Led by Philip Smith and Eric Eddings
The 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: verification, experimental data, surrogate model development, validation/uncertainty quantification, and tools creation.
- Verification. Software verification is performed at a number of levels. First, formal verification analysis is performed, including: order of accuracy convergence for all spatial and temporal discretization, analytical solutions, and method of manufactured solutions. Second, regression testing is performed to ensure that the code base maintains its integrity.
- Experimental data. The Experimental Data and Analysis Group is compiling and analyzing datasets from various sources for use in each brick of the the validation hierarchy, with a goal of exploring fire-side design constraints of a 350MWe high-efficiency ultra-supercritical oxy-coal power boiler. This group will focus on validation from bench to pilot-scale. Initial data sets will be provided early to facilitate preliminary simulations, followed by in-depth uncertainty evaluations of the early data sets to facilitate subsequent consistency analyses. Alstom's participation in this group is key to its success.
- Surrogate model development. To explore the uncertainty space for the V/UQ analysis we cannot afford to perform an exascale simulation for each function evaluation. The Surrogate Model Creation and Analysis Group is developing surrogate models that can be used to faithfully reproduce the output function (quantity of interest for the intended use of the simulation, i.e. heat flux distribution) as a function of the uncertain parameters for the V/UQ analysis to follow.
- Tools Creation. The Tools Group is developing revolutionary algorithmic, theoretical, computational and mathematical frameworks that forms the foundation of the deterministic (DataCollaboration) and the probabilistic (Bayesian) approaches. These tools will then be used by the V/UQ Analysis Group to perform the UQ-predictive analysis of the CCMC overarching problem
Philip Smith, V&V/UQ Lead, CCMSC Director, ICSE Director, and Professor, Chemical Engineering, University of Utah
Eric Eddings, V&V/UQ co-Lead, Associate Dean, College of Engineering and Professor, Chemical Engineering, University of Utah
Paul Chapman, Alstom Boiler
Michael Frenklach, Professor, Mechanical Engineering, University of California Berkeley
James Kenney, Alstom Boiler
Andrew Packard, Professor, Mechanical Engineering, University of California Berkeley
Jerry Sacks, Director Emeritus and Senior Fellow, National Institute of Statistical Sciences
Sean Smith, Research Assistant Professor, Chemical Engineering, University of Utah