Issues
Minimization of radiation risks from planned occupational exposure as in the case of nuclear legacy facilities liquidation
«Radiation and Risk», 2017, vol. 26, No. 4, pp.7-21
DOI: 10.21870/0131-3878-2017-26-4-7-21
Authors
Ivanov V.K.1 – Deputy Director, Chairman of RSCRP, Corresponding Member of RAS. A. Tsyb MRRC, Obninsk.
Gorski A.I.1 – Lead. Researcher, C. Sc. A. Tsyb MRRC, Obninsk. Contacts: 4 Korolyov str., Obninsk, Kaluga region, Russia, 249036. Tel.: (484) 399-32-60; e-mail:
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.
Korelo A.M.1 – Senior Researcher. A. Tsyb MRRC, Obninsk.
Maksioutov M.A.1 – Head of Lab., C. Sc., Tech.A. Tsyb MRRC, Obninsk.
Tumanov K.A.1 – Head of Lab., C. Sc., Biol. A. Tsyb MRRC, Obninsk.
Samoylov A.A.2 – Senior Specialist. Nuclear Safety Institute of the Russian Academy of Sciences (IBRAE RAS), Moscow.
Biryukov D.V.2 – Researcher. Nuclear Safety Institute of the Russian Academy of Sciences (IBRAE RAS), Moscow.
Ilyasov D.F.2 – Res. Assistant. Nuclear Safety Institute of the Russian Academy of Sciences (IBRAE RAS), Moscow.
Abstract
The model for minimizing lifetime radiation risk of death for people doing radiation hazardous work was developed. According to the model the optimal accommodation of the workers with high cumulative doses and high doses of possible occupational radiation exposure allows minimization of the risk. For these purposes the solution of a problem of linear integer programming (problem of allocation) was used. The developed model was applied to minimization of integrated lifetime risk of death from radiation associated cancer assessed for a team of workers, who withdrawn radioactive wastes from the storage at the Beloyarsk NPP. Due to developed plan of radiological protection optimization they managed to reduce the life-time radiation risks by 5-7 times. To solve the problem state-of-the-art models for radiation risks, methods for risks optimization, necessary for estimation of radiological danger were used. Due to corresponding constraints the developed method is a flexible tool applicable to optimization of radiation hazardous works practically at all nuclear power providers and operation procedures. We see it practicable to use the developed method for planning radiation hazardous operation procedures.
Key words
Minimization of radiation risk, nuclear legacy, solid radioactive waste, staff variation, radiation protection, problem of allocation, linear integer programming, UNSCEAR risk model, simplex method, Beloyarsk NPP.
References
1. Abramov A.A., Dorofeev A.N., Komarov E.A., Kudryavtsev E.G., Bolshov L.A., Linge I.I., Abalkina I.L., Biryukov D.V., Vedernikova M.V., Khamaza A.A., Sharafutdinov R.B., Bochkarev V.V. Concerning the evaluation of nuclear legacy volume in the nuclear industry and other facilities of nuclear energy peaceful use in Russia. Yadernaya i radiatsionnaya bezopasnost' – Nuclear and Radiation Safety, 2014, no. 3 (73), pp. 3-13. (In Russian).
2. Kuhn H.W. The Hungarian method for the assignment problem. Naval Research Logistics Quarterly, 1955, vol. 2, pp. 83-97.
3. Land A.H., Doig A.G. An automatic method of solving discrete programming problems. Econometrica, 1960, vol. 28, no. 3, pp. 497-520.
4. Mathcad. Available at: http://www.ptc.ru.com/engineering-math-software/mathcad (Accessed 4.10.2017).
5. Dyakonov V.P. MATLAB 6.5 SP1/7 + Simulink 5/6 in mathematics and modeling. Professional Library. Moscow, SOLON-Press, 2005. 576 p. (In Russian).
6. Takha Khemdi А. Chapter 3. Simplex method. Operations Research: An Introduction. 7th ed. Moscow: Williams Publ., 2007, pp. 95-141. (In Russian).
7. The 2007 Recommendations of the International Commission on Radiological Protection. ICRP Publication 103. Ann. ICRP, 2007, vol. 37, no. 2-4.
8. United Nations Scientific Committee on the Effects of Atomic Radiation. Effects of ionizing radiation. UNSCEAR 2006 Report. New York, United Nations, 2008.
9. Ivanov V.K., Korelo A.M., Panfilov A.P., Raykov C.V. ARMIR: the system for optimization of radiological protection of the staff. Moscow, Pero Publ., 2014. 302 p. (In Russian).