Vis enkel innførsel

dc.contributor.authorCherubini, Francesco
dc.contributor.authorHuijbregts, Mark
dc.contributor.authorKindermann, Georg
dc.contributor.authorVan Zelm, Rosalie
dc.contributor.authorVan Der Velde, Marijn
dc.contributor.authorStadler, Konstantin
dc.contributor.authorStrømman, Anders Hammer
dc.date.accessioned2020-03-04T12:12:35Z
dc.date.available2020-03-04T12:12:35Z
dc.date.created2016-03-30T12:33:00Z
dc.date.issued2016
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/11250/2645222
dc.description.abstractEmission metrics aggregate climate impacts of greenhouse gases to common units such as CO2-equivalents (CO2-eq.). Examples include the global warming potential (GWP), the global temperature change potential (GTP) and the absolute sustained emission temperature (aSET). Despite the importance of biomass as a primary energy supplier in existing and future scenarios, emission metrics for CO2 from forest bioenergy are only available on a case-specific basis. Here, we produce global spatially explicit emission metrics for CO2 emissions from forest bioenergy and illustrate their applications to global emissions in 2015 and until 2100 under the RCP8.5 scenario. We obtain global average values of 0.49 ± 0.03 kgCO2-eq. kgCO2−1 (mean ± standard deviation) for GWP, 0.05 ± 0.05 kgCO2-eq. kgCO2−1 for GTP and 2.14·10−14 ± 0.11·10−14 °C (kg yr−1)−1 for aSET. We explore metric dependencies on temperature, precipitation, biomass turnover times and extraction rates of forest residues. We find relatively high emission metrics with low precipitation, long rotation times and low residue extraction rates. Our results provide a basis for assessing CO2 emissions from forest bioenergy under different indicators and across various spatial and temporal scales.nb_NO
dc.language.isoengnb_NO
dc.publisherNature Researchnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleGlobal spatially explicit CO2 emission metrics for forest bioenergynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.volume6:20186nb_NO
dc.source.journalScientific Reportsnb_NO
dc.identifier.doi10.1038/srep20186
dc.identifier.cristin1347590
dc.description.localcodeThis work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/nb_NO
cristin.unitcode194,64,25,0
cristin.unitnameInstitutt for energi- og prosessteknikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Navngivelse 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Navngivelse 4.0 Internasjonal