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Life-cycle studies of biodiesel in Europe: A review addressing the variability of results and modeling issues

期刊

RENEWABLE & SUSTAINABLE ENERGY REVIEWS
卷 15, 期 1, 页码 338-351

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2010.09.013

关键词

Biofuels; Energy requirement; GHG intensity; Monte-Carlo simulation; Rapeseed Methyl Ester (RME); Transportation

资金

  1. Portuguese Science and Technology Foundation (FCT) [PTDC/TRA/72996/2006, MIT/SET/0014/2009]
  2. FCT [SFRH/BD/30237/2006]
  3. Energy for Sustainability initiative at the University of Coimbra
  4. MIT-Portugal

向作者/读者索取更多资源

Renewable energy sources, and particularly biofuels, are being promoted as possible solutions to address global warming and the depletion of petroleum resources. Nevertheless, significant disagreement and controversies exist regarding the actual benefits of biofuels displacing fossil fuels, as shown by a large number of life-cycle studies that have varying and sometimes contradictory conclusions. This article presents a comprehensive review of life-cycle studies of biodiesel in Europe. Studies have been compared in terms of nonrenewable primary energy requirement and GHG intensity of biodiesel. Recently published studies negate the definite and deterministic advantages for biodiesel presented in former studies. A high variability of results, particularly for biodiesel GHG intensity, with emissions ranging from 15 to 170 gCO(2)eq MJ(f)(-1) has been observed. A detailed assessment of relevant aspects, including major assumptions, modeling choices and results, has been performed. The main causes for this high variability have been investigated, with emphasis on modeling choices. Key issues found are treatment of co-product and land use modeling, including high uncertainty associated with N2O and carbon emissions from cultivated soil. Furthermore, a direct correlation between how soil emissions were modeled and increasing values for calculated GHG emission has been found. A robust biodiesel life-cycle modeling has been implemented and the main sources of uncertainty have been investigated to show how uncertainty can be addressed to improve the transparency and reliability of results. Recommendations for further research work concerning the improvement of biofuel life cycle modeling are also presented. (C) 2010 Elsevier Ltd. All rights reserved.

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