Understanding Variability to Reduce the Energy and GHG Footprints of U.S. Ethylene Production

Yuan Yao, Diane J. Graziano, Matthew Riddle, Joe Cresko, Eric Masanet*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


Recent growth in U.S. ethylene production due to the shale gas boom is affecting the U.S. chemical industrys energy and greenhouse gas (GHG) emissions footprints. To evaluate these effects, a systematic, first-principles model of the cradle-to-gate ethylene production system was developed and applied. The variances associated with estimating the energy consumption and GHG emission intensities of U.S. ethylene production, both from conventional natural gas and from shale gas, are explicitly analyzed. A sensitivity analysis illustrates that the large variances in energy intensity are due to process parameters (e.g., compressor efficiency), and that large variances in GHG emissions intensity are due to fugitive emissions from upstream natural gas production. On the basis of these results, the opportunities with the greatest leverage for reducing the energy and GHG footprints are presented. The model and analysis provide energy analysts and policy makers with a better understanding of the drivers of energy use and GHG emissions associated with U.S. ethylene production. They also constitute a rich data resource that can be used to evaluate options for managing the industrys footprints moving forward.

Original languageEnglish (US)
Pages (from-to)14704-14716
Number of pages13
JournalEnvironmental Science and Technology
Issue number24
StatePublished - Dec 15 2015

ASJC Scopus subject areas

  • Chemistry(all)
  • Environmental Chemistry


Dive into the research topics of 'Understanding Variability to Reduce the Energy and GHG Footprints of U.S. Ethylene Production'. Together they form a unique fingerprint.

Cite this