Literature DB >> 30717588

Expansion of the Petroleum Refinery Life Cycle Inventory Model to Support Characterization of a Full Suite of Commonly Tracked Impact Potentials.

Ben Young1, Troy Hottle1, Troy Hawkins2, Matthew Jamieson3, Gregory Cooney3, Kavan Motazedi4, Joule Bergerson4.   

Abstract

This study updates the Petroleum Refinery Life Cycle Inventory Model (PRELIM) to provide a more complete gate-to-gate life cycle inventory and to allow for the calculation of a full suite of impact potentials commonly used in life cycle assessment (LCA) studies. Prior to this update, PRELIM provided results for energy use and greenhouse gas emissions from petroleum refineries with a level of detail suitable for most LCA studies in support of policy decisions. We updated the model to add criteria air pollutants, hazardous air pollutants, releases to water, releases to land, and managed wastes reflecting 2014 reported releases and waste management practices using data from the U.S. Environmental Protection Agency Greenhouse Gas Reporting Program, National Emissions Inventory, Discharge Monitoring Reports, and Toxic Release Inventory together with process unit capacities and fuel consumption data from the U.S. Energy Information Administration (U.S. EIA). The variability of refinery subprocess release factors is characterized using log-normal distributions with parameters set based on the distribution of release factors across facilities. The U.S. EPA Tool for the Reduction and Assessment of Chemical and Environmental Impacts life cycle impact assessment (LCIA) method is used together with the updated inventory data to provide impact potentials in the PRELIM dashboard interface. Release inventories at the subprocess level enable greater responsiveness to variable selection within PRELIM, such as refinery configuration, and allocation to specific refinery products. The updated version also provides a template to allow users to import PRELIM inventory results into the openLCA software tool as unit process data sets. Here we document and validate the model updates. Impact potentials from the national crude mix in 2014 are compared to impacts from the 2005 mix to demonstrate the impact of assay and configuration on the refining sector over time. The expanded version of PRELIM offers users a reliable, transparent, and streamlined tool for estimating the effect of changes in petroleum refineries on LCIA results in the context of policy analysis.

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Year:  2019        PMID: 30717588     DOI: 10.1021/acs.est.8b05572

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


  3 in total

1.  Energy and emissions implications of automated vehicles in the U.S. energy system.

Authors:  Kristen E Brown; Rebecca Dodder
Journal:  Transp Res D Transp Environ       Date:  2019       Impact factor: 5.495

2.  A System for Standardizing and Combining U.S. Environmental Protection Agency Emissions and Waste Inventory Data.

Authors:  Ben Young; Wesley W Ingwersen; Matthew Bergmann; Jose D Hernandez-Betancur; Tapajyoti Ghosh; Eric Bell; Sarah Cashman
Journal:  Appl Sci (Basel)       Date:  2022-03-28       Impact factor: 2.838

3.  Improving the reliability of chemical manufacturing life cycle inventory constructed using secondary data.

Authors:  David E Meyer; Sarah Cashman; Anthony Gaglione
Journal:  J Ind Ecol       Date:  2021-02-01       Impact factor: 6.946

  3 in total

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