Assessing carbon dioxide emission reduction potentials of improved manufacturing processes using multiregional input output frameworks

dc.contributor.authorWard, Hauke
dc.contributor.authorBurger, Mia
dc.contributor.authorChang, Ya-Ju
dc.contributor.authorFürstmann, Paul
dc.contributor.authorNeugebauer, Sabrina
dc.contributor.authorRadebach, Alexander
dc.contributor.authorSproesser, Gunther
dc.contributor.authorPittner, Andreas
dc.contributor.authorRethmeier, Michael
dc.contributor.authorUhlmann, Eckart
dc.contributor.authorSteckel, Jan Christoph
dc.date.accessioned2019-02-11T10:34:37Z
dc.date.available2019-02-11T10:34:37Z
dc.date.issued2016
dc.description.abstractEvaluating innovative process technologies has become highly important within the last decades. As standard tools different Life Cycle Assessment methods have been established, which are continuously improved. While those are designed for evaluating single processes they run into difficulties when it comes to assessing environmental impacts of process innovations at macroeconomic level. In this paper we develop a multi-step evaluation framework building on multi regional input–output data that allows estimating macroeconomic impacts of new process technologies, considering the network characteristics of the global economy. Our procedure is as follows: i) we measure differences in material usage of process alternatives, ii) we identify where the standard processes are located within economic networks and virtually replace those by innovative process technologies, iii) we account for changes within economic systems and evaluate impacts on emissions. Within this paper we exemplarily apply the methodology to two recently developed innovative technologies: longitudinal large diameter steel pipe welding and turning of high-temperature resistant materials. While we find the macroeconomic impacts of very specific process innovations to be small, its conclusions can significantly differ from traditional process based approaches. Furthermore, information gained from the methodology provides relevant additional insights for decision makers extending the picture gained from traditional process life cycle assessment.en
dc.description.sponsorshipDFG, SFB 1026, Sustainable Manufacturing - Globale Wertschöpfung nachhaltig gestaltenen
dc.identifier.issn0959-6526
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/9079
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-8180
dc.language.isoenen
dc.relation.ispartof10.14279/depositonce-6871
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subject.ddc330 Wirtschaftde
dc.subject.othersustainability assessmenten
dc.subject.othermulti-regional input–output dataen
dc.subject.otherlife-cycle assessmenten
dc.subject.othergreenhouse gas mitigationen
dc.subject.otherprocess innovationsen
dc.subject.othereconomic wide technology replacementen
dc.titleAssessing carbon dioxide emission reduction potentials of improved manufacturing processes using multiregional input output frameworksen
dc.typeArticleen
dc.type.versionacceptedVersionen
dcterms.bibliographicCitation.doi10.1016/j.jclepro.2016.02.062en
dcterms.bibliographicCitation.journaltitleJournal of cleaner productionen
dcterms.bibliographicCitation.originalpublishernameElsevier Scienceen
dcterms.bibliographicCitation.originalpublisherplaceAmsterdam [u.a.]en
dcterms.bibliographicCitation.pageend165en
dcterms.bibliographicCitation.pagestart154en
dcterms.bibliographicCitation.volume163en
tub.accessrights.dnbdomainen
tub.affiliationVerbundforschung::Sonderforschungsbereiche (SFB)::SFB 1026 - Sustainable Manufacturingde
tub.affiliationFak. 6 Planen Bauen Umwelt::Inst. Landschaftsarchitektur und Umweltplanung::FG Ökonomie des Klimawandelsde
tub.affiliation.facultyVerbundforschungde
tub.affiliation.facultyFak. 6 Planen Bauen Umweltde
tub.affiliation.groupSFB 1026 - Sustainable Manufacturingde
tub.affiliation.groupFG Ökonomie des Klimawandelsde
tub.affiliation.instituteSonderforschungsbereiche (SFB)de
tub.affiliation.instituteInst. Landschaftsarchitektur und Umweltplanungde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

Files

Original bundle
Now showing 1 - 1 of 1
Loading…
Thumbnail Image
Name:
Ward_etal_2016.pdf
Size:
1.58 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.9 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections