Cambioscop RO1: Dataset on characterization, quantity and current use of French residual biomasses.

Published: 17 November 2023| Version 3 | DOI: 10.17632/b9sx3h3584.3
, Shivesh Karan,


The dataset provides comprehensive information on various aspects of biomass residues, including physical, biochemical, and chemical composition, current usage, and annual generation. It covers crop residues, primary forestry residues, pruning residues, manure, green/garden waste, sewage sludge, household biowaste, and agroindustrial residues. Each document in the dataset offers detailed insights into specific aspects of the residues. This is the third version of the data (Version 3). Here is an overview of the contents: 1) SI.1.Characterization: Description of the composition of the different residual streams. 2) SI.2.Current_uses: Information on the current usage of residual biomasses in France. 3) SI.3.Spatial_quantification: Generated amount and spatial quantification of the selected residual streams for France (include background data for Figure 3 of the main manuscript). a. The document is accompanied by background data and calculation for each stream: b. SI.3.Crop_residues c. SI.3.Green_residues d. SI.3.Household_biowaste e. SI.3.Manure_generation f. SI.3.Pruning_residues g. SI.3.Sludge h. SI.3.Potential_tot (background data for Table 1 of the main manuscript). 4) SI.4.LCI: Details the life cycle inventories (LCI) of current residual biomass management pathways (including process flows diagrams, technological parameters, background processes selected, etc.) as well as the modeling of marginal suppliers of electricity, heat and fertilizing services for the French context. a. The document is accompanied by the parametric LCI models (excel spreadsheets) for each pathway (gathered under umbrella categories). b. SI.4.AD_module (anaerobic digestion LCI) c. SI.4.Combust_module (open-air burning, incineration and domestic furnace LCIs) d. SI.4.Compost module (industrial and open-air composting LCIs) e. SI.4.Land_module (decay, spreading, aerobic treatment LCIs) f. SI.4.Context_modeling (electricity, heat, fertilizing services marginal suppliers LCAs) 5) SI.5.Unitary_LCA_results: Individual Monte Carlo simulations performed for each reported (pathway; feedstock) combination. Includes statistical analysis and background data for Table 2 and 3 of the main manuscript. 6) SI.6.Scaled_LCA_model: Consolidated model to estimate the residual biomass baseline performance as well as its variance (use precalculated LCA results from previous sheets). Includes background data for the Figure 2 of the main manuscript. 7) SI.6.Scaled_LCA_results: Monte Carlo simulations performed on the “Scaled_LCA_model”: background data for Figure 1 of the main manuscript The link to the main manuscript will be added once it is published.



Norsk Institutt for Biookonomi, INSA Toulouse


Biomass, Agricultural Residues


Région Occitanie Pyrénées-Méditerranée


Agence Nationale de la Recherche