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Development of a Functional Complexity Reduction Concept of MMIS for Innovative SMRs

  • Gyan, Philip Kweku (Department of NPP Engineering, KEPCO International Nuclear Graduate School) ;
  • Jung, Jae Cheon (Department of NPP Engineering, KEPCO International Nuclear Graduate School)
  • Received : 2021.10.15
  • Accepted : 2021.12.17
  • Published : 2021.12.31

Abstract

The human performance issues and increased automation issues in advanced Small Modular Reactors (SMRs) are critical to numerous stakeholders in the nuclear industry, due to the undesirable implications targeting the Man Machine Interface Systems (MMIS) complexity of (Generation IV) SMRs. It is imperative that the design of future SMRs must address these problems. Nowadays, Multi Agent Systems (MAS) are used in the industrial sector to solve multiple complex problems; therefore incorporating this technology in the proposed innovative SMR (I-SMR) design will contribute greatly in the decision making process during plant operations, also reduce the number MCR operating crew and human errors. However, it is speculated that an increased level of complexity will be introduced. Prior to achieving the objectives of this research, the tools used to analyze the system for complexity reduction, are the McCabe's Cyclomatic complexity metric and the Henry-Kafura Information Flow metric. In this research, the systems engineering approach is used to guide the engineering process of complexity reduction concept of the system in its entirety.

Keywords

Acknowledgement

This work was supported by the 2021 Research Fund of the KEPCO International Nuclear Graduate School (KINGS), the Republic of Korea.

References

  1. J. O. Hara, J. Higgins, A. D. Agostino, and E. Lois, "Human Reliability Considerations for Small Modular Reactors," no. January 2012, pp. 1-16, 2012, doi: 10.2172/1043375.
  2. D. of N. P. IAEA, "Advances in Small Modular Reactor Technology developments," A Suppl. to IAEA Adv. React. Inf. Syst. 2020 Ed., p. 354, 2020, [Online]. Available: http://aris.iaea.org/.
  3. J. Hugo, D. Gertman, and J. Joe, "A Framework for Human Performance Criteria for Advanced Reactor Operational Concepts," no. August, 2014.
  4. J. O'Hara, J. Higgins, and M. Pena, "Human-Performance Issues Related to the Design and Operation of Small Modular Reactors Office of Nuclear Regulatory Research," 2012, [Online]. Available: http://www.nrc.gov/reading-rm.html.
  5. E. G. Pi et al., "STAR : The Secure Transportable Autonomous Reactor System ENCAPSULATED FISSION HEAT SOURCE (The ENHS Reactor) US Participating Organizations and Researchers Republic of Korea Participating Organizations and Researchers," no. 99, 2003.
  6. A. Kossiakoff, W. N. Sweet, S. J. Seymour, and S. M. Biemer, Systems Engineering Principles and Practice: Second Edition. 2011.
  7. C. Haskins, "Incose Systems Engineering Handbook Version 3.2.2 - A Guide For Life Cycle Processes and Activities," p. 376, 2012.
  8. R. M. Griego and D. Ph, "The System Concept : Bringing Order to Chaos INCOSE International Symposium 2012 Welcome to Tutorial," no. July, 2012.
  9. K. Bakliwal, M. H. Dhada, A. S. Palau, A. K. Parlikad, and B. K. Lad, "A Multi Agent System architecture to implement Collaborative Learning for social industrial assets," IFAC-PapersOnLine, vol. 51, no. 11, pp. 1237-1242, 2018, doi: 10.1016/j.ifacol.2018.08.421.
  10. J. Rocha, I. Boavida-Portugal, and E. Gomes, "Introductory Chapter: Multi-Agent Systems," Multi-agent Syst., Sep. 2017, doi: 10.5772/INTECHOPEN.70241.
  11. P. S. Walker, "Instrumentation and Technique," Artif. Knee, no. July, pp. 205-232, 2020, doi: 10.1007/978-3-030-38171-4_12.
  12. Nuclear Regulatory Commission, "NUREG-0696: Functional Criteria for Emergency Response Facilities," no. February, 1981.
  13. J. M. O'hara, W. S. Brown, J. J. Persensky, and P. M. Lewis, Human-System Interface Design Review Guidelines. 2002.
  14. D. Morisseau, U. S. N. R. Commission, and N.- Halden, "International Agreement Report A Study of Control Room Staffing Levels for Advanced Reactors Prepared by," no. November 2000.
  15. C. Overbey, J. Jenkins, H. Price, and R. Pulliman, "A methodology for allocating nuclear power plant control functions to human or automatic control," Trans. Am. Nucl. Soc.; (United States), vol. 45, no. June, 1983.
  16. "Human Factors Engineering Program Review Model."
  17. J. Mccabe, "A complexity Measure: Cyclomatic Complexity," no. 4, pp. 308-320, 1976.
  18. S. Sarala and P. A. Jabbar, "Information flow metrics and complexity measurement," Proc. - 2010 3rd IEEE Int. Conf. Comput. Sci. Inf. Technol. ICCSIT 2010, vol. 2, no. August 2010, pp. 575-578, 2010, doi: 10.1109/ICCSIT.2010.5563667.
  19. B. Afsar, D. Podkopaev, and K. Miettinen, "Data-driven Interactive Multiobjective Optimization: Challenges and a Generic Multi-agent Architecture," Procedia Comput. Sci., vol. 176, pp. 281-290, 2020, doi: 10.1016/j.procs.2020.08.030.
  20. A. Whaley, "Draft Function Allocation Framework and Preliminary Technical Basis for Advanced SMR Concept of Operations," no. April, 2013.
  21. O. Of and R. Process, "DESIGN-SPECIFIC REVIEW STANDARD for NuScale SMR DESIGN," pp. 1-31, 2007.
  22. J.K.NAVLAKHA, "A Survey of System Complexity Metrics," 1384.
  23. P. Goodman, "Software Metrics: Best Practices for Successful IT Management," p. 262, 2005, Accessed: Oct. 15, 2021. [Online]. Available: http://books.google.com/books?hl=fi&id=clrX1NfhAPUC&pgis=1.
  24. Y. C. Shin, H. Y. Chung, and T. Y. Song, "Advanced MMIS design characteristics of APR1400," pp. 15-19, 2003.