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Meeting MS&T24: Materials Science & Technology
Symposium Application of ICME Methods to Advance Sustainable Metallurgy and Metals Processing
Presentation Title Screening LCA for Rapid Assessment of Sustainable Production
Author(s) Daniel Garcia
On-Site Speaker (Planned) Daniel Garcia
Abstract Scope The need to decarbonize production of today's materials and those of tomorrow is vital and pressing, with some estimating that we have already surpassed 1.5 C of warming since pre-industrial times. Low or negative carbon technologies must be identified, prioritized, and scaled with profound speed to avoid the worst consequences of climate change. Booz Allen Hamilton (BAH) leverages deep expertise in life cycle assessment (LCA) and engineering to rapidly identify emerging opportunities for GHG reduction and sustainability in fields including metallurgy and metals. BAH supports clients in identifying the best technologies to decarbonize materials and industry. This talk will outline the challenges in 1) estimating the GHG reduction potential of technologies at scale before they have graduated to the bench scale and 2) tools we have developed to judiciously guide technology development efforts for clients and how the thinking behind their design can be generalized to decarbonize materials and manufacturing.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Thermodynamic Analysis of Red Mud Usage for Sustainable Iron and Steel Production
Application of CALPHAD-Based Tools to Develop More Sustainable Alloys and Processing Methods
Application of ICME Methods in Aerospace Applications
CALPHAD Simulations to Assist Sustainable Metal Processing
Green Ironmaking via Ammonia-Based Direct Reduction of Iron Ores
ICME Approaches Towards Sustainable Metal Additive Manufacturing
Pathways for Decarbonizing Steel
Quantifying Pyrometallurgy Process Options with Low-Dimensional Models
Scheil-Gulliver Constituent Diagrams for Designing Recycled Al-Alloys
Screening LCA for Rapid Assessment of Sustainable Production
The Road to Sustainable Steelmaking Technologies: Linking Fundamental and Applied Research Activities
Validation of the Coupled Random Cellular Automata Finite Element Model of Dynamic Recrystallization

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