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Article Dans Une Revue Environmental Modelling and Software Année : 2016

Agro-ecosystem modeling can aid in the optimization of biomass feedstock supply

Résumé

Abstract Recent European Directives promoted the development of biofuels, requesting mandatory limits to their emissions ot greenhouse gases (GHG). Second-generation biofuels based on lignocellulosic biomass are prime candidates but their GHG emissions are variable and uncertain. Agro-ecosystem modeling can capture them and the performance of biofuel feedstocks. This study aimed at optimizing feedstock supply for a bioethanol unit in France, from agricultural residues, annual and perennial crops. Their productivity and environmental impacts were modelled on a regional scale using geo-referenced data on soil properties, crop management, land-use and future weather data. Several supply scenarios were tested. Cereal straw was the most efficient feedstock but had a low availability, and only miscanthus could meet the bioethanol plant's demand. Sorghum combined poor yields and high GHG emissions compared by miscanthus and triticale. A mix of three biomass sources used less than 3% of the regional agricultural land while abating GHG emissions by 60%.
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Dates et versions

hal-01370076 , version 1 (21-09-2016)

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Karine Dufosse, Jean-Louis Drouet, Benoit Gabrielle. Agro-ecosystem modeling can aid in the optimization of biomass feedstock supply. Environmental Modelling and Software, 2016, 85, pp.139-155. ⟨10.1016/j.envsoft.2016.07.014⟩. ⟨hal-01370076⟩
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