Parallel Algorithms and Software for Nuclear, Energy, and Environmental Applications. Part II: Multiphysics Software

Gaston, Derek; Guo, Luanjing; Hansen, Glen; Huang, Hai; Johnson, Richard W.; Knoll, D. A.; Newman, Christopher K.; Park, Hyeong Kae; Podgorney, Robert; Tonks, Michael; Williamson, R.L.

doi:10.4208/cicp.091010.140711s

Cited by 13 publications

(8 citation statements)

References 35 publications

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“…[23,25]) is a multipurpose subsurface simulator for coupled thermal-hydraulic-mechanical-chemical (THMC) problems and has been used for the study of geothermal reservoir dynamics, groundwater flow and transport, carbon sequestration, etc. The code was developed using Idaho National Laboratory's (INL) Multiphysics Object-Oriented Simulation Environment (MOOSE) framework [26,27]. The architecture that FALCON inherits from MOOSE has a plug-and-play modular design structure based on representing the governing partial differential equations (PDEs) in a weak form, with the residual term being described as a "kernel."…”

Section: Fracmanmentioning

confidence: 99%

A Reference Thermal-Hydrologic-Mechanical Native State Model of the Utah FORGE Enhanced Geothermal Site

et al. 2021

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The Frontier Observatory for Research in Geothermal Energy (FORGE) site is a multi-year initiative funded by the U.S. Department of Energy for enhanced geothermal system research and development. The site is located on the margin of the Great Basin near the town of Milford, Utah. Work has so far resulted in the compilation of a large amount of subsurface data which have been used to improve the geologic understanding of the site. Based on the compiled data, a three-dimensional geologic model describing the structure, composition, permeability, and temperature at the Utah FORGE site was developed. A deep exploratory well (Well 58-32) and numerous tests conducted therein provide information on reservoir rock type, temperature, stress, permeability, etc. Modeling and simulation will play a critical role at the site and need to be considered as a general scientific discovery tool to elucidate the behavior of enhanced geothermal systems and as a deterministic (or stochastic) tool to plan and predict specific activities. This paper will present the development of a reference native state model and the calibration of the model to the reservoir pressure, temperature, and stress measured in Well 58-32.

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Section: Fracmanmentioning

confidence: 99%

A Reference Thermal-Hydrologic-Mechanical Native State Model of the Utah FORGE Enhanced Geothermal Site

et al. 2021

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“…In a report on the Virtual Environment for Reactor Applications (VERA), Montgomery et al 31 consider that using the Multiphysics Object-Oriented Simulation Environment (MOOSE), which is based on the JFNK method in the BISON project, to study fuel performance is a fully coupled strategy. Gaston et al 16,33 in the MOOSE project also consider that MOOSE, which solves multi-physical associated PDEs simultaneously, is a fully coupled software. Figure 3 presents the three main points on classifying loose, tight, and full coupling strategies.…”

Section: Classification Of Key Terms Describing Multiphysics Couplingmentioning

confidence: 99%

Multi-physics coupling simulation in virtual reactors

Wang

et al. 2019

SIMULATION

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Nuclear power stations involve a range of complex and interacting multi-physical processes. With the rapid development of high-performance computing technology, accurate multi-physics simulation in virtual reactors has drawn more and more attention in industry and academia. Great efforts have been made toward the simulation of multi-physics coupling processes in reactors. The interpretations of many terms that describe multi-physics simulation vary in different literatures. We organize and discuss some important terms relevant to the multi-physics coupling simulation. We compare the three most frequently used multi-physics coupling strategies: the operator splitting, Picard iteration, and Jacobian-Free Newton–Krylov methods. We summarize three main viewpoints on the degree of coupling of the three strategies (loose, tight, or full coupling). Then we review the coupling software and corresponding coupling strategies in some representative virtual reactor projects. We present the research focuses of Spider coupling platform. The Spider is developed in the China Virtual Reactor (CVR) project. The multi-physics phenomena are considered in the CVR project from three scales: fuel scale, reactor core scale, and system scale. Both loose and tight coupling strategies are supported in the Spider platform.

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“…The coupling of different physical phenomena in hydrology and other domains has received much attention in the past few years [ Gaston et al ., ]. A multiphysics system comprises multiple processes, governed by different principles, that act simultaneously [ Keyes et al ., ].…”

Section: Current Challengesmentioning

confidence: 99%

Physically based modeling in catchment hydrology at 50: Survey and outlook

2015

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Integrated, process‐based numerical models in hydrology are rapidly evolving, spurred by novel theories in mathematical physics, advances in computational methods, insights from laboratory and field experiments, and the need to better understand and predict the potential impacts of population, land use, and climate change on our water resources. At the catchment scale, these simulation models are commonly based on conservation principles for surface and subsurface water flow and solute transport (e.g., the Richards, shallow water, and advection‐dispersion equations), and they require robust numerical techniques for their resolution. Traditional (and still open) challenges in developing reliable and efficient models are associated with heterogeneity and variability in parameters and state variables; nonlinearities and scale effects in process dynamics; and complex or poorly known boundary conditions and initial system states. As catchment modeling enters a highly interdisciplinary era, new challenges arise from the need to maintain physical and numerical consistency in the description of multiple processes that interact over a range of scales and across different compartments of an overall system. This paper first gives an historical overview (past 50 years) of some of the key developments in physically based hydrological modeling, emphasizing how the interplay between theory, experiments, and modeling has contributed to advancing the state of the art. The second part of the paper examines some outstanding problems in integrated catchment modeling from the perspective of recent developments in mathematical and computational science.

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Parallel Algorithms and Software for Nuclear, Energy, and Environmental Applications. Part II: Multiphysics Software

Cited by 13 publications

References 35 publications

A Reference Thermal-Hydrologic-Mechanical Native State Model of the Utah FORGE Enhanced Geothermal Site

A Reference Thermal-Hydrologic-Mechanical Native State Model of the Utah FORGE Enhanced Geothermal Site

Multi-physics coupling simulation in virtual reactors

Physically based modeling in catchment hydrology at 50: Survey and outlook

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