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International Journal of Hydrogen Energy
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Effect of operating conditions and effectiveness factor on hydrogenation of CO2 to hydrocarbons

Authors: Gyula Gróf; Samrand Saeidi; Sara Najari; Fausto Gallucci;

Effect of operating conditions and effectiveness factor on hydrogenation of CO2 to hydrocarbons

Abstract

The development of an efficient reactor for hydrocarbons (C2–C4) production through hydrogenation of CO2, requires a deep understanding of the operating conditions effects. Subsequently, a model is proposed to analyze the reaction rates and investigate the sensitivity of hydrocarbons yield and products distribution to the variations of temperature, pressure and space velocity (SV). Besides, Thiele modulus and effectiveness factor are calculated for all of the reactions considered in the model. Results reveal that simultaneous occurrence of both endothermic reverse water gas shift (RWGS) and exothermic Fischer-Tropsch (FT) reactions, may be the main reason of temperature and rate fluctuations at the fixed-bed reactor inlet. In addition, increasing temperature and pressure, and decreasing SV can shift the process to produce more light olefins. Finally, sensitivity analysis demonstrates that reactor behavior is independent of the changes in pressure and SV at high temperature, which is an indication of high temperature dependency of this process. These findings can be effectively employed to achieve a better insight about appropriate operating conditions of hydrocarbons production via hydrogenation of CO2.

Country
Netherlands
Keywords

CO hydrogenation, Sustainability and the Environment, Temperature, Energy Engineering and Power Technology, Space velocity, Condensed Matter Physics, Fuel Technology, Effectiveness factor, Pressure, SDG 7 - Affordable and Clean Energy, Renewable Energy, Sensitivity analysis, SDG 7 – Betaalbare en schone energie

  • BIP!
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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).
    22
    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).
    Average
    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!
22
Top 10%
Average
Top 10%
hybrid