Computational Tools for Accelerating Carbon Capture Process Development

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This presentation reports development of advanced computational tools to accelerate next generation technology development. These tools are to develop an optimized process using rigorous models. They include: Process Models; Simulation-Based Optimization; Optimized Process; Uncertainty Quantification; Algebraic Surrogate Models; and Superstructure Optimization (Determine Configuration).

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Miller, David; Sahinidis, N.V,; Cozad, A; Lee, A; Kim, H; Morinelly, J. et al. June 4, 2013.

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This presentation is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by the UNT Libraries Government Documents Department to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 25 times. More information about this presentation can be viewed below.

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Description

This presentation reports development of advanced computational tools to accelerate next generation technology development. These tools are to develop an optimized process using rigorous models. They include: Process Models; Simulation-Based Optimization; Optimized Process; Uncertainty Quantification; Algebraic Surrogate Models; and Superstructure Optimization (Determine Configuration).

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  • Carbon Capture Simulation Initative

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  • Report No.: NETL-PUB-639
  • Office of Scientific & Technical Information Report Number: 1121724
  • Archival Resource Key: ark:/67531/metadc872674

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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Creation Date

  • June 4, 2013

Added to The UNT Digital Library

  • Sept. 16, 2016, 12:32 a.m.

Description Last Updated

  • May 9, 2019, 2:23 p.m.

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Miller, David; Sahinidis, N.V,; Cozad, A; Lee, A; Kim, H; Morinelly, J. et al. Computational Tools for Accelerating Carbon Capture Process Development, presentation, June 4, 2013; United States. (https://digital.library.unt.edu/ark:/67531/metadc872674/: accessed April 24, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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