Greenhouse gas emission curves for advanced biofuel supply chains

被引:57
|
作者
Daioglou, Vassilis [1 ,2 ]
Doelman, Jonathan C. [1 ]
Stehfest, Elke [1 ]
Mueller, Christoph [3 ]
Wicke, Birka [2 ]
Faaij, Andre [4 ]
van Vuuren, Detlef P. [1 ,2 ]
机构
[1] PBL Netherlands Environm Assessment Agcy, The Hague, Netherlands
[2] Univ Utrecht, Copernicus Inst Sustainable Dev, Utrecht, Netherlands
[3] Potsdam Inst Climate Impact Res, Potsdam, Germany
[4] Univ Groningen, ESRIG, Groningen, Netherlands
关键词
LAND-USE CHANGE; CROP YIELD; CLIMATE-CHANGE; BIOENERGY; UNCERTAINTY; FOREST;
D O I
10.1038/s41558-017-0006-8
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Most climate change mitigation scenarios that are consistent with the 1.5-2 degrees C target rely on a large-scale contribution from biomass, including advanced (second-generation) biofuels. However, land-based biofuel production has been associated with substantial land-use change emissions. Previous studies show a wide range of emission factors, often hiding the influence of spatial heterogeneity. Here we introduce a spatially explicit method for assessing the supply of advanced biofuels at different emission factors and present the results as emission curves. Dedicated crops grown on grasslands, savannahs and abandoned agricultural lands could provide 30 EJ(Biofuel) yr(-1) with emission factors less than 40 kg of CO2-equivalent (CO(2)e) emissions per GJ(Biofuel) (for an 85-year time horizon). This increases to 100 EJ(Biofuel) yr(-1) for emission factors less than 60 kgCO(2)eGJ(Biofuel)(-1). While these results are uncertain and depend on model assumptions (including time horizon, spatial resolution, technology assumptions and so on), emission curves improve our understanding of the relationship between biofuel supply and its potential contribution to climate change mitigation while accounting for spatial heterogeneity.
引用
收藏
页码:920 / +
页数:6
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