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Article Dans Une Revue Climatic Change Année : 2018

Global energy sector emission reductions and bioenergy use: overview of the bioenergy demand phase of the EMF-33 model comparison

Nico Bauer
Steven K. Rose
  • Fonction : Auteur
Shinichiro Fujimori
Detlef P. van Vuuren
  • Fonction : Auteur
John Weyant
  • Fonction : Auteur
Marshall Wise
  • Fonction : Auteur
Yiyun Cui
  • Fonction : Auteur
Vassilis Daioglou
Matthew J. Gidden
  • Fonction : Auteur
Etsushi Kato
Alban Kitous
  • Fonction : Auteur
Florian Leblanc
Ronald D. Sands
  • Fonction : Auteur
Fuminori Sano
Jessica Strefler
  • Fonction : Auteur
Junichi Tsutsui
Ruben Bibas
  • Fonction : Auteur
  • PersonId : 937722
Oliver Fricko
  • Fonction : Auteur
Tomoko Hasegawa
  • Fonction : Auteur
Atsushi Kurosawa
  • Fonction : Auteur
Matteo Muratori

Résumé

We present an overview of results from 11 integrated assessment models (IAMs) that participated in the 33rd study of the Stanford Energy Modeling Forum (EMF-33) on the viability of large-scale deployment of bioenergy for achieving long-run climate goals. The study explores future bioenergy use across models under harmonized scenarios for future climate policies, availability of bioenergy technologies, and constraints on biomass supply. This paper provides a more transparent description of IAMs that span a broad range of assumptions regarding model structures, energy sectors, and bioenergy conversion chains. Without emission constraints, we find vastly different CO2 emission and bioenergy deployment patterns across models due to differences in competition with fossil fuels, the possibility to produce large-scale bio-liquids, and the flexibility of energy systems. Imposing increasingly stringent carbon budgets mostly increases bioenergy use. A diverse set of available bioenergy technology portfolios provides flexibility to allocate bioenergy to supply different final energy as well as remove carbon dioxide from the atmosphere by combining bioenergy with carbon capture and sequestration (BECCS). Sector and regional bioenergy allocation varies dramatically across models mainly due to bioenergy technology availability and costs, final energy patterns, and availability of alternative decarbonization options. Although much bioenergy is used in combination with CCS, BECCS is not necessarily the driver of bioenergy use. We find that the flexibility to use biomass feedstocks in different energy sub-sectors makes large-scale bioenergy deployment a robust strategy in mitigation scenarios that is surprisingly insensitive with respect to reduced technology availability. However, the achievability of stringent carbon budgets and associated carbon prices is sensitive. Constraints on biomass feedstock supply increase the carbon price less significantly than excluding BECCS because carbon removals are still realized and valued. Incremental sensitivity tests find that delayed readiness of bioenergy technologies until 2050 is more important than potentially higher investment costs.

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Nico Bauer, Steven K. Rose, Shinichiro Fujimori, Detlef P. van Vuuren, John Weyant, et al.. Global energy sector emission reductions and bioenergy use: overview of the bioenergy demand phase of the EMF-33 model comparison. Climatic Change, 2018, Online: 02 July 2018, pp.1-16. ⟨10.1007/s10584-018-2226-y⟩. ⟨hal-01972038⟩
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