Volume 5, Issue 3, September 2020, Page: 36-43
Evaluating Precise Quantity of Decommissioning Waste by Cutting Virtual 3D Models of Large Equipment
Hiroshi Seki, Research & Development Group, Hitachi, Ltd., Hitachi-shi, Japan
Mitsutaka Imamura, Nuclear Engineering and Product Division, Hitachi-GE Nuclear Energy, Ltd., Hitachi-shi, Japan
Hiroshi Nagase, Nuclear Engineering and Product Division, Hitachi-GE Nuclear Energy, Ltd., Hitachi-shi, Japan
Received: Oct. 1, 2020;       Accepted: Oct. 22, 2020;       Published: Oct. 30, 2020
DOI: 10.11648/j.ns.20200503.12      View  52      Downloads  26
Abstract
Equipment and piping components contaminated by radioactive materials and/or containing low-level irradiated waste must be cut, segmented, and packed into waste containers. Workers need to avoid overexposure to radiation in dismantling environments, and the number of waste containers for the pieces of equipment and piping components needs to be minimized. Thus, we developed an automatic planning method for virtually cutting 3D equipment with limitations on container size, radioactivity, weight, and dose rate. Cutting sequence data was used to formulate different cutting-work procedures, generate cut objects, and calculate the exposure during disassembling work. By calculating the required cutting length and dose-rate distribution in working environments for various cutting sequences of large equipment, the developed system is expected to aid in the planning of decommissioning. To utilize systems engineering in conjunction with elemental technologies, the following problems need to be solved; both weight and volume of the waste need to be controlled so that radioactive waste for decommissioning nuclear power plants is traceable. Identifying segmented equipment from a 3D model is key to calculating the number of volumetric segmented fragments and required number of containers. To evaluate exposure and amount of waste, we developed an automatic planning method for virtually cutting 3D equipment objects given constraints. Cutting sequence data was used to formulate different cutting workflows, generate cut objects, and calculate the exposure dose from disassembling work.
Keywords
Decommissioning, 3D-CAD, Dose-Rate Visualization, Waste-Quantity Estimation, Virtual Cutting Plane
To cite this article
Hiroshi Seki, Mitsutaka Imamura, Hiroshi Nagase, Evaluating Precise Quantity of Decommissioning Waste by Cutting Virtual 3D Models of Large Equipment, Nuclear Science. Vol. 5, No. 3, 2020, pp. 36-43. doi: 10.11648/j.ns.20200503.12
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
Schmittem M. (2016). Nuclear decommissioning in Japan: Opportunities for European companies, EU–Japan Centre for Industrial Cooperation, https://www.eu-japan.eu/sites/default/files/publications/docs/2016-03-nuclear-decommissioning-japan-schmittem-min_0.pdf.
[2]
Grossi A. et al. (2013). Cost estimation for decommissioning of research reactors, INAC 2013 ISBN 978-85-99141-05-2, https://inis.iaea.org/collection/NCLCollectionStore/_Public/46/021/46021420.pdf.
[3]
Yanagihara, S. (1993) COSMARD: The Code System for Management of JPDR Decommissioning, Journal of Nuclear Science and Technology, 30 (9): 890-899.
[4]
Iguchi, Y., Kanehira, Y., Tachibana, M. and Johnsen T. (2004). Development of decommissioning engineering support system (DEXUS) of the Fugen Nuclear Power Plant, Journal of Nuclear Science and Technology, 41 (3): 367–375.
[5]
Rindahl, G. and Mark, K. (2008). Innovative and adaptive technologies in decommissioning of nuclear facilities; VRDose and emerging 3D software solutions to support decommissioning activities, IAEA-TECDOC- 1602 147-158.
[6]
Szőke, I., Louka, M., Bryntesen, T., Bratteli, J., Edvardsen, S., RøEitrheim, K. and Bodor, K. (2014). Real-time 3D radiation risk assessment supporting simulation of work in nuclear environments, Journal of Radiological Protection 34 (2): 389–416.
[7]
Szőke, I., Louka, M., Bryntesen, T., Edvardsen, S. and Bratteli, J. (2015). Comprehensive support for nuclear decommissioning based on 3D simulation and advanced user interface technologies, Journal of Nuclear Science and Technology, 52 (3): 371–387.
[8]
Ohga, Y., Fukuda, M., Shibata, K., Kawakami, T. and Matsuzaki, T. (2005). A system for the calculation of radiation field for maintenance support in nuclear power plants Radiation Protection Dosimetry, 116 (1-4): 592-596.
[9]
Paviot, T., Mouton, C., and Lamouri, S. (2013). Long term control of 3D engineering data for nuclear power plants, Proceedings of the 18th International Conference on 3D Web Technology, ACM 205.
[10]
Lee, J., Kim, G., Kim, I., Hyun, D., Jeong, K., Choi, B., and Moon, J. (2016). Establishment of the framework to visualize the space dose rates on the dismantling simulation system based on a digital manufacturing platform, Annals of Nuclear Energy 95: 161-167.
[11]
Kim, I., Choi, B., Hyun, D., Moon, J., Lee, J., Jeong, K. and Kang, S. (2016). A framework for a flexible cutting-process simulation of a nuclear facility decommission, Annals of Nuclear Energy 97: 204-207.
[12]
Nonaka, Y., Yamamoto, E., Oya, K., Enomoto, A. and Seki, H. (2016). Development of IT-driven power plant engineering work support systems, Hitachi Review 65 (4): 963-968.
[13]
Seki, H., Imamura, M., Kitahara, T., Enomoto, A. (2017). Estimation of decommissioning quantity based on 3D intelligent model, Proceedings of the 45th Annual Waste Management Conference International Conference (WM2017) 17075.
[14]
Ishigure, K. (2003). Decommissioning strategies and programme developments of Japan Proceedings of the SFEN Conference. Decommissioning challenges: An Industrial Reality? https://inis.iaea.org/search/searchsinglerecord.aspx?recordsFor=SingleRecord&RN=35089854.
[15]
Sato, T., Niita, K., Matsuda, N., Hashimoto, S., Iwamoto, Y., Noda, S., Ogawa, T., Iwase, H., Nakashima, H., Fukahori, T., Okumura, K., Kai, T., Chiba, S., Furuta, T. and Sihver, L. (2013). Particle and heavy ion transport code system PHITS, Version 2.52, Journal of Nuclear Science and Technology, 50 (9). 913-923.
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