On quantifying sources of uncertainty in the carbon footprint of biofuels: crop/feedstock, LCA modelling approach, land-use change, and GHG metrics
Biofuel systems may represent a promising strategy to combat climate change by replacing fossil fuels in electricity generation and transportation. First-generation biofuels from sugar and starch crops for ethanol (a gasoline substitute) and from oilseed crops for biodiesel (a petroleum diesel subst...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Alpha Creation Enterprise
2022-06-01
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| Series: | Biofuel Research Journal |
| Subjects: | |
| Online Access: | https://www.biofueljournal.com/article_148830_cfd95668b16943c4b53ed4b7e16977ce.pdf |
| _version_ | 1797243597708328960 |
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| author | Miguel Brandao Reinout Heijungs Annette Cowie |
| author_facet | Miguel Brandao Reinout Heijungs Annette Cowie |
| author_sort | Miguel Brandao |
| collection | DOAJ |
| description | Biofuel systems may represent a promising strategy to combat climate change by replacing fossil fuels in electricity generation and transportation. First-generation biofuels from sugar and starch crops for ethanol (a gasoline substitute) and from oilseed crops for biodiesel (a petroleum diesel substitute) have come under increasing levels of scrutiny due to the uncertainty associated with the estimation of climate change impacts of biofuels, such as due to indirect effects on land use. This analysis estimates the magnitude of some uncertainty sources: i) crop/feedstock, ii) life cycle assessment (LCA) modelling approach, iii) land-use change (LUC), and iv) greenhouse gas (GHG) metrics. The metrics used for characterising the different GHGs (global warming potential-GWP and global temperature change potential-GTP at different time horizons) appeared not to play a significant role in explaining the variance in the carbon footprint of biofuels, as opposed to the crop/feedstock used, the inclusion/exclusion of LUC considerations, and the LCA modelling approach (p<0.001). The estimated climate footprint of biofuels is dependent on the latter three parameters and, thus, is context-specific. It is recommended that these parameters be dealt with in a manner consistent with the goal and scope of the study. In particular, it is essential to interpret the results of the carbon footprint of biofuel systems in light of the choices made in each of these sources of uncertainty, and sensitivity analysis is recommended to overcome their influence on the result. |
| first_indexed | 2024-04-24T18:57:39Z |
| format | Article |
| id | doaj.art-ae41676243104ceda5aca4bf9860f2dc |
| institution | Directory Open Access Journal |
| issn | 2292-8782 |
| language | English |
| last_indexed | 2024-04-24T18:57:39Z |
| publishDate | 2022-06-01 |
| publisher | Alpha Creation Enterprise |
| record_format | Article |
| series | Biofuel Research Journal |
| spelling | doaj.art-ae41676243104ceda5aca4bf9860f2dc2024-03-26T15:13:22ZengAlpha Creation EnterpriseBiofuel Research Journal2292-87822022-06-01921608161610.18331/BRJ2022.9.2.2148830On quantifying sources of uncertainty in the carbon footprint of biofuels: crop/feedstock, LCA modelling approach, land-use change, and GHG metricsMiguel Brandao0Reinout Heijungs1Annette Cowie2Department of Sustainable Development, Environmental Science and Engineering (SEED), School of Architecture and the Built Environment (ABE), KTH - Royal Institute of Technology, Sweden.Department of Operations Analytics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.NSW Department of Primary Industries, University of New England, Armidale, Australia.Biofuel systems may represent a promising strategy to combat climate change by replacing fossil fuels in electricity generation and transportation. First-generation biofuels from sugar and starch crops for ethanol (a gasoline substitute) and from oilseed crops for biodiesel (a petroleum diesel substitute) have come under increasing levels of scrutiny due to the uncertainty associated with the estimation of climate change impacts of biofuels, such as due to indirect effects on land use. This analysis estimates the magnitude of some uncertainty sources: i) crop/feedstock, ii) life cycle assessment (LCA) modelling approach, iii) land-use change (LUC), and iv) greenhouse gas (GHG) metrics. The metrics used for characterising the different GHGs (global warming potential-GWP and global temperature change potential-GTP at different time horizons) appeared not to play a significant role in explaining the variance in the carbon footprint of biofuels, as opposed to the crop/feedstock used, the inclusion/exclusion of LUC considerations, and the LCA modelling approach (p<0.001). The estimated climate footprint of biofuels is dependent on the latter three parameters and, thus, is context-specific. It is recommended that these parameters be dealt with in a manner consistent with the goal and scope of the study. In particular, it is essential to interpret the results of the carbon footprint of biofuel systems in light of the choices made in each of these sources of uncertainty, and sensitivity analysis is recommended to overcome their influence on the result.https://www.biofueljournal.com/article_148830_cfd95668b16943c4b53ed4b7e16977ce.pdfindirect land-use change (iluc)climate change mitigationlife cycle assessmentcarbon footprintbiofuelsuncertainty |
| spellingShingle | Miguel Brandao Reinout Heijungs Annette Cowie On quantifying sources of uncertainty in the carbon footprint of biofuels: crop/feedstock, LCA modelling approach, land-use change, and GHG metrics Biofuel Research Journal indirect land-use change (iluc) climate change mitigation life cycle assessment carbon footprint biofuels uncertainty |
| title | On quantifying sources of uncertainty in the carbon footprint of biofuels: crop/feedstock, LCA modelling approach, land-use change, and GHG metrics |
| title_full | On quantifying sources of uncertainty in the carbon footprint of biofuels: crop/feedstock, LCA modelling approach, land-use change, and GHG metrics |
| title_fullStr | On quantifying sources of uncertainty in the carbon footprint of biofuels: crop/feedstock, LCA modelling approach, land-use change, and GHG metrics |
| title_full_unstemmed | On quantifying sources of uncertainty in the carbon footprint of biofuels: crop/feedstock, LCA modelling approach, land-use change, and GHG metrics |
| title_short | On quantifying sources of uncertainty in the carbon footprint of biofuels: crop/feedstock, LCA modelling approach, land-use change, and GHG metrics |
| title_sort | on quantifying sources of uncertainty in the carbon footprint of biofuels crop feedstock lca modelling approach land use change and ghg metrics |
| topic | indirect land-use change (iluc) climate change mitigation life cycle assessment carbon footprint biofuels uncertainty |
| url | https://www.biofueljournal.com/article_148830_cfd95668b16943c4b53ed4b7e16977ce.pdf |
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