Life-cycle modeling framework for generating energy and greenhouse gas emissions inventory of emerging technologies in the chemical industry

Yuan Yao*, Eric R Masanet

*Corresponding author for this work

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

Assessing the life-cycle energy and environmental impacts of emerging technologies is critical to promote sustainable chemical production because such assessment can provide policy makers with useful insights for future investment and technology deployment; it also provides manufacturers and researchers with quantitative understandings of technology potential, possible bottlenecks, and future Research, Development, and Deployment directions. However, this is a challenging task for emerging technologies due to the lack of inventory data. In this paper, a general and flexible modeling framework was developed to generate the inventory data for new technologies in the chemical industry from a life cycle perspective. The modeling framework is applied to an emerging technology in the U.S. ethylene industry, ethane oxidative dehydrogenation, for demonstration. Broadly, the work described in this paper provides a decision-support method that can be further used by researchers, environment/energy analysts, and policy makers to evaluate the net benefits of innovative technologies, guide early-stage technology development and investment decisions, and conduct strategic planning for meeting energy and emissions reduction goals of the U.S. chemical industry.

Original languageEnglish (US)
Pages (from-to)768-777
Number of pages10
JournalJournal of Cleaner Production
Volume172
DOIs
StatePublished - Jan 20 2018

Keywords

  • Chemical industry
  • Emerging technologies
  • Ethane oxidative dehydrogenation
  • Life cycle inventory generation

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Environmental Science(all)
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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