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Computers & Chemical Engineering
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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An outlook towards 2030: Optimization and design of a CCUS supply chain in Germany

Authors: Leonzio G.; Foscolo P. U.; Zondervan E.;

An outlook towards 2030: Optimization and design of a CCUS supply chain in Germany

Abstract

Abstract A mathematical model for the optimal design of a supply chain for carbon capture, utilization and storage is developed. Carbon dioxide may be stored and/or utilized to produce methanol via methane dry reforming. The Mixed Integer Linear Program model is developed for ten major carbon dioxide emission sources in Germany. Three different cases are considered, according to hydrogen production route required to correct the syngas composition: hydrogen by external reforming, hydrogen by external water electrolysis, hydrogen by internal steam reforming. Results show that absorption is the preferred capture solutions at high flue gas flow rate. Results also show that the best option is providing hydrogen by water electrolysis, because a higher amount of carbon dioxide is used to produce the same amount of methanol with lower environmental impact. The proposed network produces 203 Mton/year of methanol, then Germany would be able to satisfy the world methanol demand in the next years. Carbon tax and economic incentives are required to reduce the methanol production cost to 340 €/ton: only in this case the process is economically feasible.

Country
Italy
Keywords

Optimization, CCUS supply chain network; CO; 2; reduction; Mathematical model; Methane dry reforming; Methanol; Optimization, Methanol, Mathematical model, Methane dry reforming

  • 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).
    43
    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!
43
Top 10%
Top 10%
Top 10%