Study of bioethanol life cycle greenhouse gas emissions based on a hybrid life cycle approach

DOI

10.2991/978-2-38476-277-4_69How to use a DOI?

Keywords

EIO-LCA; Bioethnol; Greenhouse gas emissions

Abstract

A hybrid life cycle assessment model was constructed based on China’s 2018 EIO-LCA model and PLCA method, and life cycle GHG emissions including corn ethanol, cassava ethanol and sweet sorghum ethanol were calculated and disaggregated to the remaining 42 industry sectors. The study showed that the life cycle GHG emissions of corn ethanol were 4877.78 kgCO₂eq/t ethanol, which was the highest among the three types of ethanol, and the life cycle GHG emissions of cassava ethanol were 4183.80 kgCO₂eq/t ethanol, which was the lowest among the three types of ethanol. Of the indirect emissions from the three types of ethanol, the sectors that emit the most are all in the production and supply of electricity and heat, which account for 30-32% of the indirect emissions. In addition, of the three types of ethanol, only cassava ethanol has lower GHG emissions than conventional gasoline, with a reduction of 6.1% relative to conventional gasoline. The hybrid life cycle approach can calculate the GHG emissions of bioethanol in a more comprehensive way and can reflect the distribution of indirect emissions across sectors, which is instructive for relevant emission reduction policies.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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.

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TY  - CONF
AU  - Xiaoze Wang
PY  - 2024
DA  - 2024/09/02
TI  - Study of bioethanol life cycle greenhouse gas emissions based on a hybrid life cycle approach
BT  - Proceedings of the 2024 10th International Conference on Humanities and Social Science Research (ICHSSR 2024)
PB  - Atlantis Press
SP  - 631
EP  - 640
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-277-4_69
DO  - 10.2991/978-2-38476-277-4_69
ID  - Wang2024
ER  -