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Well-to-wake analysis of ethanol-to-jet and sugar-to-jet pathways

BACKGROUND: To reduce the environmental impacts of the aviation sector as air traffic grows steadily, the aviation industry has paid increasing attention to bio-based alternative jet fuels (AJFs), which may provide lower life-cycle petroleum consumption and greenhouse gas (GHG) emissions than petrol...

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Autores principales: Han, Jeongwoo, Tao, Ling, Wang, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5260116/
https://www.ncbi.nlm.nih.gov/pubmed/28138339
http://dx.doi.org/10.1186/s13068-017-0698-z
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author Han, Jeongwoo
Tao, Ling
Wang, Michael
author_facet Han, Jeongwoo
Tao, Ling
Wang, Michael
author_sort Han, Jeongwoo
collection PubMed
description BACKGROUND: To reduce the environmental impacts of the aviation sector as air traffic grows steadily, the aviation industry has paid increasing attention to bio-based alternative jet fuels (AJFs), which may provide lower life-cycle petroleum consumption and greenhouse gas (GHG) emissions than petroleum jet fuel. This study presents well-to-wake (WTWa) results for four emerging AJFs: ethanol-to-jet (ETJ) from corn and corn stover, and sugar-to-jet (STJ) from corn stover via both biological and catalytic conversion. For the ETJ pathways, two plant designs were examined: integrated (processing corn or corn stover as feedstock) and distributed (processing ethanol as feedstock). Also, three H(2) options for STJ via catalytic conversion are investigated: external H(2) from natural gas (NG) steam methane reforming (SMR), in situ H(2), and H(2) from biomass gasification. RESULTS: Results demonstrate that the feedstock is a key factor in the WTWa GHG emissions of ETJ: corn- and corn stover-based ETJ are estimated to produce WTWa GHG emissions that are 16 and 73%, respectively, less than those of petroleum jet. As for the STJ pathways, this study shows that STJ via biological conversion could generate WTWa GHG emissions 59% below those of petroleum jet. STJ via catalytic conversion could reduce the WTWa GHG emissions by 28% with H(2) from NG SMR or 71% with H(2) from biomass gasification than those of petroleum jet. This study also examines the impacts of co-product handling methods, and shows that the WTWa GHG emissions of corn stover-based ETJ, when estimated with a displacement method, are lower by 11 g CO(2)e/MJ than those estimated with an energy allocation method. CONCLUSION: Corn- and corn stover-based ETJ as well as corn stover-based STJ show potentials to reduce WTWa GHG emissions compared to petroleum jet. Particularly, WTWa GHG emissions of STJ via catalytic conversion depend highly on the hydrogen source. On the other hand, ETJ offers unique opportunities to exploit extensive existing corn ethanol plants and infrastructure, and to provide a boost to staggering ethanol demand, which is largely being used as gasoline blendstock. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13068-017-0698-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-52601162017-01-30 Well-to-wake analysis of ethanol-to-jet and sugar-to-jet pathways Han, Jeongwoo Tao, Ling Wang, Michael Biotechnol Biofuels Research BACKGROUND: To reduce the environmental impacts of the aviation sector as air traffic grows steadily, the aviation industry has paid increasing attention to bio-based alternative jet fuels (AJFs), which may provide lower life-cycle petroleum consumption and greenhouse gas (GHG) emissions than petroleum jet fuel. This study presents well-to-wake (WTWa) results for four emerging AJFs: ethanol-to-jet (ETJ) from corn and corn stover, and sugar-to-jet (STJ) from corn stover via both biological and catalytic conversion. For the ETJ pathways, two plant designs were examined: integrated (processing corn or corn stover as feedstock) and distributed (processing ethanol as feedstock). Also, three H(2) options for STJ via catalytic conversion are investigated: external H(2) from natural gas (NG) steam methane reforming (SMR), in situ H(2), and H(2) from biomass gasification. RESULTS: Results demonstrate that the feedstock is a key factor in the WTWa GHG emissions of ETJ: corn- and corn stover-based ETJ are estimated to produce WTWa GHG emissions that are 16 and 73%, respectively, less than those of petroleum jet. As for the STJ pathways, this study shows that STJ via biological conversion could generate WTWa GHG emissions 59% below those of petroleum jet. STJ via catalytic conversion could reduce the WTWa GHG emissions by 28% with H(2) from NG SMR or 71% with H(2) from biomass gasification than those of petroleum jet. This study also examines the impacts of co-product handling methods, and shows that the WTWa GHG emissions of corn stover-based ETJ, when estimated with a displacement method, are lower by 11 g CO(2)e/MJ than those estimated with an energy allocation method. CONCLUSION: Corn- and corn stover-based ETJ as well as corn stover-based STJ show potentials to reduce WTWa GHG emissions compared to petroleum jet. Particularly, WTWa GHG emissions of STJ via catalytic conversion depend highly on the hydrogen source. On the other hand, ETJ offers unique opportunities to exploit extensive existing corn ethanol plants and infrastructure, and to provide a boost to staggering ethanol demand, which is largely being used as gasoline blendstock. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13068-017-0698-z) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-24 /pmc/articles/PMC5260116/ /pubmed/28138339 http://dx.doi.org/10.1186/s13068-017-0698-z Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Han, Jeongwoo
Tao, Ling
Wang, Michael
Well-to-wake analysis of ethanol-to-jet and sugar-to-jet pathways
title Well-to-wake analysis of ethanol-to-jet and sugar-to-jet pathways
title_full Well-to-wake analysis of ethanol-to-jet and sugar-to-jet pathways
title_fullStr Well-to-wake analysis of ethanol-to-jet and sugar-to-jet pathways
title_full_unstemmed Well-to-wake analysis of ethanol-to-jet and sugar-to-jet pathways
title_short Well-to-wake analysis of ethanol-to-jet and sugar-to-jet pathways
title_sort well-to-wake analysis of ethanol-to-jet and sugar-to-jet pathways
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5260116/
https://www.ncbi.nlm.nih.gov/pubmed/28138339
http://dx.doi.org/10.1186/s13068-017-0698-z
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