Methodological long-term analysis of global bioenergy potential

Seungwoo Kang (1) , Sandrine Selosse (1) , Nadia Maïzi (1)

1 CMA - Centre de Mathématiques Appliquées

This report presents the methodology investigated in order to make more suitable and relevant the representation of bioenergy resources in the long term bottom up optimization model, TIAM-FR. Indeed, the current simplified representation is not suitable for distinguish different use for each proper bioenergy source. Furthermore, considering the important role of global bioenergy trade in energy system particularly for projecting future energy system, disaggregation of these resources appears as an essential requirement. In this study, based on the complementary purpose of improving the description of the bioenergy chain as well as the necessity of re-estimation of potentials, we focused on development of energy crops and woody biomass chains rather than Industrial wastes, municipal wastes, and landfill gas, which are not currently being traded intra regions for energy uses. In the case of energy crops, otherwise, the higher disaggregation will allow apply crop-specific biofuel policies as limiting the use of edible sources for energy purpose to avoid eventual conflicts with food security issues.

Mots clés: bioenergy resource; long-term

Seungwoo Kang, Sandrine Selosse, Nadia Maïzi. Methodological long-term analysis of global bioenergy potential. [Research Report] Working Paper 2016-01-21, Chaire Modélisation prospective au service du développement durable. 2016, pp.36 - Les Cahiers de la Chaire. ⟨hal-01304692⟩