High flux isotope reactor cold source preconceptual design study report

Selby, D.L.; Bucholz, J.A.; Burnette, S.E.

doi:10.2172/188618

Cited by 2 publications

(7 citation statements)

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“…A. Bucholz to support the HFIR cold source design. The first illustration of an MCNP HFIR model was shown in the report documenting the preconceptual design of the HFIR cold source [16]. Important additions were made later to the model by D. E. Peplow to include details for the beam tubes and cold source [17].…”

Section: A Brief History Of Hfir Core Analysis Modelsmentioning

confidence: 99%

“…A value of 6.02214 × 10 23 mol -1 was used for N A . Cross-section data for 1 H and 16 O were applied in the model to the H and O contents in water, calculated as mentioned above, as well as in all materials in the configuration that have water as a component. The revised coolant data for coolant materials m1 to m9 in the model are presented in Table 7.…”

Section: Coolant Datamentioning

confidence: 99%

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Modeling and Simulations for the High Flux Isotope Reactor Cycle 400

Ilas

Chandler

Ade

et al. 2015

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A concerted effort over the past few years has been focused on enhancing the core model for the High Flux Isotope Reactor (HFIR), as part of a comprehensive study for HFIR conversion from high-enriched uranium to low-enriched uranium (LEU) fuel. At this time, the core model used to perform analyses in support of HFIR operation is a Monte Carlo model with the MCNP code for the beginning of Cycle 400, which was documented in detail in a 2005 technical report. An updated HFIR core depletion model that is based on current state-of-the-art methods and nuclear data was needed to serve as reference for the design of an LEU fuel for HFIR.The recent enhancements in modeling and simulations for HFIR that are discussed in the present report include: (1) revision of the 2005 MCNP model for the beginning of Cycle 400 to improve the modeling data and assumptions as necessary based on appropriate primary reference sources-HFIR drawings and reports; (2) improvement of the fuel region model, including an explicit representation for the involute fuel plate geometry that is specific to HFIR fuel; and (3) revision of the Monte Carlo-based depletion model for HFIR, in use since 2009 but never documented in detail, with the development of a new depletion model for the HFIR explicit fuel plate representation.The new HFIR models for Cycle 400 are used to determine various metrics of relevance to reactor performance and safety assessments. The calculated metrics are compared, where possible, with measurement data from preconstruction critical experiments at HFIR, data included in the current HFIR safety analysis report, and/or data from previous calculations performed with different methods or codes. The results of the analyses show that the models presented in this report provide a robust and reliable basis for HFIR analyses.

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Section: A Brief History Of Hfir Core Analysis Modelsmentioning

confidence: 99%

Section: Coolant Datamentioning

confidence: 99%

Modeling and Simulations for the High Flux Isotope Reactor Cycle 400

Ilas

Chandler

Ade

et al. 2015

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“…Initiating event frequency and component failure data were taken from reports on cryogenic equipment performance, where possible, and the HFlR PRA as documented in ref. 3. The quantitative analysis assumes that there are 10 fuel cycles per year at 23 d per cycle (approximately 5500 operating hours per year).…”

Section: Examination Of Event Scenariosmentioning

confidence: 99%

“…The basis for a long-term RAM program is a monitoring and feedback process that ( 1 ) identifies areas of weakness or degradation before it affects the cold source overall availability, (2) acknowledges that the actual performance of the system may not match the projected performance, and ( 3 ) is dynamic with the ability to adapt to long-term performance changes and modifications to the system. Monitoring of performance data for decreasing performance trends is critical to the identification of pending failures, especially those that could be hidden from the operations staff during normal operations.…”

Section: Implementing a Long-term Ram Programmentioning

confidence: 99%