Ematical modeling and optimization of fuel utilization in the decommissioning of an RBMK reactor
https://doi.org/10.26583/vestnik.2025.5.2
EDN: GCYQRI
Abstract
For NPPs with RBMK reactors, a physical problem of choosing a time shift between power unit shutdowns is formulated and solved in order to maximize the use of the fuel energy resource of reactors being decommissioned. The mathematical model used to solve the optimization problem is based on a point model of the fuel assembly distribution dynamics by energy production (fuel assembly spectrum), which allows predicting the change in the fuel assembly spectrum over time in an operating reactor depending on the tactics of loading burnt-out fuel assemblies from a shut-down reactor. It is shown that optimal planning of the shift between power unit shutdowns allows saving hundreds of "fresh fuel assemblies" depending on the selected fuel afterburning strategy. The paper examines a scenario in which one of the reactors is shut down and the second one continues to operate for a limited time. The possibility of loading fuel from the first reactor to the second one is studied in order to minimize the total consumption of fresh fuel assemblies. The proposed approach takes into account both physical and technological limitations. The results of numerical modeling are presented, demonstrating the efficiency of the proposed fuel redistribution algorithm. The obtained data can be used in planning the decommissioning of power units in order to increase fuel efficiency and reduce the costs of purchasing fresh fuel assemblies.
About the Authors
A. M. ZagrebaevRussian Federation
G. A. Litvinova
Russian Federation
A. S. Yastrebov
Russian Federation
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Review
For citations:
Zagrebaev A.M., Litvinova G.A., Yastrebov A.S. Ematical modeling and optimization of fuel utilization in the decommissioning of an RBMK reactor. Vestnik natsional'nogo issledovatel'skogo yadernogo universiteta "MIFI". 2025;14(5):393-401. (In Russ.) https://doi.org/10.26583/vestnik.2025.5.2. EDN: GCYQRI
 
                     
         
             
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