To develop and establish best practice procedures for verification, validation, and uncertainty quantification in computational modeling and simulations as applied in non-nuclear energy systems. Computational modeling includes component level and system level simulation, big data analytics, and data assimilation. In this context, non-nuclear energy systems encompass engineering elements that include, but are not limited to, exploration, production, and processing of fossil-fuels and renewables, plant-scale processes, and transmission and distribution systems.
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