Literature DB >> 23013493

Model to investigate energy and greenhouse gas emissions implications of refining petroleum: impacts of crude quality and refinery configuration.

Jessica P Abella1, Joule A Bergerson.   

Abstract

A petroleum refinery model, Petroleum Refinery Life-cycle Inventory Model (PRELIM), which quantifies energy use and greenhouse gas (GHG) emissions with the detail and transparency sufficient to inform policy analysis is developed. PRELIM improves on prior models by representing a more comprehensive range of crude oil quality and refinery configuration, using publicly available information, and supported by refinery operating data and experts' input. The potential use of PRELIM is demonstrated through a scenario analysis to explore the implications of processing crudes of different qualities, with a focus on oil sands products, in different refinery configurations. The variability in GHG emissions estimates resulting from all cases considered in the model application shows differences of up to 14 g CO₂eq/MJ of crude, or up to 11 g CO₂eq/MJ of gasoline and 19 g CO₂eq/MJ of diesel (the margin of deviation in the emissions estimates is roughly 10%). This variability is comparable to the magnitude of upstream emissions and therefore has implications for both policy and mitigation of GHG emissions.

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Year:  2012        PMID: 23013493     DOI: 10.1021/es3018682

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  4 in total

1.  Life cycle greenhouse gas emissions and freshwater consumption associated with Bakken tight oil.

Authors:  Ian J Laurenzi; Joule A Bergerson; Kavan Motazedi
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-14       Impact factor: 11.205

2.  Energy Return on Investment (EROI) for Forty Global Oilfields Using a Detailed Engineering-Based Model of Oil Production.

Authors:  Adam R Brandt; Yuchi Sun; Sharad Bharadwaj; David Livingston; Eugene Tan; Deborah Gordon
Journal:  PLoS One       Date:  2015-12-22       Impact factor: 3.240

3.  Life-cycle analysis of greenhouse gas emissions from renewable jet fuel production.

Authors:  Sierk de Jong; Kay Antonissen; Ric Hoefnagels; Laura Lonza; Michael Wang; André Faaij; Martin Junginger
Journal:  Biotechnol Biofuels       Date:  2017-03-14       Impact factor: 6.040

4.  Global Shipping Emissions from a Well-to-Wake Perspective: The MariTEAM Model.

Authors:  Diogo Kramel; Helene Muri; YoungRong Kim; Radek Lonka; Jørgen B Nielsen; Anna L Ringvold; Evert A Bouman; Sverre Steen; Anders H Strømman
Journal:  Environ Sci Technol       Date:  2021-10-27       Impact factor: 9.028

  4 in total

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