A Framework to Expand and Advance Probabilistic Risk Assessment to Support Small Modular Reactors

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During the early development of nuclear power plants, researchers and engineers focused on many aspects of plant operation, two of which were getting the newly-found technology to work and minimizing the likelihood of perceived accidents through redundancy and diversity. As time, and our experience, has progressed, the realization of plant operational risk/reliability has entered into the design, operation, and regulation of these plants. But, to date, we have only dabbled at the surface of risk and reliability technologies. For the next generation of small modular reactors (SMRs), it is imperative that these technologies evolve into an accepted, encompassing, validated, and ... continued below

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Smith, Curtis; Schwieder, David; Nourgaliev, Robert; Phelan, Cherie; Mandelli, Diego; Kvarfordt, Kellie et al. September 1, 2012.

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Description

During the early development of nuclear power plants, researchers and engineers focused on many aspects of plant operation, two of which were getting the newly-found technology to work and minimizing the likelihood of perceived accidents through redundancy and diversity. As time, and our experience, has progressed, the realization of plant operational risk/reliability has entered into the design, operation, and regulation of these plants. But, to date, we have only dabbled at the surface of risk and reliability technologies. For the next generation of small modular reactors (SMRs), it is imperative that these technologies evolve into an accepted, encompassing, validated, and integral part of the plant in order to reduce costs and to demonstrate safe operation. Further, while it is presumed that safety margins are substantial for proposed SMR designs, the depiction and demonstration of these margins needs to be better understood in order to optimize the licensing process.

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  • Report No.: INL/EXT-12-27345
  • Grant Number: DE-AC07-05ID14517
  • DOI: 10.2172/1060982 | External Link
  • Office of Scientific & Technical Information Report Number: 1060982
  • Archival Resource Key: ark:/67531/metadc828059

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Office of Scientific & Technical Information Technical Reports

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  • September 1, 2012

Added to The UNT Digital Library

  • May 19, 2016, 9:45 a.m.

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  • June 20, 2016, 1:57 p.m.

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Smith, Curtis; Schwieder, David; Nourgaliev, Robert; Phelan, Cherie; Mandelli, Diego; Kvarfordt, Kellie et al. A Framework to Expand and Advance Probabilistic Risk Assessment to Support Small Modular Reactors, report, September 1, 2012; Idaho Falls, Idaho. (digital.library.unt.edu/ark:/67531/metadc828059/: accessed July 23, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.