to be 40.7–74.4%, which is analogous to published literature for fossil streams. Adopting the optimal parameters from the prototype studies and a precise gas contaminant analysis, the technology is practically demonstrated at the pilot scale (feed: 100 Nm3/h) for the continuous generation of fuel cell compliant hydrogen (fuel index ≥ 99.97) and a successful operation at an average recovery of 68.4 ± 3.5% is realized.
Item Type: | Journal Article |
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Publication: | Separation and Purification Technology |
Publisher: | Elsevier B.V. |
Additional Information: | The copyright for this article belongs to Elsevier B.V. |
Keywords: | Fuel cell; Green hydrogen; Multi-component separation; Pareto curve; Zeolite 13X |
Department/Centre: | Division of Mechanical Sciences > Centre for Sustainable Technologies (formerly ASTRA) |
Date Deposited: | 21 Apr 2023 06:18 |
Last Modified: | 21 Apr 2023 06:18 |
URI: | https://eprints.iisc.ac.in/id/eprint/81313 |
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