Identifying Data Gaps in the Energy Supply Chains of Manufacturing Sectors with an Input-Output LCA Model

Xiaoju Chen; H. Scott Matthews; Rebecca Hanes; Alberta Carpenter

doi:10.1016/j.procir.2020.02.129

Identifying Data Gaps in the Energy Supply Chains of Manufacturing Sectors with an Input-Output LCA Model

Xiaoju Chen, H. Scott Matthews, Rebecca Hanes, Alberta Carpenter

Strategic Energy Analysis Center

Carnegie Mellon University

Research output: Contribution to journal › Article › peer-review

Abstract

National Renewable Energy Laboratory's Materials Flows through Industry tool was developed to analyze energy consumption across the supply chains of U.S. manufacturing industries. Due to the limitation of the data sources, the Tool may have incomplete data in some industries' supply chains. To overcome this issue, this study provides a method to identify data gaps in the MFI tool with the information in input-output life cycle assessment models. Results show that around 5% processes in the MFI tool have potential data gaps in the supply chain. LCA practitioners can use this information to optimize activities to improve LCA models.

Original language	American English
Pages (from-to)	494-497
Number of pages	4
Journal	Procedia CIRP
Volume	90
DOIs	https://doi.org/10.1016/j.procir.2020.02.129 https://doi.org/10.1016/j.procir.2020.02.129
State	Published - 2020
Event	27th CIRP Life Cycle Engineering Conference, LCE 2020 - Grenoble, France Duration: 13 May 2020 → 15 May 2020

Bibliographical note

Publisher Copyright:
© 2020 The Author(s). Published by Elsevier B.V.

NREL Publication Number

NREL/JA-6A20-78275

Keywords

Inventory data gaps
IO-LCA
U.S. manufacturing industries
Uncertainty

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://www.nrel.gov/docs/fy20osti/78275.pdf

Cite this

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title = "Identifying Data Gaps in the Energy Supply Chains of Manufacturing Sectors with an Input-Output LCA Model",

abstract = "National Renewable Energy Laboratory's Materials Flows through Industry tool was developed to analyze energy consumption across the supply chains of U.S. manufacturing industries. Due to the limitation of the data sources, the Tool may have incomplete data in some industries' supply chains. To overcome this issue, this study provides a method to identify data gaps in the MFI tool with the information in input-output life cycle assessment models. Results show that around 5% processes in the MFI tool have potential data gaps in the supply chain. LCA practitioners can use this information to optimize activities to improve LCA models.",

keywords = "Inventory data gaps, IO-LCA, U.S. manufacturing industries, Uncertainty",

author = "Xiaoju Chen and Matthews, {H. Scott} and Rebecca Hanes and Alberta Carpenter",

note = "Publisher Copyright: {\textcopyright} 2020 The Author(s). Published by Elsevier B.V.; 27th CIRP Life Cycle Engineering Conference, LCE 2020 ; Conference date: 13-05-2020 Through 15-05-2020",

year = "2020",

doi = "10.1016/j.procir.2020.02.129",

language = "American English",

volume = "90",

pages = "494--497",

journal = "Procedia CIRP",

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T1 - Identifying Data Gaps in the Energy Supply Chains of Manufacturing Sectors with an Input-Output LCA Model

AU - Chen, Xiaoju

AU - Matthews, H. Scott

AU - Hanes, Rebecca

AU - Carpenter, Alberta

PY - 2020

Y1 - 2020

N2 - National Renewable Energy Laboratory's Materials Flows through Industry tool was developed to analyze energy consumption across the supply chains of U.S. manufacturing industries. Due to the limitation of the data sources, the Tool may have incomplete data in some industries' supply chains. To overcome this issue, this study provides a method to identify data gaps in the MFI tool with the information in input-output life cycle assessment models. Results show that around 5% processes in the MFI tool have potential data gaps in the supply chain. LCA practitioners can use this information to optimize activities to improve LCA models.

AB - National Renewable Energy Laboratory's Materials Flows through Industry tool was developed to analyze energy consumption across the supply chains of U.S. manufacturing industries. Due to the limitation of the data sources, the Tool may have incomplete data in some industries' supply chains. To overcome this issue, this study provides a method to identify data gaps in the MFI tool with the information in input-output life cycle assessment models. Results show that around 5% processes in the MFI tool have potential data gaps in the supply chain. LCA practitioners can use this information to optimize activities to improve LCA models.

KW - Inventory data gaps

KW - IO-LCA

KW - U.S. manufacturing industries

KW - Uncertainty

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U2 - 10.1016/j.procir.2020.02.129

DO - 10.1016/j.procir.2020.02.129

M3 - Article

AN - SCOPUS:85092439368

SN - 2212-8271

VL - 90

SP - 494

EP - 497

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 27th CIRP Life Cycle Engineering Conference, LCE 2020

Y2 - 13 May 2020 through 15 May 2020

ER -

Identifying Data Gaps in the Energy Supply Chains of Manufacturing Sectors with an Input-Output LCA Model

Abstract

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

Access to Document

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