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

Conference · Wed Jun 26 00:00:00 EDT 2019

OSTI ID:1576775

Littlefield, James; Zaimes, George G.; Cooney, Gregory

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.

• Research Organization: National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
• Sponsoring Organization: FE
• DOE Contract Number: DE-FE0025912
• OSTI ID: 1576775
• Resource Relation: Conference: Conference Name: International Symposium on Sustainable Systems and Transportation (ISSST) 2019 Conference Location: Portland, OR Start Date: 6/26/2019 12:00:00 AM End Date: 6/26/2019 12:00:00 AM
• Country of Publication: United States
• Language: English