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Title: Integrating Data Science Methods and Life Cycle Assessment (LCA): Application to the Power Sector - ISSST2019

Abstract

This work was presented at the International Symposium on Sustainable Systems and Transportation (ISSST) 2019 Conference in Portland, OR on June 26, 2019. Data science is radically transforming the scientific landscape. Data-intensive frameworks such as LCA can uniquely benefit from the establishment of large-scale and national datasets, and the use of data-science methods. Additionally, the synthesis and application of these data repositories in LCA can aid in improving emissions inventories, technological characterization of product systems, and uncertainty quantification. In this work, a series of case studies are used to explore the intersection of data science and LCA of the power sector. The objective of this work is to provide a broad cross-section of data sources, methods, and approaches that have been applied to characterize the life cycle of power systems, but are generalizable across multiple LCA research domains.

Authors:
 [1];  [1];  [1];  [2]
  1. KeyLogic
  2. NETL
Publication Date:
Research Org.:
NETL
Sponsoring Org.:
FE
OSTI Identifier:
1576775
DOE Contract Number:  
DE-FE0025912
Resource Type:
Conference
Resource Relation:
Conference: International Symposium on Sustainable Systems and Transportation (ISSST) 2019 Conference Portland, OR 6/26/2019 - 6/26/2019
Country of Publication:
United States
Language:
English

Citation Formats

Littlefield, James, Zaimes, George G., Cooney, Greg, and Skone, Timothy J. Integrating Data Science Methods and Life Cycle Assessment (LCA): Application to the Power Sector - ISSST2019. United States: N. p., 2019. Web.
Littlefield, James, Zaimes, George G., Cooney, Greg, & Skone, Timothy J. Integrating Data Science Methods and Life Cycle Assessment (LCA): Application to the Power Sector - ISSST2019. United States.
Littlefield, James, Zaimes, George G., Cooney, Greg, and Skone, Timothy J. Wed . "Integrating Data Science Methods and Life Cycle Assessment (LCA): Application to the Power Sector - ISSST2019". United States. https://www.osti.gov/servlets/purl/1576775.
@article{osti_1576775,
title = {Integrating Data Science Methods and Life Cycle Assessment (LCA): Application to the Power Sector - ISSST2019},
author = {Littlefield, James and Zaimes, George G. and Cooney, Greg and Skone, Timothy J.},
abstractNote = {This work was presented at the International Symposium on Sustainable Systems and Transportation (ISSST) 2019 Conference in Portland, OR on June 26, 2019. Data science is radically transforming the scientific landscape. Data-intensive frameworks such as LCA can uniquely benefit from the establishment of large-scale and national datasets, and the use of data-science methods. Additionally, the synthesis and application of these data repositories in LCA can aid in improving emissions inventories, technological characterization of product systems, and uncertainty quantification. In this work, a series of case studies are used to explore the intersection of data science and LCA of the power sector. The objective of this work is to provide a broad cross-section of data sources, methods, and approaches that have been applied to characterize the life cycle of power systems, but are generalizable across multiple LCA research domains.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {6}
}

Conference:
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