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dc.contributor.author
Reinert, Christiane
dc.contributor.author
Deutz, Sarah
dc.contributor.author
Minten, Hannah
dc.contributor.author
Dörpinghaus, Lukas
dc.contributor.author
von Pfingsten, Sarah
dc.contributor.author
Baumgärtner, Nils
dc.contributor.author
Bardow, André
dc.date.accessioned
2021-07-06T06:35:03Z
dc.date.available
2021-07-03T00:57:57Z
dc.date.available
2021-07-06T06:35:03Z
dc.date.issued
2021-10
dc.identifier.issn
0098-1354
dc.identifier.issn
1873-4375
dc.identifier.other
10.1016/j.compchemeng.2021.107406
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/492868
dc.identifier.doi
10.3929/ethz-b-000492868
dc.description.abstract
Mitigating climate change requires a fundamental transformation of our energy systems. This transformation should not shift burdens to other environmental impacts. Current energy models account for environmental impacts using Life Cycle Inventories (LCIs) that typically rely on historic processes. Thus, the LCIs are static and do not reflect improvements in underlying background processes, e.g., in the energy supply. Dynamic Life Cycle Assessment (LCA) incorporates changes in the LCI and allows for a consistent assessment of future energy systems. We integrate dynamic LCA in a national energy system optimization and discuss the differences between employing static and dynamic LCA in energy system optimization and assessment. Dynamic LCA leads to lower environmental impacts in most categories (e.g., climate change: -18%) and is required for a quantitative environmental assessment. However, our analysis shows that static LCA is sufficient to identify general trends in energy system optimization and assessment for Germany till 2050.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
Dynamic LCA
en_US
dc.subject
LP optimization
en_US
dc.subject
Energy transition
en_US
dc.subject
Scenario-based assessment
en_US
dc.subject
Burden-shifting
en_US
dc.subject
Environmental co-benefits
en_US
dc.title
Environmental impacts of the future German energy system from integrated energy systems optimization and dynamic life cycle assessment
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
dc.date.published
2021-06-11
ethz.journal.title
Computers & Chemical Engineering
ethz.journal.volume
153
en_US
ethz.journal.abbreviated
Comput. Chem. Eng.
ethz.pages.start
107406
en_US
ethz.size
8 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02668 - Inst. f. Energie- und Verfahrenstechnik / Inst. Energy and Process Engineering::09696 - Bardow, André / Bardow, André
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02668 - Inst. f. Energie- und Verfahrenstechnik / Inst. Energy and Process Engineering::09696 - Bardow, André / Bardow, André
en_US
ethz.relation.hasPart
20.500.11850/464183
ethz.date.deposited
2021-07-03T00:58:01Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-07-06T06:35:33Z
ethz.rosetta.lastUpdated
2021-07-06T06:35:33Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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