Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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INTEGRATED SOCIETAL RISK ASSESSMENT FRAMEWORK FOR NUCLEAR POWER AND RENEWABLE ENERGY SOURCES

  • LEE, SANG HUN (Department of Nuclear and Quantum Engineering, KAIST) ;
  • KANG, HYUN GOOK (Department of Nuclear and Quantum Engineering, KAIST)
  • Received : 2014.10.13
  • Accepted : 2015.01.14
  • Published : 2015.06.25
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Abstract

Recently, the estimation of the social cost of energy sources has been emphasized as various novel energy options become feasible in addition to conventional ones. In particular, the social cost of introducing measures to protect power-distribution systems from power-source instability and the cost of accident-risk response for various power sources must be investigated. To account for these risk factors, an integrated societal risk assessment framework, based on power-uncertainty analysis and accident-consequence analysis, is proposed. In this study, we applied the proposed framework to nuclear power plants, solar photovoltaic systems, and wind-turbine generators. The required capacity of gas-turbine power plants to be used as backup power facilities to compensate for fluctuations in the power output from the main power source was estimated based on the performance indicators of each power source. The average individual health risk per terawatt-hours (TWh) of electricity produced by each power source was quantitatively estimated by assessing accident frequency and the consequences of specific accident scenarios based on the probabilistic risk assessment methodology. This study is expected to provide insight into integrated societal risk analysis, and can be used to estimate the social cost of various power sources.

Keywords

Acknowledgement

Grant : Valuation and Socioeconomic Validity Analysis of Nuclear Power Plants In Low Carbon Energy Development Era

Supported by : Korea Institute of Energy Technology Evaluation and Planning

References

  1. Y. Matsuo, Summary and Evaluation of Cost Calculation for Nuclear Power Generation by the Cost Estimation and Review Committee, Institute for Energy Economics, Tokyo, Japan, 2012.
  2. H.W. Lewis, R.J. Budnitz, W.D. Rowe, H.J.C. Kouts, F.V. Hippel, W.B. Loewenstein, F. Zachariasen, Risk assessment review group report to the US Nuclear Regulatory Commission, IEEE Trans. Nucl. Sci. 26 (1979) 4686-4690. https://doi.org/10.1109/TNS.1979.4330198
  3. T. Tsoutsos, N. Frantzeskaki, V. Gekas, Environmental impacts from the solar energy technologies, Energy Policy 33 (2005) 289-296. https://doi.org/10.1016/S0301-4215(03)00241-6
  4. J.F. MacQueen, J.F. Ainslie, D.J. Milborrow, D.M. Turner, D.T. Swift-Hook, Risks associated with wind-turbine blade failures, IEEE Proc. A (Phys. Sci. Meas. Instrum., Manage. Educ. Rev.) 130 (1983) 574-586. https://doi.org/10.1049/ip-a-1.1983.0088
  5. Institute of Electrical and Electronics Engineers (IEEE), IEEE Standard Definitions for Use in Reporting Electric Generating Unit Reliability, Availability and Productivity, IEEE Standard 762, IEEE, New York, 2006.
  6. International Atomic Energy Agency [Internet]. Power Reactor Information System (PRIS), Vienna, Austria, 2014 [cited]. Available from: http://www.iaea.org/pris/. (accessed 06.08.14).
  7. Korea Institute of Nuclear Safety [Internet]. Operational Performance Information System (OPIS) Daejeon, South Korea, 2014 [cited]. Available from: http://opis.kins.re.kr/. (accessed 24.07.14).
  8. L.W. Meech, On the Relative Intensity of the Heat and Light of the Sun upon Different Latitudes of the Earth, vol. 9, Smithsonian Institution, Washington, DC, 1857.
  9. D.K. Jo, C.Y. Yun, K.D. Kim, Y.H. Kang, Revaluation of atmospheric clearness Index in Korea Peninsula, in: Proceedings of the Annual Autumn Conference of the Korean Solar Energy Society (KSES 2009), vol. 11, 2009, pp. 68-73.
  10. E. Lorenzo, Solar Electricity: Engineering of Photovoltaic Systems, Earthscan/James & James, London, 1994.
  11. California Solar Center [Internet]. Solarex MSX60 and MSX64 Solar Arrays Datasheet, MD, USA, 1997 [cited]. Available from: http://www.californiasolarcenter.org/newssh/pdfs/solarexMSX64.pdf. (accessed 28.07.14).
  12. P.M. Steven, E.G. Jennifer, S.S. Joshua, The Comparison of Three Photovoltaic System Designs Using the Photovoltaic Reliability and Performance Model (PVRPM), Rep. No. SAND2012-10342, Sandia National Laboratories, Albuquerque, NM, 2012.
  13. J.V. Seguro, T.W. Lambert, Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis, J. Wind. Eng. Ind. Aerodyn. 85 (2000) 75-84. https://doi.org/10.1016/S0167-6105(99)00122-1
  14. D.W. Kim, H.R. Byun, Spatial and temporal distribution of wind resources over Korea, J. Atmos. 18 (2008) 171-182.
  15. P. Giorsetto, F.U. Kent, Development of a new procedure for reliability modeling of wind turbine generators, IEEE Trans. Power Appar. Syst. 1 (1983) 134-143.
  16. A.G. Siemens, Siemens Wind Turbine SWT 2.3-93 Brochure, Berlin, Germany, 2009.
  17. E. Echavarria, B. Hahn, G.J. van Bussel, T. Tomiyama, Reliability of wind turbine technology through time, J. Sol. Energy Eng. 130 (2008) 031005. https://doi.org/10.1115/1.2936235
  18. S.R. Arwade, A.L. Matthewand, D.G. Mircea, Probabilistic models for wind turbine and wind farm performance, J. Sol. Energy Eng. 133 (2011) 041006. https://doi.org/10.1115/1.4004273
  19. U.S. Department of Energy (DOE), MACCS2 Computer Code Application Guidance for Documented Safety Analysis, DOEEH-4.2.1.4, U.S. Department of Energy, Office of Environment, Safety and Health, Washington, DC, 2004.
  20. T.W. Kim, J.J. Ha, S.H. Kim, J.T. Jeong, K.R. Min, K.Y. Kim, A Comparison Study on the Integrated Risk Estimation for Various Power Systems, Rep. No. KAERI/RR-2513, Korea Atomic Energy ResearchInstitute, Daejeon, South Korea, 2007.
  21. B.H. Ha, Y.O.J.Y. Oh, S.J. Oh, Examination of the emergency planning zone (EPZ) using level 3 PSA approach with MACCS2, in: Transactions of the Korean Nuclear Society Autumn Meeting (KNS 2013-Autumn), vol. 2, 2013, p. 485.
  22. D.I. Chanin, M.L. Young, J. Randall, K. Jamali, Code Manual for MACCS2, in: User's Guide (SAND97-0594), vol. 1, Sandia National Laboratories, Albuquerque, NM, 1997.
  23. U.S. Environmental Protection Agency (EPA), Integrated Risk Information System (IRIS) on Cadmium, National Center for Environmental Assessment, Office of Research and Development, Washington, DC, 1999.
  24. V.M. Fthenakis, M. Fuhrmann, J. Heiser, A. Lanzirotti, J. Fitts, W. Wang, Emissions and encapsulation of cadmium in CdTe PV modules during fires, Prog. Photovoltaics: Res. Appl. 13 (2005) 713-723. https://doi.org/10.1002/pip.624
  25. P.D. Moskowitz, V.M. Fthenakis, Toxic materials released from photovoltaic modules during fires: health risks, Solar Cells 29 (1990) 63-71. https://doi.org/10.1016/0379-6787(90)90015-W
  26. U.S. Environmental Protection Agency (EPA), Proposed Guidelines for Carcinogen Risk Assessment, 17960-18011, U.S. EPA, Washington, DC, 1996.
  27. L.M. Sturdivan, D.C. Viano, H.R. Champion, Analysis of injury criteria to assess chest and abdominal injury risks in blunt and ballistic impacts, J. Trauma 56 (2004) 651-663. https://doi.org/10.1097/01.TA.0000074108.36517.D4
  28. M. Frank, B. Bockholdt, D. Peters, J. Lange, R. Grossjohann, A. Ekkernkamp, P. Hinz, Blunt criterion trauma model for head and chest injury risk assessment of cal. 380 R and cal. 22 long blank cartridge actuated gundog retrieval devices, Forensic Sci. Int. 208 (2011) 37-41. https://doi.org/10.1016/j.forsciint.2010.10.023
  29. C.H. Lee, External Costs of Nuclear Energy in Korea, Korea Environment Institute, Seoul, Korea, 2013.
  30. Statistics Korea (KOSTAT) [Internet]. Korean Statistical Information Service (KOSIS), Daejeon, South Korea, 2014 [cited]. Available from: http://kosis.kr/. (accessed 25.09.14).
  31. Larwood, Scott, C.P. Van Dam, Permitting setback requirements for wind turbines in California, California Wind Energy Collective, 2006.
  32. A. Luigi, P.C. Braga, R. Dal, Clean technology and the environment, Aerobiologia 11 (1995) 279. https://doi.org/10.1007/BF02447211

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