The Carbon-Capture Multidisciplinary Simulation Center (CCMSC) is demonstrating exascale computing with V&V/UQ to more rapidly deploy a new technology for providing low cost, low emission electric power generation to meet the growing energy needs of the U.S. We are using a hierarchal validation approach to obtain simultaneous consistency between a set of selected experiments at different scales embodying the key physics components (large eddy simulations, multiphase flow, particle combustion and radiation) to predict performance in a 350MWe oxy-fired boiler.

To solve this problem, we are developing the following tools:

  1. exascale computing software that will be regularly released through open-source licensing,
  2. tools for V&V/UQ for use with other large applications with expensive function evaluations and sparse/expensive experimental data, and
  3. new advances in computational fluid dynamics, multiphase reacting flow and radiative heat transfer.

The CCMSC is funded by the Predictive Science Academic Alliance Program.

 
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Predictive Science
Exascale Computing and Software
V&V/UQ

predictive-scienceThe Predictive Science Team is focusing on four key physics components that will improve the predictivity of simulations of the 350 MWe oxycoal-fired boiler:

1. turbulent fluid transport,

2. multiphase flow,

3. particle combustion, and

4. radiative heat transfer.

Advances in these four areas will provide predictions of a wider range of phenomena, over a wider range of space and time scales, with improved predictive accuracy and reduced uncertainty, or at least a better understanding of the uncertainty in comparison to existing capabilities.We anticipate the majority of the disciplinary advances will come as a result of the tight coupling between the predictive science team with the exascale and V/UQ activities.

 

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exascaleOur CCMSC will start with a proven computational platform (UintahX) and sequentially move to multipe taflop and eventually exascale computing. We will accomplish this transformation with three software infrastructure components:

1. the exascale runtime system,

2. TASC (Transparent Abstractions for Scalable Computing) representing a high-level, portable "assembly language" for scientific computation with transparent abstraction by using a sub-Turing, embedded domain-specific language, and

3. the data management and visualization infrastructure for dealing with large data and for connecting that data to the visualization and data analysis components.

 

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vv-uqThe V&V/UQTeam will both provide the basis for risk assessment of the new technology and drive the technical priorities and resource allocation for the research within the CCMSC. The results of the V&V/UQ process will determine which physics and which framework components are critical to the Center's success. The V&V/UQ Team is organized into five groups from three institutions:

1. verification

2. experimental data

3. surrogate model development

4. validation/uncertainty quantification

5. tools creation

 

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Research Highlights

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Visualization Research

Large-scale analysis and visualization is becoming increasingly important as supercomputers and their simulations produce larger and larger data. These large data sizes are pushing the limits of traditional rendering algorithms and tools. In order to better… Read more