Matamala et al. (2023): Probabilistic feasibility assessment of sequestration reliance for climate targets
Yolanda Matamala, Francisco Flores, Andrea Arriet, Zarrar Khan, Felipe Feijoo IN: Energy, https://doi.org/10.1016/j.energy.2023.127160
This study emphasizes the relevance of variability in carbon sequestration for achieving climate targets by 2050. This paper proposes a probabilistic approach that integrates the Global Change Analysis Model for Latin America (GCAM-LA) with a chance constraint approach. GCAM-LA is used to assess the impact on the energy sector of different limits of sustainable biomass and carbon budget scenarios. The risk associated with exceeding the sequestration capacity of a given region is modeled via Chance Constraint.