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Dynamic carbon accounting applied to energy policy scenarios: accounting for full lifetime carbon

Albers A.C., Collet P., Benoist A., Helias A.. 2018. In : Rattanawan Mungkung (ed.), Shabbir H. Gheewala (ed.). Book of abstracts of the 11th International Conference on Life Cycle Assessment of Food 2018 (LCA Food) "Global food challenges towards sustainable consumption and production". Bangkok : Life Cycle Assessment, p. 252-252. International Conference on Life Cycle Assessment of Food 2018 (LCA Food). 11, 2018-10-16/2018-10-20, Bangkok (Thaïlande).

Energy modelling is a central instrument for energy system planning. However, assessment of climate change impacts use static approaches and do not account biogenic carbon (Cbio) emissions. The present study addresses dynamic assessment shortcomings of bioenergy systems to assist energy policy-making. We propose a coupling strategy combining the TIMES-MIRET partial-equilibrium model with dynamic Cbio accounting models, towards dynamic LCA. TIMES-MIRET represents scenario-dependent outputs over long timeframe exploring optimisation options with detailed technology database. The Cbio models estimate the dynamic Cbio fixation and release flows of the biomass commodities. A full carbon sequestration cycle was modelled for both, before and after the final harvest. We compared both approaches. The model coupling showed the importance of introducing time in climate change impact assessment. The results with a complete carbon balance differed from fossil-based only, depending on the accounting approach used for Cbio modelling. The consideration of technological innovation and market dynamics in a transitioning energy system expands the assessment boundaries providing insights into optimisation and low carbon options driven by policy and decision-making.

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