Greenhouse gas emissions embedded in US-China fuel ethanol trade: A comparative well-to-wheel estimate

Greenhouse gas emissions embedded in US-China fuel ethanol trade: A comparative well-to-wheel... The US-China biofuel trade has experienced exponential growth in the past few years. This study conducts life cycle analysis on the US-China fuel ethanol trade and compares the greenhouse gas (GHG) emissions from ethanol produced in China with ethanol imported from the U.S. We conduct lifecycle analysis for five China ethanol production pathways – corn, cassava, sweet sorghum, corn stover, and corncob, using the GREET (Greenhouse gases, Regulated Emissions and Energy use in Transportation) model. The well-to-pump (WTP) GHG emissions are estimated to be 54–234 gCO2e/MJ. The WTP emissions of ethanol imported from the U.S. are lower than starch- and sugar-based ethanol in China. By building vehicle pathways for passenger cars in China, we estimate the well-to-wheel emissions to be 184–253 gCO2e/km for spark-ignition (SI) engine vehicles. Overall, importing ethanol from the U.S. is estimated to reduce emissions by 34.21 gCO2e/MJ on average, suggesting great potential of imported ethanol on curbing China's GHG emissions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Cleaner Production Elsevier

Greenhouse gas emissions embedded in US-China fuel ethanol trade: A comparative well-to-wheel estimate

Loading next page...
 
/lp/elsevier/greenhouse-gas-emissions-embedded-in-us-china-fuel-ethanol-trade-a-PL09S0M1gS
Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0959-6526
D.O.I.
10.1016/j.jclepro.2018.02.080
Publisher site
See Article on Publisher Site

Abstract

The US-China biofuel trade has experienced exponential growth in the past few years. This study conducts life cycle analysis on the US-China fuel ethanol trade and compares the greenhouse gas (GHG) emissions from ethanol produced in China with ethanol imported from the U.S. We conduct lifecycle analysis for five China ethanol production pathways – corn, cassava, sweet sorghum, corn stover, and corncob, using the GREET (Greenhouse gases, Regulated Emissions and Energy use in Transportation) model. The well-to-pump (WTP) GHG emissions are estimated to be 54–234 gCO2e/MJ. The WTP emissions of ethanol imported from the U.S. are lower than starch- and sugar-based ethanol in China. By building vehicle pathways for passenger cars in China, we estimate the well-to-wheel emissions to be 184–253 gCO2e/km for spark-ignition (SI) engine vehicles. Overall, importing ethanol from the U.S. is estimated to reduce emissions by 34.21 gCO2e/MJ on average, suggesting great potential of imported ethanol on curbing China's GHG emissions.

Journal

Journal of Cleaner ProductionElsevier

Published: May 10, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off