Strategy for the analysis of lignocellulosic biomass to select a viable transformation route in the Colombian context
2024
Piedrahita-Rodríguez, Sara | Alzate-Ramírez, Andrés-Felipe | Baumberger, Stéphanie | Cézard, Laurent | Ortiz-Sánchez, Mariana | Escobar García, Diego, Alexander | Zetty Arenas, Ana, María | Moustakas, Konstantinos | Cardona Alzate, Carlos, Ariel | Universidad Nacional de Colombia [Bogotà] (UNAL) | Institut Jean-Pierre Bourgin - Sciences du végétal (IJPB) ; AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | National Technical University of Athens [Athens] (NTUA)
International audience
显示更多 [+] 显示较少 [-]英语. Lignocellulosic biomass is widely available in the world. However, a consensus has yet to be established to evaluate the biomass valorization alternatives. The chemical composition is the primary technical limitation in selecting a transformation route to obtain value-added products. In this paper, the bagasse from non-centrifuged sugar (NCS) production and Pinus patula (PP) wood chips were analyzed in terms of complete chemical composition to establish their potential for selecting the transformation routes. A strategy to select the best route based on the chemical composition was applied and a feedstock criteria model was proposed. Schemes were obtained and compared using a bioprocess selection strategy proposed in previous works. As a result, the preliminary biorefinery schemes were finally defined. The assessment of schemes derived from the outlined strategy included technical, economic, environmental, and social analyses. The environmental evaluation was complemented with a geolocation assessment, revealing a 0.75-ton CO 2 -eq/yr contribution to the carbon footprint for local distribution. The sustainability index for the PP biorefinery and the bagasse from NCS production was analyzed, resulting in indices of 44.8 and 60.9, respectively. These values were primarily derived from the economic and environmental analyses of both processes.
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