TY - GEN
T1 - Assessment of supply chain energy efficiency potentials
T2 - 2009 IEEE International Symposium on Sustainable Systems and Technology, ISSST '09 in Cooperation with 2009 IEEE International Symposium on Technology and Society, ISTAS
AU - Masanet, Eric
AU - Kramer, Klaas Jan
AU - Homan, Gregory
AU - Brown, Richard
AU - Worrell, Ernst
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - 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 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.
AB - 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 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.
KW - Energy efficiency
KW - Input-output analysis
KW - Life-cycle assessment
KW - Supply chain modeling
UR - http://www.scopus.com/inward/record.url?scp=77950993211&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950993211&partnerID=8YFLogxK
U2 - 10.1109/ISSST.2009.5156697
DO - 10.1109/ISSST.2009.5156697
M3 - Conference contribution
AN - SCOPUS:77950993211
SN - 9781424434565
T3 - 2009 IEEE International Symposium on Sustainable Systems and Technology, ISSST '09 in Cooperation with 2009 IEEE International Symposium on Technology and Society, ISTAS
BT - 2009 IEEE International Symposium on Sustainable Systems and Technology, ISSST '09 in Cooperation with 2009 IEEE International Symposium on Technology and Society, ISTAS
Y2 - 18 May 2009 through 20 May 2009
ER -