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Global and regional potential for bioelectricity with carbon capture and storage

Abstract : Among technological options to mitigate greenhouse gas (GHG) emissions, Biomass Energy with Carbon Capture and Storage technology (BECCS) is gaining increasing attention. This option offers a unique opportunity for a net removal of atmospheric CO2 while it fulfills energy needs. This results analysis appears in line with the growing body of literature using bottom-up energy models and shows that BECCS has an important role to play in the future energy mix. Most of those studies focus on BECCS global potential whereas it is of interest to understand where this mitigation will be deployed. This key issue will strongly depends on regions' biomass resources and storage sites endowment. The aim of this study is to assess the global and regional potential of BECCS up to 2050 and to compare it to the deployment of CCS in the power generation. This analysis is conducted with the global multiregional TIAM-FR optimization model. Investigated climate policy scenarios led to a considerable expansion of renewable energy and CCS and BECCS technologies in the power sector. CCS from fossil fuel is mainly deployed in fast developing countries, well endowed with coal and, BECCS is highly distributed in developing countries even if biomass resources are widely available in all regions. This response to carbon constraint is however dependent of the consideration of CO2 negative emissions and of the incentives and appropriate policies created by States. In addition, it required the development of a regulatory framework, sustained R,D&D and infrastructures investments.
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Soumis le : jeudi 19 janvier 2012 - 16:30:01
Dernière modification le : vendredi 23 octobre 2020 - 16:59:27
Archivage à long terme le : : lundi 19 novembre 2012 - 14:05:15


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  • HAL Id : hal-00661474, version 1


Olivia Ricci, Sandrine Selosse. Global and regional potential for bioelectricity with carbon capture and storage. [Research Report] Working Paper 2011-03, Les Cahiers de la Chaire Modélisation Prospective au service du Développement Durable. 2011. ⟨hal-00661474⟩



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