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Energy Strategy Reviews
Article . 2024 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Energy Strategy Reviews
Article . 2024
Data sources: DOAJ
https://doi.org/10.2139/ssrn.4...
Article . 2023 . Peer-reviewed
Data sources: Crossref
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Scenarios for Deep Decarbonisation of Industry in Lithuania

Authors: Egidijus Norvaiša; Arvydas Galinis; Eimantas Neniškis;

Scenarios for Deep Decarbonisation of Industry in Lithuania

Abstract

Achieving an ambitious EU long-term vision of climate neutrality requires efforts across all Member States and economic sectors. Lithuania's industrial carbon dioxide (CO2) emissions are expected to maintain current trends under a business-as-usual case. We applied a bottom-up modelling approach to analyse deep decarbonisation scenarios for the Lithuanian industry up to 2050 to advance the wider debate and provide insights into the measures needed to make a difference. The results show that the deep decarbonisation of the Lithuanian industry by 2050 is feasible. However, to avoid large-scale emissions from industrial processes, it is requisite to utilise green hydrogen (H2) as a feedstock for ammonia production and carbon capture and storage (CCS) for clinker production. It requires significant investments and increases operating costs. Without CCS and H2, only up to 17 % of industrial emissions could be avoided by 2050.

Related Organizations
Keywords

Industry, HD9502-9502.5, Decarbonisation, Carbon dioxide emissions, Energy industries. Energy policy. Fuel trade, Scenario analysis, Bottom-up approach

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    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).
    3
    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.
    Average
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selected citations
These citations are derived from selected sources.
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!
3
Top 10%
Average
Average
gold