Logistical Optimization of Nuclear Waste Flows during Decommissioning
Authors: G. Dottavio, M. F. Andrade, F. Renard, V. Cheutet, A.-L. L. S. Vercraene, P. Hoang, S. Briet, R. Dachicourt, Y. Baizet
Abstract:
An important number of technological equipment and high-skilled workers over long periods of time have to be mobilized during nuclear decommissioning processes. The related operations generate complex flows of waste and high inventory levels, associated to information flows of heterogeneous types. Taking into account that more than 10 decommissioning operations are on-going in France and about 50 are expected toward 2025: A big challenge is addressed today. The management of decommissioning and dismantling of nuclear installations represents an important part of the nuclear-based energy lifecycle, since it has an environmental impact as well as an important influence on the electricity cost and therefore the price for end-users. Bringing new technologies and new solutions into decommissioning methodologies is thus mandatory to improve the quality, cost and delay efficiency of these operations. The purpose of our project is to improve decommissioning management efficiency by developing a decision-support framework dedicated to plan nuclear facility decommissioning operations and to optimize waste evacuation by means of a logistic approach. The target is to create an easy-to-handle tool capable of i) predicting waste flows and proposing the best decommissioning logistics scenario and ii) managing information during all the steps of the process and following the progress: planning, resources, delays, authorizations, saturation zones, waste volume, etc. In this article we present our results from waste nuclear flows simulation during decommissioning process, including discrete-event simulation supported by FLEXSIM 3-D software. This approach was successfully tested and our works confirms its ability to improve this type of industrial process by identifying the critical points of the chain and optimizing it by identifying improvement actions. This type of simulation, executed before the start of the process operations on the basis of a first conception, allow ‘what-if’ process evaluation and help to ensure quality of the process in an uncertain context. The simulation of nuclear waste flows before evacuation from the site will help reducing the cost and duration of the decommissioning process by optimizing the planning and the use of resources, transitional storage and expensive radioactive waste containers. Additional benefits are expected for the governance system of the waste evacuation since it will enable a shared responsibility of the waste flows.
Keywords: Nuclear decommissioning, logistical optimization, decision-support framework, waste management.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1127022
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1559References:
[1] V. Michal and V. Ljubenov, «IAEA perspectives on preparation for decommissioning» chez In International Symposium on Preparation for Decommissioning - PREDEC'16, Lyon, France, 2016.
[2] I.-H. Chou and C.-F. Fan, «Developing integrated decommissioning information management system (IDIMS) of nuclear facilities» Journal of Nuclear Science and Technology, pp. 596-604, 2006.
[3] S. Yanagihara, T. Sukegawa and K. Shiraishi, «Development of Computer Systems for Planning and Management of Reactor Decommissioning» Journal of Nuclear Science and Technology, pp. 193-202, 2001.
[4] A.-L. Ladier, S. Vercraene, V. Cheutet and R. Dachicourt, «Planification et gestion des flux de déchets issus du démantèlement d’installations nucléaires» chez Congrès annuel de la société française de recherche opérationnelle et d’aide à la décision (ROADEF), Compiègne, France, 2016.
[5] M. Semini, H. Fauske and J. O. Strandhagen, «Applications of Discrete-Event Simulation to Support Manufacturing Logistics Decision-Making: A Survey» chez Proceedings of the 2006 Winter Simulation Conference, Monterey, CA, USA, 2006.
[6] G. Fishman, Discrete-Event Simulation: Modeling, Programming, and Analysis, Springer Series in Operations Research and Financial Engineering, 2001.
[7] D. Elizandro and H. Taha, Performance Evaluation of Industrial Systems: Discrete Event Simulation in Using Excel/VBA., 2nd Edition éd., CRC Press, 2012.
[8] «FLEXSIM software» Available: www.FlexSim.com. Access date: 20/09/2016.
[9] X. Zhu, R. Zhang, F. Chu, Z. He and J. Li «A FlexSim-based Optimization for the Operation Process of Cold-Chain Logistics Distribution Centre» Journal of Applied Research and Technology, 2014.
[10] Z. Dan, H. Xiaoli, D. Weiru, W. Li and H. Yue, «Outpatient pharmacy optimization using system simulation» Procedia Computer Science, vol. 91, p. 27 – 36, 2016.