Literature DB >> 30220903

A Comparison of Major Petroleum Life Cycle Models.

Donald Vineyard1, Wesley W Ingwersen2.   

Abstract

Many organizations have attempted to develop an accurate well-to-pump life cycle model of petroleum products in order to inform decision makers of the consequences of its use. Our paper studies five of these models, demonstrating the differences in their predictions and attempting to evaluate their data quality. Carbon dioxide well-to-pump emissions for gasoline showed a variation of 35%, and other pollutants such as ammonia and particulate matter varied up to 100%. Differences in allocation do not appear to explain differences in predictions. Effects of these deviations on well-to-wheels passenger vehicle and truck transportation life cycle models may be minimal for effects such as global warming potential (6% spread), but for respiratory effects of criteria pollutants (41% spread) and other impact categories, they can be significant. A data quality assessment of the models' documentation revealed real differences between models in temporal and geographic representativeness, completeness, as well as transparency. Stakeholders may need to consider carefully the tradeoffs inherent when selecting a model to conduct life cycle assessments for systems that make heavy use of petroleum products.

Entities:  

Keywords:  Life cycle assessment Petroleum refining Data quality Transportation

Year:  2017        PMID: 30220903      PMCID: PMC6134862          DOI: 10.1007/s10098-016-1260-6

Source DB:  PubMed          Journal:  Clean Technol Environ Policy        ISSN: 1618-954X            Impact factor:   3.636


  5 in total

1.  Life cycle environmental impacts of selected U.S. ethanol production and use pathways in 2022.

Authors:  David D Hsu; Daniel Inman; Garvin A Heath; Edward J Wolfrum; Margaret K Mann; Andy Aden
Journal:  Environ Sci Technol       Date:  2010-07-01       Impact factor: 9.028

2.  Comparative evaluation of life cycle assessment models for solid waste management.

Authors:  Jörg Winkler; Bernd Bilitewski
Journal:  Waste Manag       Date:  2007-04-10       Impact factor: 7.145

3.  Uncertainty in regional-average petroleum GHG intensities: countering information gaps with targeted data gathering.

Authors:  Adam R Brandt; Yuchi Sun; Kourosh Vafi
Journal:  Environ Sci Technol       Date:  2014-12-23       Impact factor: 9.028

4.  U.S. refinery efficiency: impacts analysis and implications for fuel carbon policy implementation.

Authors:  Grant S Forman; Vincent B Divita; Jeongwoo Han; Hao Cai; Amgad Elgowainy; Michael Wang
Journal:  Environ Sci Technol       Date:  2014-06-17       Impact factor: 9.028

5.  Energy efficiency and greenhouse gas emission intensity of petroleum products at U.S. refineries.

Authors:  Amgad Elgowainy; Jeongwoo Han; Hao Cai; Michael Wang; Grant S Forman; Vincent B DiVita
Journal:  Environ Sci Technol       Date:  2014-06-17       Impact factor: 9.028

  5 in total

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