Global energy sector emission reductions and bioenergy use: overview of the bioenergy demand phase of the EMF-33 model c
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Global energy sector emission reductions and bioenergy use: overview of the bioenergy demand phase of the EMF-33 model comparison Nico Bauer 1 & Steven K. Rose 2 & Shinichiro Fujimori 3,4 & Detlef P. van Vuuren 5,6 & John Weyant 7 & Marshall Wise 8 & Yiyun Cui 8 & Vassilis Daioglou 5 & Matthew J. Gidden 9 & Etsushi Kato 9 & Alban Kitous 11 & Florian Leblanc 12 & Ronald Sands 13 & Fuminori Sano 14 & Jessica Strefler 1 & Junichi Tsutsui 15 & Ruben Bibas 12 & Oliver Fricko 9 & Tomoko Hasegawa 4 & David Klein 1 & Atsushi Kurosawa 10 & Silvana Mima 16 & Matteo Muratori 17
Received: 1 November 2017 / Accepted: 15 May 2018 # Springer Science+Business Media B.V., part of Springer Nature 2018
Abstract 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 This article is part of the special issue BAssessing Large-scale Global Bioenergy Deployment for Managing Climate Change (EMF-33)^ edited by Steven Rose, John Weyant, Nico Bauer, Shinichiro Fuminori, Petr Havlik, Alexander Popp, Detlef van Vuuren, and Marshall Wise. Electronic supplementary material The online version of this article (https://doi.org/10.1007/s10584-0182226-y) contains supplementary material, which is available to authorized users.
* Nico Bauer [email protected]
1
Potsdam Institute for Climate Impact Research (PIK), Leibniz Association, 601203, 14412, Potsdam, Germany
2
Energy and Environmental Analysis Research Group, Electric Power Research Institute, Washington, DC, USA
3
Department of Environmental Engineering, Kyoto University, Kyoto, Japan
4
National Institute for Environmental Studies (NIES), Tsukuba, Japan
5
Netherlands Environmental Assessment Agency (PBL), The Hague, The Netherlands
6
Copernicus Institute for Sustainable Development, Utrecht University, Utrecht, The Netherlands
7
Stanford University, Palo Alto, CA, USA
8
Pacific Northwest National Laboratory (PNNL), College Park, MD, USA
Climatic Change
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 se
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