In the United States, sustainable nuclear power to promote energy security is a key national energy priority. Advanced small modular reactors (AdvSMR), which are based on modularization of advanced reactor concepts using non- light-water reactor (LWR) coolants such as liquid metal, helium, or molten salt, may provide a longer-term alternative to more conventional LWR-based concepts. The economics of AdvSMRs will be impacted by the reduced economy-of-scale savings when compared to traditional LWRs and the controllable day-to-day costs of AdvSMRs are expected to be dominated by operations and maintenance costs. Therefore, achieving the full benefits of AdvSMR deployment requires a new paradigm for plant design and management. In this context, prognostic health management of passive components in AdvSMRs can play a key role in enabling the economic deployment of AdvSMRs. This paper discusses features of AdvSMR systems that are likely to influence PHM implementation for passive components and discusses some requirements based on those features. Further, a brief overview of the state-of- the-art in PHM relevant to AdvSMR passive components is provided followed by an illustration of prognostics for passive AdvSMR components.
How to Cite
creep, particle filter, nuclear, small modular reactors
Abram, T., & Ion, S. (2008). Generation-IV nuclear power: A review of the state of the science. Energy Policy, vol. 36 (12), pp. 4323-4330. doi:10.1016/j.enpol.2008. 09.059.
An, D., Choi, J.-H., & Kim, N. H. (2012). A tutorial for model-based prognostics algorithms based on Matlab code. Annual Conference of Prognostics and Health Management Society 2012, September 23-27, Minneapolis, MN. http://www.phmsociety.org/sites/ phmsociety.org/files/phm_submission/2012/phmc_12_ 122.pdf.
Arulampalam, M. S., Maskell, S., Gordon, N., & Clapp, T. (2002). A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing, vol. 50 (2), pp. 174-188. doi:10.1109/78.978374.
Ball, S. J., Holcomb, D. E. & Cetiner, S. M. (2012). HTGR measurements and instrumentation systems. ORNL/TM-2012/107, Oak Ridge, TN: Oak Ridge National Laboratory.
Baraldi, P., Mangili, F., & Zio, E. (2012). Ensemble of bootstrapped models for the prediction of the remaining useful life of a creeping turbine blade. IEEE International Conference on Prognostics and Health Management: Enhancing Safety, Efficiency, Availability, and Effectiveness of Systems Through PHM Technology and Application (PHM 2012) (pp. 1-8),
June 18-21, Denver, CO. doi: 10.1109/ICPHM.2012.6299506.
Bond, L. J., Griffin, J. W., Posakony, G. J., Harris, R. V. & Baldwin, D. L. (2012). Materials issues in high temperature ultrasonic transducers for under-sodium viewing. Proceedings of 38th Annual Review of Progress in Quantitative Nondestructive Evaluation (pp. 1617–1624), July 17-22, 2011, Burlington, VT. doi: 10.1063/1.4716407.
Cetiner, S. M., Fugate, D. L., Kisner, R. A., & Wood, R. T. (2012). Functional requirements for supervisory control of advanced small modular reactors. SMR/ICHMI/ORNL/TR-2013/03, Oak Ridge, TN: Oak Ridge National Laboratory.
Coble, J. B., Coles, G. A., Ramuhalli, P., Meyer, R. M., Berglin, E. J., Wootan, D. W. & Mitchell, M. R (2013). Technical needs for enhancing risk monitors with equipment condition assessment for advanced small modular reactors. PNNL-22377 Rev. 0; SMR/ICHMI/PNNL/TR-2013/02, Richland, W A: Pacific Northwest National Laboratory.
Forsberg, C. (2012). A nuclear wind/solar oil-shale system for variable electricity and liquid fuels production. Proceedings of 2012 International Congress on Advances in National Power Plants (ICAPP '12) (pp. 2758-2765), June 24-28, Chicago, IL.
Forsberg, C. W., Lee, Y., Kulhanek, M., & Driscoll, M. J. (2012). Gigawatt-year nuclear-geothermal energy storage for light-water and high-temperature reactors. Proceedings of 2012 International Congress on Advances in National Power Plants (ICAPP '12) (pp. 2728-2737), June 24-28, Chicago, IL.
Haratyk, G., & Forsberg, C. W. (2011). Nuclear-renewables energy system for hydrogen and electricity production. Nuclear Technology, vol. 178 (1), pp. 66-82 http://epubs.ans.org/download/?a=13548.
Hines, J. W., Upadhyaya, B. R., Doster, J. M., Edwards, R. M., Lewis, K. D., Turinsky, P., & Coble, J. (2011). Advanced instrumentation and control methods for small and medium reactors with IRIS Demonstration.
Report No. DE-FG07-07ID14895/UTNE/2011-3, Knoxville, TN: The University of T ennessee. doi:10.2172/1015813.
Ingersoll, D. T. (2009). Deliberately small reactors and the second nuclear era. Progress in Nuclear Energy, vol. 51 (4-5), pp. 589-603. doi:10.1016/j.pnucene. 2009.01.003.
Kazys, R., Voleisis, A. & Voleisiene, B. (2008). High temperature ultrasonic transducers: Review. Ultragarsas (Ultrasound), vol. 63 (2), pp. 7-17.
Meyer, R. M., Coble, J. B., Hirt, E. H., Ramuhalli, P., Mitchell, M. R., Wootan, D. W., Berglin, E. J., Bond, L. J., & Henager Jr., C. H. (2013). Technical needs for prototypic prognostic technique demonstration for advanced small modular reactor passive components. PNNL-22488 Rev. 0, SMR/ICHMI/PNNL/TR-2013/01, Richland, WA: Pacific Northwest National Laboratory.
Nassour, A., Bose, W. W., & Spinelli, D. (2001). Creep properties of austenitic stainless-steel weld metals. Journal of Materials Engineering and Performance, vol. 10 (6), pp. 693-698. doi:10.1361/ 105994901770344566.
NERAC. (2002). A technology roadmap for generation iv nuclear energy systems - ten nations preparing today for tomorrow's energy needs. GIF-002-00, Washington, DC: U.S. DOE
Nuclear Energy Research Advisory Committee (NERAC) and the Generation IV International Forum (GIF). http://www.osti.gov/ energycitations/servlets/purl/859029-304XRr/.
Ramuhalli, P., Bond, L. J., Griffin, J. W., Dixit, M., & Henager, C. H., Jr. (2010). A Bayesian prognostic algorithm for assessing remaining useful life of nuclear power components. 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies (NPIC&HMIT 2010) (pp. 875-886, vol. 2), November 7-11,
Las Vegas, NV.
Rempe, J. L., MacLean, H., Schley, R., Hurley, D., Daw, J.,Taylor, S., Smith, J., Svoboda, J., Kotter, D., Knudson, D., Guers, M., Wilkins, S. C. & Bond, L. J. (2011). Strategy for developing new in-pile instrumentation to support fuel cycle research and development. INL/EXT-10-19149, Idaho Falls, ID: Idaho National Laboratory.
Smith, C. F., Halsey, W. G., Brown, N. W., Sienicki, J. J., Moisseytsev, A., & Wade, D. C. (2008). SSTAR: The US lead-cooled fast reactor (LFR). Journal of Nuclear Materials, vol. 376 (3), pp. 255-259. doi:10.1016/j.jnucmat.2008.02.049.
Southworth, F. H., MacDonald, P. E., Harrell, D. J., Shaber, E. L., Park, C. V., Holbrook, M. R., & Petti, D. A. (2003). The next generation nuclear plant (NGNP) project. Global 2003: Atoms for Prosperity: Updating Eisenhowers Global Vision for Nuclear Energy (pp. 276-287), November 16-20, New Orleans, LA.
Tsuboi, Y., Arie, K., Ueda, N., Grenci, T., & Yacout, A. M. (2012). Design of the 4S reactor. Nuclear Technology, vol. 178 (2), pp. 201-217.
Yvon, P., & Carre, F. (2009). Structural materials challenges for advanced reactor systems. Journal of Nuclear Materials, vol. 385 (2), pp. 217-222. doi:10.1016/j.jnucmat.2008.11.026.
Zinkle, S. J., & Busby, J. T. (2009). Structural materials for fission & fusion energy. Materials Today, vol. 12 (11), pp. 12-19. doi:10.1016/s1369-7021(09)70294-9.
The Prognostic and Health Management Society advocates open-access to scientific data and uses a Creative Commons license for publishing and distributing any papers. A Creative Commons license does not relinquish the author’s copyright; rather it allows them to share some of their rights with any member of the public under certain conditions whilst enjoying full legal protection. By submitting an article to the International Conference of the Prognostics and Health Management Society, the authors agree to be bound by the associated terms and conditions including the following:
As the author, you retain the copyright to your Work. By submitting your Work, you are granting anybody the right to copy, distribute and transmit your Work and to adapt your Work with proper attribution under the terms of the Creative Commons Attribution 3.0 United States license. You assign rights to the Prognostics and Health Management Society to publish and disseminate your Work through electronic and print media if it is accepted for publication. A license note citing the Creative Commons Attribution 3.0 United States License as shown below needs to be placed in the footnote on the first page of the article.
First Author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.