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Article . 2020 . Peer-reviewed
License: Elsevier TDM
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Techno-economic assessment of process integration models for boosting hydrogen production potential from coal and natural gas feedstocks

Authors: Usama Ahmed; Nabeel Ahmad; Ali Rauf; Md. Selim Arif Sher Shah; Usman Hamid; Usman Hamid;

Techno-economic assessment of process integration models for boosting hydrogen production potential from coal and natural gas feedstocks

Abstract

Abstract The elevated energy demands from past decades has created the energy gaps which can mainly be fulfilled through the consumption of natural fossil fuels but at the expense of increased greenhouse gas emissions. Therefore, the need of clean and sustainable options to meet energy gaps have increased significantly. Gasification and steam methane reforming are the efficient technologies which resourcefully produce the syngas and hydrogen from coal and natural gas, respectively. The syngas and hydrogen can be further utilized to generate power or other Fischer Tropsch chemicals. In this study, two process models are developed and technically compared to analyze the production capacity of syngas and hydrogen. First model is developed based on conventional entrained flow gasification process which is validated with data provided by DOE followed by its integration with the reforming process that leads to the second model. The integrated gasification and reforming process model is developed to maximize the hydrogen production while reducing the overall carbon dioxide emissions. Furthermore, the integrated model eradicates the possibility of reformer’s catalyst deactivation due to significant amount of H2S present in the coal derived syngas. It has been seen from results that updated model offers 37% increase in H2/CO ratio, 10% increase in cold gas efficiency (CGE), 25% increase in overall H2 production, and 13% reduction in CO2 emission per unit amount of hydrogen production compared to base case model. Furthermore, economic analysis indicated 8% reduction in cost for case 2 while presenting 7% enhanced hydrogen contents.

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    41
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
41
Top 10%
Top 10%
Top 10%