Assessment of Supply Chain Energy Efficiency Potentials: A U.S. Case Study

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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"bottom-up" 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"footprints" of goods and services. To illustrate the policy-relevance of thisapproach, a case study was conducted to estimate ... continued below

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Masanet, Eric; Kramer, Klaas Jan; Homan, Gregory; Brown, Richard & Worrell, Ernst January 1, 2009.

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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"bottom-up" 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"footprints" of goods and services. To illustrate the policy-relevance of thisapproach, a case study was conducted to estimate achievable household GHG footprint reductions associated with the adoption of best practice energy-efficient supply chain technologies.

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  • Symposium on Sustainable Systems and Technology, 2009. ISSST '09. IEEE International

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  • Report No.: LBNL-2265E
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 970819
  • Archival Resource Key: ark:/67531/metadc928485

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  • January 1, 2009

Added to The UNT Digital Library

  • Nov. 13, 2016, 7:26 p.m.

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  • Jan. 4, 2017, 4:57 p.m.

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Masanet, Eric; Kramer, Klaas Jan; Homan, Gregory; Brown, Richard & Worrell, Ernst. Assessment of Supply Chain Energy Efficiency Potentials: A U.S. Case Study, article, January 1, 2009; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc928485/: accessed October 17, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.