2022
DOI: 10.1007/s11367-022-02103-3
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Towards a non-ambiguous view of the amortization period for quantifying direct land-use change in LCA

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Cited by 9 publications
(3 citation statements)
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“…Additionally, given the current difficulty associated with LUC estimations, the use of LUC GHG emissions intensities to support sustainability certification schemes is under debate. This is particularly relevant when considering the inconsistencies associated with the arbitrary definition of amortisation factors (Maciel et al 2022).…”
Section: Discussionmentioning
confidence: 99%
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“…Additionally, given the current difficulty associated with LUC estimations, the use of LUC GHG emissions intensities to support sustainability certification schemes is under debate. This is particularly relevant when considering the inconsistencies associated with the arbitrary definition of amortisation factors (Maciel et al 2022).…”
Section: Discussionmentioning
confidence: 99%
“…The LUC GHG intensity is estimated based on the ratio of total cumulative GHG emissions from LUC the total cumulative bio-SAF demand (TBS) of each scenario, over the 25 year amortisation period, as adopted by ICAO CORSIA methodology to certify bio-SAFs (ICAO 2021, Zhao et al 2021) (equation ( 5)). As highlighted by Newell and Vos (2012), Nemecek et al (2019) and Maciel et al (2022), a dynamic time period to amortise LUC emissions should be applied to better reflect the complexity of carbon fluxes during land conversion processes. However, in order to compare our results with ICAO CORSIA guidelines we opted to consider a uniform amortisation period of 25 years.…”
Section: Induced Lucmentioning
confidence: 99%
“…Collecting accurate and representative data is a challenge in LCA in general, leading to uncertainties; in particular for bio-based energy and materials, the issue of including carbon storage and accounting for the time lag between carbon dioxide update and emissions must be addressed (Levasseur et al, 2010;Martin-Gamboa et al, 2020). Temporal representativeness and uncertainty can significantly affect the results, with the amortization period of LUC being a case in point (Maciel et al, 2022).…”
Section: Lca Of Biofuels and Bioproductsmentioning
confidence: 99%