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The division provides a forum for focused technical dialogue on thermal hydraulic technology in the nuclear industry. Specifically, this will include heat transfer and fluid mechanics involved in the utilization of nuclear energy. It is intended to attract the highest quality of theoretical and experimental work to ANS, including research on basic phenomena and application to nuclear system design.
2022 ANS Annual Meeting
June 12–16, 2022
Anaheim, CA|Anaheim Hilton
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What are the key cost drivers for microreactors?
Microreactors upend the traditional economics of nuclear power plants by shifting the paradigm from economies of scale (large reactors) to economies of multiple (mass production). While shrinking power output per unit may increase costs per kilowatt compared to large plants, offsetting gains can be expected from simplified and standardized designs, factory fabrication, inherent safety, lower radionuclide inventories, fast installation, and low financing costs. For instance, the lower power density in a microreactor core leads to a greatly reduced decay heat source, simplifying emergency cooling needs. These design aspects can lead to innovations including substantial simplifications to safety and control needs, minimized human operational requirements, a very compact balance of plant, the ability to fabricate almost every component in a factory, shortened construction time, and less daunting financing.
R. C. Bauer
Nuclear Technology | Volume 200 | Number 2 | November 2017 | Pages 177-188
Technical Note | dx.doi.org/10.1080/00295450.2017.1360715
Articles are hosted by Taylor and Francis Online.
Computational fluid dynamics (CFD) tools are becoming more widely used in thermal-hydraulic (T/H) and plant analyses due to advances in computational capability, data storage, and speed. However, to date, most CFD studies are ad hoc in nature with little emphasis on building links between and among CFD studies and CFD users. Thus, CFD codes have not yet been effectively leveraged as design tools within the T/H and nuclear applications communities due to lack of a comprehensive and rigorous approach to both verification and validation and uncertainty propagation. Consequentially, CFD is generally relegated to limited diagnostic use or as an adjunct to conventional lumped-parameter codes that often are based on limited testing and use conservative bounding factors applied to the needed design calculations.
Because significant technical progress and development of CFD have occurred over the last decade, the potential now exists to move the use of CFD into the mainstream of analysis tools to address design, operational, and regulatory issues for complex hydraulic systems. This potential can serve as a basis upon which to develop CFD for use in an integrated design-by-simulation (IDS) environment. The CFD methodology to provide this rigor is identified as predictive-CFD (P-CFD) in this technical note.
In the P-CFD/IDS methodology, synergy and consensus will be obtained through more rigorous validation of the underlying physics phenomena of each analysis objective through use of an extensive database of validation-level tests (VLTs) by many universities and laboratories. This approach logically suggests the creation of a national P-CFD database to contain these VLT data sets for general practitioner access. Thus, the underlying physics is a building block for multiple system objectives whose phenomena require those physics behaviors for the needed assessments. By using the P-CFD/IDS methodology, CFD methods can be made consistent, credible, and reproducible.
Extensive references have been included to provide the status of the underlying background that supports P-CFD/IDS development. The path outlined is fully practical but difficult. This technical note is written to show a framework by which a validated CFD study for a given hydraulic objective can be prepared and used for the analyses of complex hydraulic systems to support design conclusions.