Global Warming Potential of Biomass-to-Ethanol: Review and Sensitivity Analysis through a Case Study

被引:39
|
作者
Pacheco, Rui [1 ]
Silva, Carla [2 ]
机构
[1] Univ Lisbon, Inst Super Tecn, Inst Bioengn & Biociencias, Ave Rovisco Pais 1, P-1049001 Lisbon, Portugal
[2] Univ Lisbon, Fac Ciencias, Inst Dom Luiz, P-1749016 Lisbon, Portugal
关键词
life cycle assessment; time horizon; impact category method; electricity mix; factory lifetime; dynamic LCA; LIFE-CYCLE ASSESSMENT; JERUSALEM-ARTICHOKE; BIOETHANOL PRODUCTION; FUEL ETHANOL; KLUYVEROMYCES-MARXIANUS; SUGARCANE; ENERGY; EMISSIONS; CORN; FERMENTATION;
D O I
10.3390/en12132535
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In Europe, ethanol is blended with gasoline fuel in 5 or 10% volume (E5 or E10). In USA the blend is 15% in volume (E15) and there are also pumps that provide E85. In Brazil, the conventional gasoline is E27 and there are pumps that offer E100, due to the growing market of flex fuel vehicles. Bioethanol production is usually by means of biological conversion of several biomass feedstocks (first generation sugar cane in Brazil, corn in the USA, sugar beet in Europe, or second-generation bagasse of sugarcane or lignocellulosic materials from crop wastes). The environmental sustainability of the bioethanol is usually measured by the global warming potential metric (GWP in CO(2)eq), 100 years time horizon. Reviewed values could range from 0.31 to 5.55 gCO(2)eq/L-ETOH. A biomass-to-ethanol industrial scenario was used to evaluate the impact of methodological choices on CO(2)eq: conventional versus dynamic Life Cycle Assessment; different impact assessment methods (TRACI, IPCC, ILCD, IMPACT, EDIP, and CML); electricity mix of the geographical region/country for different factory locations; differences in CO(2)eq factor for CH4 and N2O due to updates in Intergovernmental Panel on Climate Change (IPCC) reports (5 reports so far), different factory operational lifetimes and future improved productivities. Results showed that the electricity mix (factory location) and land use are the factors that have the greatest effect (up to 800% deviation). The use of the CO2 equivalency factors stated in different IPCC reports has the least influence (less than 3%). The consideration of the biogenic emissions (uptake at agricultural stage and release at the fermentation stage) and different allocation methods is also influential, and each can make values vary by 250%.
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页数:18
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