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BETO 2021 Peer Review - FCIC Task 6: High Temperature Conversion
The impacts of feedstock variability on pyrolysis processes are significant but poorly defined. Current engineering designs are based on empirical guidelines, useful only over a narrow range of feedstock properties. The objectives of this project are to (1) Develop science-based knowledge of how feedstock attributes and operational parameters impact pyrolysis process reliability and product quality; and (2) Build an experimental and computational toolset that predicts these outcomes, enabling processes to optimize reliability and product quality. Biomass is a complex feedstock. Controlling for and testing the effects of individual attributes is very challenging. This project couples multiscale experimentation and modeling to accurately capture the fundamental physics and chemistry of biomass flow and conversion behavior in feeding and pyrolysis reactor operations. Our focus is on pine residue attributes – anatomical fraction (bark, needles, wood), particle morphology (size/shape distribution, density, porosity), and chemical composition (extractives, biopolymers, alkali metals) – that impact product quality for downstream catalytic upgrading. Because detailed pyrolysis product characterization is limited, cutting-edge analytical techniques are being developed to reveal impactful product attributes. The tools and knowledge developed here will enable integrated pyrolysis-based processes that are more robust, flexible, and market-responsive with respect to feedstock variability.
Task 2: Radiolytic Gas Generation due to ASNF Corrosion Layers (Public Talk)
Technical oral presentation for the virtual US Nuclear Waste Technical Review Board Summer 2021 Board Meeting to be hold on the 24th of August 2021.
Evaluating the Efficiency of OpenMP Tasking for Unbalanced Computationon Diverse CPU Architectures.
Abstract not provided.
COVID-19 Response Machine Learning Sub-Task Progress Report.
Abstract not provided.
Integrating Inter-Node Communication with a Resilient Asynchronous Many-Task Runtime System.
Abstract not provided.
Towards Distributed Software Resilience in Asynchronous Many-Task Programming Models.
Abstract not provided.
Towards Distributed Software Resilience in Asynchronous Many-Task Programming Models.
Abstract not provided.
Flow and Transport Modeling in Fractured Crystalline Rock Using PFLOTRAN and dfnWorks: Crystalline Task F.
Abstract not provided.
Progress and Status of Task 1c: Forward Offsite Consequence Analysis.
Abstract not provided.
BETO 2021 Peer Review - FCIC Task 5 - Preprocessing
In the study of feedstock variability, this presentation specifically looks at preprocessing processes that will created well-defined and homogenous feedstock from variable biomass resources, in the quest to produce homogeneous intermediates that will be converted into market-ready products. The objective of this stage of the project is to develop science-based design and operation principles informed by TEA/LCA that result in predictable, reliable, and scalable performance of preprocessing unit operations (comminution, fractionation, deconstruction, and real-time imaging).
Advanced Reaction Systems (ARS) FWP1022405 Task 4: Advanced Manufacturing and Materials Technologies for Gasification
2021 Crosscutting Research and Advanced Energy Systems Project Review Meeting, Virtual, May 4-5, 2021
Implementation of Task Variance Model in Security Assessment Models
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