• DocumentCode
    2410577
  • Title

    Assessment of supply chain energy efficiency potentials: A U.S. case study

  • Author

    Masanet, Eric ; Kramer, Klaas Jan ; Homan, Gregory ; Brown, Richard ; Worrell, Ernst

  • Author_Institution
    Environ. Energy Technol. Div., Lawrence Berkeley Nat. Lab., Berkeley, CA, USA
  • fYear
    2009
  • fDate
    18-20 May 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper summarizes a modeling framework that characterizes the key underlying technologies and processes that contribute to the supply chain energy use and greenhouse gas (GHG) emissions of a variety of goods and services purchased by U.S. consumers. The framework couples an input-output supply chain modeling approach with ldquobottom-uprdquo fuel end use models for individual IO sectors. This fuel end use modeling detail allows energy and policy analysts to better understand the underlying technologies and processes contributing to the supply chain energy and GHG ldquofootprintsrdquo of goods and services. To illustrate the policy-relevance of this approach, a case study was conducted to estimate achievable household GHG footprint reductions associated with the adoption of best practice energy-efficient supply chain technologies.
  • Keywords
    air pollution; supply chain management; U.S. case study; greenhouse gas emissions; household GHG footprint reductions; input-output supply chain modeling approach; supply chain energy efficiency potentials; supply chain energy use; Best practices; Carbon dioxide; Energy efficiency; Environmental economics; Fuel economy; Global warming; Paper technology; Potential energy; Power generation economics; Supply chains; Life-cycle assessment; energy efficiency; input-output analysis; supply chain modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Systems and Technology, 2009. ISSST '09. IEEE International Symposium on
  • Conference_Location
    Phoenix, AZ
  • Print_ISBN
    978-1-4244-4324-6
  • Type

    conf

  • DOI
    10.1109/ISSST.2009.5156697
  • Filename
    5156697