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The Science of The Total Environment
Article . 2010 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Greenhouse gases emissions and energy use of wheat grain-based bioethanol fuel blends

Authors: C. C. O. Scacchi; S. González García; CASERINI, STEFANO; RIGAMONTI, LUCIA;

Greenhouse gases emissions and energy use of wheat grain-based bioethanol fuel blends

Abstract

This study focuses on the potential energetic and environmental impacts associated with the production of wheat grain-based bioethanol in Lombardia (Italy), with a "seed-to-wheel" approach (i.e. taking into account the production and use phase). Greenhouse gas emissions (GHGs) were estimated through the CML 2 baseline 2000 methodology counting the CO(2) equivalent emissions, while the energy flow indicator was estimated using the Ecoindicator 95 methodology. The impact of the different phases involved in the production and use of bioethanol have been analysed: the agricultural production of wheat grain, its transformation into bioethanol, the production of gasoline and the use of 5 different blends (from pure gasoline to pure ethanol). The results show that ethanol fuel, used in the form of blends in gasoline, can help reduce energy use and GHGs. In particular, the use of pure ethanol was found to be the best alternative presenting the lowest GHGs (saving about 32% of CO(2)eq emissions in comparison to gasoline) and the minor energy use (63% saving). Differences between low-ethanol blends and gasoline are minimal and dependent on the specific fuel consumption of the vehicle. The sensitivity analysis performed to test the robustness of results through the change of some basic assumptions (specific fuel consumption, N(2)O emissions from agricultural phase, allocation method) shows the sensitivity of GHGs saving to the adopted allocation method.

Country
Italy
Keywords

Greenhouse Effect, Air Pollutants, 660, 330, Ethanol, Bioethanol, Carbon Dioxide, Greenhouse gas emissions (GHGs), Biofuel, Air Pollution, Biofuels, Wheat, Bioethanol, Greenhouse gas emissions (GHGs), Life cycle assessment (LCA), Lombardia, Wheat, Biofuel, Life cycle assessment (LCA), Triticum, Lombardia, Environmental Monitoring

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    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Top 10%