TY - JOUR
T1 - Quantifying uncertainties in absolute environmental sustainability assessment
T2 - A general framework applied to French electricity production
AU - Puig-Samper, Gonzalo
AU - Owsianiak, Mikołaj
AU - Clavreul, Julie
AU - Jeandaux, Camille
AU - Prieur-Vernat, Anne
AU - Gondran, Natacha
PY - 2025
Y1 - 2025
N2 - Assessing the environmental performance of products and systems from an absolute perspective, in relation to the Earth's carrying capacities, is highly uncertain. This is mainly due to value-based choices that must be made to downscale carrying capacities to the assessed activity, often making assessment results highly dependent on one's interpretation of distributive justice. We present a framework for evaluating uncertainties in the downscaling of carrying capacities in absolute environmental sustainability assessment (AESA) of products and systems. The framework considers 19 possible approaches to share carrying capacities, grounded in four theories of distributive justice (like egalitarianism and utilitarianism) and seven enacting metrics, such as final consumption expenditure or prior emissions. Application to French power using the PB-LCIA impact assessment method showed that impact scores were statistically significantly higher than the downscaled carrying capacity (i.e., frequency of no-transgression ≤0.95) in seven out of ten planetary boundaries. For example, the median biosphere integrity impact score with a 90 % uncertainty interval was 0.0081 (0.0047–0.012) % of biodiversity intactness index (BII) loss, as opposed to the median downscaled planetary boundary equal to 0.0032 (0.00032–0.017) % BII loss, corresponding to a frequency of no-transgression equal to 0.21. This highlights the need to consider uncertainty in AESA of products and systems for more robust quantification of their performance, and setting better-grounded reduction targets.
AB - Assessing the environmental performance of products and systems from an absolute perspective, in relation to the Earth's carrying capacities, is highly uncertain. This is mainly due to value-based choices that must be made to downscale carrying capacities to the assessed activity, often making assessment results highly dependent on one's interpretation of distributive justice. We present a framework for evaluating uncertainties in the downscaling of carrying capacities in absolute environmental sustainability assessment (AESA) of products and systems. The framework considers 19 possible approaches to share carrying capacities, grounded in four theories of distributive justice (like egalitarianism and utilitarianism) and seven enacting metrics, such as final consumption expenditure or prior emissions. Application to French power using the PB-LCIA impact assessment method showed that impact scores were statistically significantly higher than the downscaled carrying capacity (i.e., frequency of no-transgression ≤0.95) in seven out of ten planetary boundaries. For example, the median biosphere integrity impact score with a 90 % uncertainty interval was 0.0081 (0.0047–0.012) % of biodiversity intactness index (BII) loss, as opposed to the median downscaled planetary boundary equal to 0.0032 (0.00032–0.017) % BII loss, corresponding to a frequency of no-transgression equal to 0.21. This highlights the need to consider uncertainty in AESA of products and systems for more robust quantification of their performance, and setting better-grounded reduction targets.
KW - AESA
KW - Planetary boundaries
KW - Uncertainty
KW - Life-cycle assessment
KW - Electricity
KW - Energy systems
U2 - 10.1016/j.spc.2024.12.013
DO - 10.1016/j.spc.2024.12.013
M3 - Journal article
SN - 2352-5509
VL - 54
SP - 12
EP - 24
JO - Sustainable Production and Consumption
JF - Sustainable Production and Consumption
ER -